US20020026111A1 - Methods of monitoring glucose levels in a subject and uses thereof - Google Patents

Methods of monitoring glucose levels in a subject and uses thereof Download PDF

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US20020026111A1
US20020026111A1 US09/927,576 US92757601A US2002026111A1 US 20020026111 A1 US20020026111 A1 US 20020026111A1 US 92757601 A US92757601 A US 92757601A US 2002026111 A1 US2002026111 A1 US 2002026111A1
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glucose
subject
monitoring
concentration
concentrations
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US09/927,576
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Neil Ackerman
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Animas Technologies LLC
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Cygnus Inc
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Priority to PCT/US2001/025153 priority Critical patent/WO2002018936A2/en
Priority to US09/927,576 priority patent/US20020026111A1/en
Assigned to CYGNUS, INC. reassignment CYGNUS, INC. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: ACKERMAN, NEIL
Publication of US20020026111A1 publication Critical patent/US20020026111A1/en
Priority to US10/421,440 priority patent/US6862466B2/en
Priority to US10/982,549 priority patent/US7228163B2/en
Priority to US10/981,940 priority patent/US20050090726A1/en
Assigned to ANIMAS TECHNOLOGIES, LLC reassignment ANIMAS TECHNOLOGIES, LLC ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: CYGNUS, INC.
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/145Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/1486Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using enzyme electrodes, e.g. with immobilised oxidase
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/145Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/14532Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring glucose, e.g. by tissue impedance measurement
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/41Detecting, measuring or recording for evaluating the immune or lymphatic systems
    • A61B5/413Monitoring transplanted tissue or organ, e.g. for possible rejection reactions after a transplant

Definitions

  • the present invention is in the field of medical devices and methods of use thereof. More particularly it relates to methods of using glucose monitoring devices to monitoring glucose amounts and/or concentrations in a subject who is at risk for hypoglycemia, hyperglycemia, or fluctuations toward hypoglycemia and/or hyperglycemia. The methods also include methods of monitoring the effects of one or more pharmaceutical compositions on the levels of glucose in a subject.
  • hypoglycemia is defined as plasma glucose levels below normal.
  • Hypoglycemia can be symptomatic or asymptomatic.
  • subjects suffering from postprandial hypoglycemia generally have symptoms of adrenergic stimulation including diaphoresis, anxiety, irritability, palpitations, tremor, and hunger.
  • symptoms typically occur from about 2 to 4 hours postprandially and tend to occur suddenly with symptoms generally subsiding in about 15 to 20 minutes.
  • hypoglycemia can be caused by release of adrenergic and cholinergic hormones. Postprandial hypoglycemia is often idiopathic, however, it can be caused by early diabetes, alcohol intake, renal failure, and drug treatments. In addition, a category of hypoglycemia exists which is designated as fasting hypoglycemia. Clinically, this form of hypoglycemia may have symptoms of neuroglycopenia including headache, fatigue, and mental dullness. In more severe cases, hypoglycemia can progress to confusion, blurring of vision, seizure, and ultimately loss of consciousness or seizure.
  • Fasting hypoglycemia can occur with a fast of greater than 4 hours, and further can be caused by insulinoma (resulting from self-administered insulin or intake of other hypoglycemic agents, alcohol abuse, liver disease (e.g., decreased gluconeogenesis), pituitary insufficiency, or adrenal insufficiency).
  • insulinoma resulting from self-administered insulin or intake of other hypoglycemic agents, alcohol abuse, liver disease (e.g., decreased gluconeogenesis), pituitary insufficiency, or adrenal insufficiency).
  • Hyperglycemia refers to excessive levels of blood glucose in a subject.
  • hyperglycemia the primary form being diabetes mellitus (DM) which is defined as hyperglycemia secondary to decreased insulin production or an increase in peripheral tissue resistance to the action of insulin.
  • DM diabetes mellitus
  • ketoacidosis a starvation-like state develops resulting in acidosis (typically referred to as diabetic ketoacidosis). Symptoms of ketoacidosis can include rapid respiration, acetone breath, vomiting, dehydration, nausea, abdominal pain and changes in mental stability.
  • the present invention describes methods of monitoring glucose levels and/or concentration in a subject having a disease state or condition which puts the subject at risk for hypoglycemia, hyperglycemia, or fluctuations toward hypoglycemia and/or hyperglycemia (for example, quickly dropping or increasing glucose levels).
  • a wide variety of disease states or conditions benefit from frequent glucose monitoring, such monitoring provides a tool for the subject, and/or healthcare professional, to develop a response or plan to assist with management of the disease state or condition.
  • Methods of monitoring a subject for the effects of at least one non-insulin containing pharmaceutical composition on glucose amount or levels in subjects are also described.
  • the subject being monitored may also be receiving insulin-containing compositions.
  • the invention includes, a method for monitoring an amount or concentration of glucose in a subject having a disease state or condition, the method comprising: extracting glucose from the subject having the disease state or condition into a reservoir to obtain an amount or concentration of glucose in the reservoir, wherein the extracting is carried out using an iontophoresis system comprising first and second iontophoretic electrodes; contacting extracted glucose extracted with glucose oxidase that reacts with glucose to produce hydrogen peroxide; detecting the hydrogen peroxide with a sensor element that reacts electrochemically with the hydrogen peroxide to produce a detectable signal; measuring the signal produced; correlating the measured signal with an amount or concentration of glucose in the subject; and performing the extracting, detecting, and measuring frequently, and performing the correlating at least periodically to monitor glucose amount or concentration in the subject in order to assist in management of the disease state or condition.
  • the methods are helpful to the subject, and/or healthcare professional, to provide responses or plans to assist in the management of a wide variety of disease states and conditions, including, but not limited to, a weight management regime; cancer remission; infection with human immunodeficiency virus (HIV); infection with Candida; long distance driving; organ transplantation; growth hormone therapy; renal failure; infection with malaria; alcoholism; intense exercise; cardiovascular disease; cystic fibrosis; or stroke or ischemia.
  • HIV human immunodeficiency virus
  • Such methods are helpful in assisting in the management of diabetic disease states (e.g., gestational diabetes; fetal or premature-birth neonate (i.e., a neonate born before term) glucose management).
  • the present invention comprises a method for evaluating compliance with a weight management program in a subject.
  • a reference range of glucose amounts or concentrations is determined that correspond to achieving a weight management goal in the subject.
  • Such range of glucose amounts or concentrations typically comprises a high threshold glucose value and a low threshold glucose value.
  • rates of change (or trends) of glucose amounts or concentrations in the subject may be determined.
  • monitoring of glucose amount or concentration in the subject is accomplished by a glucose monitoring method comprising the following. First a sample is extracted from the subject, where the sample comprises glucose. The extraction is carried out, for example, transdermally.
  • the transdermal sampling system is in operative contact with a skin or mucosal surface of the subject, and may be maintained in contact to obtain a series of samples, for example, the extracting is carried out using an iontophoretic system comprising first and second iontophoretic electrodes.
  • the extracted sample is contacted with a sensor element, for example, in the presence of glucose oxidase that reacts with glucose to produce hydrogen peroxide.
  • the hydrogen peroxide is detected by the sensor element, for example, by an electrochemical reaction between the sensor element and the hydrogen peroxide, thus a detectable signal is produced.
  • the detectable signal is specifically related to glucose amount or concentration in the subject.
  • the detectable signal is measured and correlated with an amount or concentration of glucose in the subject.
  • the glucose monitoring method is typically repeated to obtain a series of glucose amounts or concentrations, in the subject, at selected time intervals. Glucose monitoring is usually carried out frequently and periodically. Exemplary devices for use in glucose monitoring are described herein.
  • the glucose monitoring device used in the method of the present invention may have alert means, where an alert is provided to the subject (for example, an auditory alert) when glucose levels exceed the predetermined threshold values, when glucose levels change at a rate faster than a predetermined rate of change, or when a predicted glucose value for a later time point falls outside of the predetermined range.
  • the subject typically maintains a record of caloric intake.
  • Such a record may be inputted into the glucose monitoring device itself, or a related device (such as a personal digital assistant, where, for example, the personal digital assistant is operatively connected, at least periodically, with the record of glucose values obtained by the glucose monitoring device). Alternately, such a record may be manually maintained. In addition to caloric intake, caloric output may be recorded as well. This record is then compared to the series of glucose amounts or concentrations and the predetermined reference ranges to evaluate compliance with the reference range of glucose amounts or concentrations to achieve the weight management goal of the subject.
  • the weight management goal may be weight gain in the subject, weight reduction in the subject, and weight maintenance in the subject.
  • a further aspect of the present invention comprises a method for monitoring an effect of at least one non-insulin-containing pharmaceutical composition on glucose levels in a subject receiving the pharmaceutical composition.
  • glucose monitoring in the subject may be carried out by the method described above.
  • a record is maintained of treatment with the pharmaceutical composition.
  • the series of glucose amounts or concentrations and the record are compared to evaluate the effect of the pharmaceutical composition on glucose levels in the subject receiving the pharmaceutical composition.
  • a reference range of glucose amounts or concentrations is typically determined that corresponds to maintaining a desired range of glucose amounts or concentrations in the subject during a treatment course with the pharmaceutical composition.
  • the reference range comprises, for example, a high threshold glucose value, a low threshold glucose value, a predetermined rate of change (e.g., glucose levels change at a rate faster than a predetermined rate of change), and/or a predicted glucose value for a later time point.
  • the glucose monitoring device may provide an alert corresponding to threshold values, rate changes, a predicted glucose value that falls outside of the predetermined range, etc.
  • Such glucose monitoring is useful when any one or more of a number of pharmaceutical compositions are being used to treat a subject.
  • Exemplary pharmaceutical compositions are described herein and include, but are not limited to, pentamidine, quinine, saquinavir, and/or indomethacin.
  • the subject may also be receiving insulin, or another pharmaceutical directly targeted to maintenance of glucose levels in the subject.
  • Another aspect of the present invention relates to a method for improving prognosis and/or reduction of adverse side-effects associated with a disease state or condition in a subject.
  • a reference range of glucose amounts or concentrations is determined that corresponds to achieving an improved prognosis or reduction of adverse side-effects associated with the disease state or condition in the subject.
  • the reference range comprises, for example, a high threshold glucose value, a low threshold glucose value, a predetermined rate of change (e.g., glucose levels change at a rate faster than a predetermined rate of change), and/or a predicted glucose value for a later time point.
  • the glucose monitoring device may provide an alert corresponding to threshold values, rate changes, a predicted glucose value that falls outside of the predetermined range, etc.
  • the series of glucose amounts or concentrations and the reference range are compared to evaluate compliance with the reference range of glucose amounts or concentrations to achieve an improved prognosis or reduction of adverse side-effects associated with the disease state or condition in the subject.
  • the disease state or condition is not type I or type II diabetes.
  • Exemplary disease states or conditions include, but are not limited to, cancer remission, infection with human immunodeficiency virus (HIV), infection with Candida and/or other systemic pathogens, long distance driving, organ transplantation, growth hormone therapy, renal failure, infection with malaria, alcoholism, intense exercise or training, cardiovascular disease, cystic fibrosis, stroke or ischemia, and/or an eating disorder.
  • HAV human immunodeficiency virus
  • FIG. 1 presents a schematic of an exploded view of exemplary components comprising one embodiment of an AutoSensor for use in an analyte monitoring system.
  • microprocessor refers to a computer processor contained on an integrated circuit chip, such a processor may also include memory and associated circuits.
  • a microprocessor may further comprise programmed instructions to execute or control selected functions, computational methods, switching, etc.
  • Microprocessors and associated devices are commercially available from a number of sources, including, but not limited to, Cypress Semiconductor Corporation, San Jose, Calif.; IBM Corporation, White Plains, N.Y.; Applied Microsystems Corporation, Redmond, Wash.; Intel Corporation, Chandler, Ariz.; and, National Semiconductor, Santa Clara, Calif.
  • analyte and target analyte are used to denote any physiological analyte of interest that is a specific substance or component that is being detected and/or measured in a chemical, physical, enzymatic, or optical analysis.
  • a detectable signal e.g., a chemical signal or electrochemical signal
  • the terms “analyte” and “substance” are used interchangeably herein, and are intended to have the same meaning, and thus encompass any substance of interest.
  • the analyte is a physiological analyte of interest, for example, glucose, or a chemical that has a physiological action, for example, a drug or pharmacological agent.
  • a “sampling device,” “sampling mechanism” or “sampling system” refers to any device and/or associated method for obtaining a sample from a biological system for the purpose of determining the concentration of an analyte of interest.
  • biological systems include any biological system from which the analyte of interest can be extracted, including, but not limited to, blood, interstitial fluid, perspiration and tears.
  • a “biological system” includes both living and artificially maintained systems.
  • the term “sampling” mechanism refers to extraction of a substance from the biological system, generally across a membrane such as the stratum corneum or mucosal membranes, wherein said sampling is invasive, minimally invasive, semi-invasive or non-invasive.
  • the membrane can be natural or artificial, and can be of plant or animal nature, such as natural or artificial skin, blood vessel tissue, intestinal tissue, and the like.
  • the sampling mechanism is in operative contact with a “reservoir,” or “collection reservoir,” wherein the sampling mechanism is used for extracting the analyte from the biological system into the reservoir to obtain the analyte in the reservoir.
  • sampling techniques include iontophoresis, sonophoresis (see, e.g., International Publication No. WO 91/12772, published Sep. 5, 1991; U.S. Pat. No.
  • Iontophoretic sampling devices are described, for example, in International Publication No. WO 97/24059, published Jul. 10, 1997; European Patent Application EP 0942 278, published Sep. 15, 1999; International Publication No. WO 96/00110, published Jan. 4, 1996; International Publication No. WO 97/10499, published Mar. 2, 1997; U.S. Pat. Nos.
  • a polymeric membrane may be used at, for example, the electrode surface to block or inhibit access of interfering species to the reactive surface of the electrode.
  • physiological fluid refers to any desired fluid to be sampled, and includes, but is not limited to, blood, cerebrospinal fluid, interstitial fluid, semen, sweat, saliva, urine and the like.
  • artificial membrane or “artificial surface,” refers to, for example, a polymeric membrane, or an aggregation of cells of monolayer thickness or greater which are grown or cultured in vivo or in vitro, wherein said membrane or surface functions as a tissue of an organism but is not actually derived, or excised, from a pre-existing source or host.
  • a “monitoring system” or “analyte monitoring device” refer to a system useful for obtaining frequent measurements of a physiological analyte present in a biological system. Such a device is useful, for example, for monitoring the amount or concentration of an analyte in a subject.
  • a system may comprise, but is not limited to, a sampling mechanism, a sensing mechanism, and a microprocessor mechanism in operative communication with the sampling mechanism and the sensing mechanism.
  • Such a device typically provides frequent measurement or determination of analyte amount or concentration in the subject and provides an alert or alerts when levels of the analyte being monitored fall outside of a predetermined range.
  • Such devices may comprise durable and consumable (or disposable) elements.
  • glucose monitoring device refers to a device for monitoring the amount or concentration of glucose in a subject. Such a device typically provides a frequent measurement or determination of glucose amount or concentration in the subject and provides an alert or alerts when glucose levels fall outside of a predetermined range.
  • GlucoWatch® Cygnus, Inc., Redwood City, Calif., US
  • the GlucoWatch biographer comprises two primary elements, a durable element (comprising a watch-type housing, circuitry, display element, microprocessor element, electrical connector elements, and may further comprise a power supply) and a consumable, or disposable, element (e.g., an AutoSensor component involved in sampling and signal detection, see, for example, WO 99/58190, published Nov. 18, 1999).
  • a durable element comprising a watch-type housing, circuitry, display element, microprocessor element, electrical connector elements, and may further comprise a power supply
  • a consumable, or disposable, element e.g., an AutoSensor component involved in sampling and signal detection, see, for example, WO 99/58190, published Nov. 18, 1999.
  • the GlucoWatch biographer when the concentration or amount of glucose has been determined to be outside of a predetermined range of values (or monitored glucose in the subject falls too quickly) the GlucoWatch biographer produces an alert or alarm signal. Such an alert or alarm is a component of the GlucoWatch biographer.
  • a “measurement cycle” typically comprises extraction of an analyte from a subject, using, for example, a sampling device, and sensing of the extracted analyte, for example, using a sensing device, to provide a measured signal, for example, a measured signal response curve.
  • a complete measurement cycle may comprise one or more sets of extraction and sensing.
  • the term “frequent measurement” refers to a series of two or more measurements obtained from a particular biological system, which measurements are obtained using a single device maintained in operative contact with the biological system over a time period in which a series of measurements (e.g., second, minute or hour intervals) is obtained.
  • the term thus includes continual and continuous measurements.
  • subject encompasses any warm-blooded animal, particularly including a member of the class Mammalia such as, without limitation, humans and nonhuman primates such as chimpanzees and other apes and monkey species; farm animals such as cattle, sheep, pigs, goats and horses; domestic mammals such as dogs and cats; laboratory animals including rodents such as mice, rats and guinea pigs, and the like.
  • the term does not denote a particular age or sex and, thus, includes adult and newborn subjects, whether male or female.
  • transdermal includes both transdermal and transmucosal techniques, i.e., extraction of a target analyte across skin, e.g., stratum corneum, or mucosal tissue. Aspects of the invention which are described herein in the context of“transdermal,” unless otherwise specified, are meant to apply to both transdermal and transmucosal techniques.
  • transdermal extraction refers to any sampling method, which entails extracting and/or transporting an analyte from beneath a tissue surface across skin or mucosal tissue.
  • the term thus includes extraction of an analyte using, for example, iontophoresis (reverse iontophoresis), electroosmosis, sonophoresis, microdialysis, suction, and passive diffusion.
  • iontophoresis reverse iontophoresis
  • electroosmosis electroosmosis
  • sonophoresis electroosmosis
  • microdialysis suction
  • passive diffusion passive diffusion.
  • transdermally extracted also encompasses extraction techniques which employ thermal poration, laser microporation, electroporation, microfine lances, micro fine cannulas, subcutaneous implants or insertions, combinations thereof, and the like.
  • iontophoresis refers to a method for transporting substances across tissue by way of an application of electrical energy to the tissue.
  • a reservoir is provided at the tissue surface to serve as a container of (or to provide containment for) material to be transported.
  • Iontophoresis can be carried out using standard methods known to those of skill in the art, for example by establishing an electrical potential using a direct current (DC) between fixed anode and cathode “iontophoretic electrodes,” alternating a direct current between anode and cathode iontophoretic electrodes, or using a more complex waveform such as applying a current with alternating polarity (AP) between iontophoretic electrodes (so that each electrode is alternately an anode or a cathode).
  • DC direct current
  • AP alternating polarity
  • reverse iontophoresis refers to the movement of a substance from a biological fluid across a membrane by way of an applied electric potential or current.
  • a reservoir is provided at the tissue surface to receive the extracted material, as used in the GlucoWatch biographer glucose monitor (Cygnus, Inc., Redwood City, Calif.; see, e.g., Tamada et al. (1999) JAMA 282:1839-1844).
  • Electroosmosis refers to the movement of a substance through a membrane by way of an electric field-induced convective flow.
  • the terms iontophoresis, reverse iontophoresis, and electroosmosis will be used interchangeably herein to refer to movement of any ionically charged or uncharged substance across a membrane (e.g., an epithelial membrane) upon application of an electric potential to the membrane through an ionically conductive medium.
  • sensing device encompasses any device that can be used to measure the concentration or amount of an analyte, or derivative thereof, of interest.
  • Preferred sensing devices for detecting blood analytes generally include electrochemical devices, optical and chemical devices and combinations thereof.
  • electrochemical devices include the Clark electrode system (see, e.g., Updike, et al., (1967) Nature 214:986-988), and other amperometric, coulometric, or potentiometric electrochemical devices, as well as, optical methods, for example UV detection or infrared detection (e.g., U.S. Pat. No. 5,747,806).
  • a “biosensor” or “biosensor device” includes, but is not limited to, a “sensor element” that includes, but is not limited to, a “biosensor electrode” or “sensing electrode” or “working electrode” which refers to the electrode that is monitored to determine the amount of electrical signal at a point in time or over a given time period, which signal is then correlated with the concentration of a chemical compound.
  • the sensing electrode comprises a reactive surface which converts the analyte, or a derivative thereof, to electrical signal.
  • the reactive surface can be comprised of any electrically conductive material such as, but not limited to, platinum-group metals (including, platinum, palladium, rhodium, ruthenium, osmium, and iridium), nickel, copper, and silver, as well as, oxides, and dioxides, thereof, and combinations or alloys of the foregoing, which may include carbon as well.
  • platinum-group metals including, platinum, palladium, rhodium, ruthenium, osmium, and iridium
  • nickel, copper, and silver as well as, oxides, and dioxides, thereof, and combinations or alloys of the foregoing, which may include carbon as well.
  • the “sensor element” can include components in addition to the sensing electrode, for example, it can include a “reference electrode” and a “counter electrode.”
  • the term “reference electrode” is used to mean an electrode that provides a reference potential, e.g., a potential can be established between a reference electrode and a working electrode.
  • the term “counter electrode” is used to mean an electrode in an electrochemical circuit that acts as a current source or sink to complete the electrochemical circuit. Although it is not essential that a counter electrode be employed where a reference electrode is included in the circuit and the electrode is capable of performing the function of a counter electrode, it is preferred to have separate counter and reference electrodes because the reference potential provided by the reference electrode is most stable when it is at equilibrium. If the reference electrode is required to act further as a counter electrode, the current flowing through the reference electrode may disturb this equilibrium. Consequently, separate electrodes functioning as counter and reference electrodes are preferred.
  • the “counter electrode” of the “sensor element” comprises a “bimodal electrode.”
  • the term “bimodal electrode” typically refers to an electrode which is capable of functioning non-simultaneously as, for example, both the counter electrode (of the “sensor element”) and the iontophoretic electrode (of the “sampling mechanism”) as described, for example, U.S. Pat. No. 5,954,685.
  • reactive surface and “reactive face” are used interchangeably herein to mean the surface of the sensing electrode that: (1) is in contact with the surface of an ionically conductive material which contains an analyte or through which an analyte, or a derivative thereof, flows from a source thereof; (2) is comprised of a catalytic material (e.g., a platinum group metal, platinum, palladium, rhodium, ruthenium, or nickel and/or oxides, dioxides and combinations or alloys thereof) or a material that provides sites for electrochemical reaction; (3) converts a chemical signal (for example, hydrogen peroxide) into an electrical signal (e.g., an electrical current); and (4) defines the electrode surface area that, when composed of a reactive material, is sufficient to drive the electrochemical reaction at a rate sufficient to generate a detectable, reproducibly measurable, electrical signal that is correlatable with the amount of analyte present in the electrolyte.
  • a catalytic material e.g.,
  • An “ionically conductive material” refers to any material that provides ionic conductivity, and through which electrochemically active species can diffuse.
  • the ionically conductive material can be, for example, a solid, liquid, or semi-solid (e.g., in the form of a gel) material that contains an electrolyte, which can be composed primarily of water and ions (e.g., sodium chloride), and generally comprises 50% or more water by weight.
  • the material can be in the form of a hydrogel, a sponge or pad (e.g., soaked with an electrolytic solution), or any other material that can contain an electrolyte and allow passage of electrochemically active species, especially the analyte of interest.
  • the ionically conductive material may comprise a biocide.
  • one or more biocides may be incorporated into the ionically conductive material.
  • Biocides of interest include, but are not limited to, compounds such as chlorinated hydrocarbons; organometallics; hydrogen releasing compounds; metallic salts; organic sulfur compounds; phenolic compounds (including, but not limited to, a variety of Nipa Hardwicke Inc.
  • liquid preservatives registered under the trade names Nipastat®, Nipaguard®, Phenosept®, Phenonip®, Phenoxetol®, and Nipacide®; quaternary ammonium compounds; surfactants and other membrane-disrupting agents (including, but not limited to, undecylenic acid and its salts), combinations thereof, and the like.
  • buffer refers to one or more components which are added to a composition in order to adjust or maintain the pH of the composition.
  • electrolyte refers to a component of the ionically conductive medium which allows an ionic current to flow within the medium.
  • This component of the ionically conductive medium can be one or more salts or buffer components, but is not limited to these materials.
  • the term “collection reservoir” is used to describe any suitable containment method or device for containing a sample extracted from a biological system.
  • the collection reservoir can be a receptacle containing a material which is ionically conductive (e.g., water with ions therein), or alternatively it can be a material, such as a sponge-like material or hydrophilic polymer, used to keep the water in place.
  • a material which is ionically conductive e.g., water with ions therein
  • Such collection reservoirs can be in the form of a hydrogel (for example, in the shape of a disk or pad).
  • Hydrogels are typically referred to as “collection inserts.”
  • Other suitable collection reservoirs include, but are not limited to, tubes, vials, strips, capillary collection devices, cannulas, and miniaturized etched, ablated or molded flow paths.
  • a “collection insert layer” is a layer of an assembly or laminate comprising a collection reservoir (or collection insert) located, for example, between a mask layer and a retaining layer.
  • a “laminate” refers to structures comprised of, at least, two bonded layers.
  • the layers may be bonded by welding or through the use of adhesives.
  • welding include, but are not limited to, the following: ultrasonic welding, heat bonding, and inductively coupled localized heating followed by localized flow.
  • common adhesives include, but are not limited to, chemical compounds such as, cyanoacrylate adhesives, and epoxies, as well as adhesives having such physical attributes as, but not limited to, the following: pressure sensitive adhesives, thermoset adhesives, contact adhesives, and heat sensitive adhesives.
  • a “collection assembly” refers to structures comprised of several layers, where the assembly includes at least one collection insert layer, for example a hydrogel.
  • An example of a collection assembly as referred to in the present invention is a mask layer, collection insert layer, and a retaining layer where the layers are held in appropriate functional relationship to each other but are not necessarily a laminate (i.e., the layers may not be bonded together. The layers may, for example, be held together by interlocking geometry or friction).
  • mask layer refers to a component of a collection assembly that is substantially planar and typically contacts both the biological system and the collection insert layer. See, for example, U.S. Pat. Nos. 5,735,273, 5,827,183, and 6,201,979, all herein incorporated by reference.
  • gel retaining layer or “gel retainer” refers to a component of a collection assembly that is substantially planar and typically contacts both the collection insert layer and the electrode assembly.
  • support tray typically refers to a rigid, substantially planar platform and is used to support and/or align the electrode assembly and the collection assembly.
  • the support tray provides one way of placing the electrode assembly and the collection assembly into the sampling system.
  • An “AutoSensor assembly” refers to a structure generally comprising a mask layer, collection insert layer, a gel retaining layer, an electrode assembly, and a support tray.
  • the AutoSensor assembly may also include liners where the layers are held in approximate, functional relationship to each other. Exemplary collection assemblies and AutoSensor structures are described, for example, in International Publication WO 99/58190, published Nov. 18, 1999; and U.S. Pat. Nos. 5,735,273 and 5,827,183.
  • the mask and retaining layers are preferably composed of materials that are substantially impermeable to the analyte (chemical signal) to be detected; however, the material can be permeable to other substances.
  • substantially impermeable is meant that the material reduces or eliminates chemical signal transport (e.g., by diffusion).
  • the material can allow for a low level of chemical signal transport, with the proviso that chemical signal passing through the material does not cause significant edge effects at the sensing electrode.
  • numeric value refers to that numeric value plus or minus 10 units of measure (i.e. percent, grams, degrees or volts), preferably plus or minus 5 units of measure, more preferably plus or minus 2 units of measure, most preferably plus or minus 1 unit of measure.
  • printed is meant a substantially uniform deposition of an electrode formulation onto one surface of a substrate (i.e., the base support). It will be appreciated by those skilled in the art that a variety of techniques may be used to effect substantially uniform deposition of a material onto a substrate, e.g., Gravure-type printing, extrusion coating, screen coating, spraying, painting, electroplating, laminating, or the like.
  • physiological effect encompasses effects produced in the subject that achieve the intended purpose of a therapy.
  • a physiological effect means that the symptoms of the subject being treated are prevented or alleviated.
  • a physiological effect would be one that results in the prolongation of survival in a patient.
  • “Parameter” refers to an arbitrary constant or variable so appearing in a mathematical expression that changing it give various cases of the phenomenon represented (McGraw-Hill Dictionary of Scientific and Technical Terms, S. P. Parker, ed., Fifth Edition, McGraw-Hill Inc., 1994).
  • a parameter is a variable that influences the value of the blood glucose level as calculated by an algorithm.
  • “Decay” refers to a gradual reduction in the magnitude of a quantity, for example, a current detected using a sensor electrode where the current is correlated to the concentration of a particular analyte and where the detected current gradually reduces but the concentration of the analyte does not.
  • disease state refers to any physiological or environmental state about which a subject has concern.
  • exemplary disease states and conditions are described extensively herein, for example hypogylcemia, hyperglycemia, cardiovascular disease, cystic fibrosis, gestational diabetes, weight management regime, cancer remission, Candida infection, human immunodeficiency virus (HIV) infection, long distance driving, organ transplants recipients, subjects receiving growth hormone therapy, renal failure patients, malaria infection, alcoholism, etc.
  • HIV human immunodeficiency virus
  • the monitoring system used to monitor the level of a selected analyte in a target system comprises a sampling device, which provides a sample comprising the analyte, and a sensing device, which detects the amount or concentration of the analyte or a signal associated with the analyte amount or concentration in the sample.
  • One exemplary monitoring system (the GlucoWatch biographer) is described herein for monitoring glucose levels in a biological system via the transdermal extraction of glucose from the biological system, particularly an animal subject, and then detection of signal corresponding to the amount or concentration of the extracted glucose.
  • Transdermal extraction is carried out by applying an electrical current or ultrasonic radiation to a tissue surface at a collection site.
  • the electrical current is used to extract small amounts of glucose from the subject into a collection reservoir.
  • the collection reservoir is in contact with a sensor element (e.g., a biosensor) which provides for measurement of glucose concentration in the subject.
  • a sensor element e.g., a biosensor
  • the presence of hydrogen peroxide generates a current at the biosensor electrode that is directly proportional to the amount of hydrogen peroxide in the reservoir.
  • This current provides a signal which can be detected and interpreted (for example, employing a selected algorithm) by an associated system controller to provide a glucose concentration value or amount for display.
  • a collection reservoir is contacted with a tissue surface, for example, on the stratum corneum of a subject's skin.
  • An electrical current is then applied to the tissue surface in order to extract glucose from the tissue into the collection reservoir. Extraction is carried out, for example, frequently over a selected period of time.
  • the collection reservoir is analyzed, at least periodically and typically frequently, to measure glucose concentration therein. The measured value correlates with the subject's blood glucose level.
  • one or more collection reservoirs are placed in contact with a tissue surface on a subject.
  • the ionically conductive material within the collection reservoir is also in contact with an electrode (for reverse iontophoretic extraction) which generates a current sufficient to extract glucose from the tissue into the collection reservoir.
  • an electrode for reverse iontophoretic extraction
  • FIG. 1 an exploded view of exemplary components comprising one embodiment of an AutoSensor for use in an iontophoretic sampling system is presented.
  • the AutoSensor components include two biosensor/iontophoretic electrode assemblies, 104 and 106 , each of which have an annular iontophoretic electrode, respectively indicated at 108 and 110 , which encircles a biosensor electrode 112 and 114 .
  • the electrode assemblies 104 and 106 are printed onto a polymeric substrate 116 which is maintained within a sensor tray 118 .
  • a collection reservoir assembly 120 is arranged over the electrode assemblies, wherein the collection reservoir assembly comprises two hydrogel inserts 122 and 124 retained by a gel retaining layer 126 and mask layer 128 . Further release liners may be included in the assembly, for example, a patient liner 130 , and a plow-fold liner 132 .
  • the electrode assemblies include bimodal electrodes.
  • a mask layer 128 (for example, as described in PCT Publication No. WO 97/10356, published Mar. 20, 1997, and U.S. Pat. Nos.
  • the mask and retaining layers are preferably composed of materials that are substantially impermeable to the analyte (e.g., glucose) to be detected (see, for example, U.S. Pat. Nos. 5,735,273, and 5,827,183, both herein incorporated by reference).
  • substantially impermeable is meant that the material reduces or eliminates analyte transport (e.g., by diffusion).
  • the material can allow for a low level of analyte transport, with the proviso that the analyte that passes through the material does not cause significant edge effects at the sensing electrode used in conjunction with the mask and retaining layers.
  • materials that can be used to form the layers include, but are not limited to, polyester, polyester derivatives, other polyester-like materials, polyurethane, polyurethane derivatives and other polyurethane-like materials.
  • the components shown in exploded view in FIG. 1 are intended for use in a automatic sampling system which is configured to be worn like an ordinary wristwatch, as described, for example, in PCT Publication No. WO 96/00110, published Jan. 4, 1996, herein incorporated by reference.
  • the AutoSensor in this case is a consumable element.
  • a durable element that is the wristwatch housing into which the AutoSensor is inserted, is also provided.
  • the durable element can further include suitable electronics (e.g., one or more microprocessor(s), memory, display and other circuit components) and power sources, for example, for operating the automatic sampling system.
  • the durable element also provides means to provide an audible alert when glucose levels in a subject being monitored are outside of a predetermined range. Further, such a device may also provide an audible alert when a trend is identified (for example, using an algorithm, e.g., U.S. Pat. No. 6,233,471, issued May 15, 2001) that indicates that glucose levels are dropping too quickly or increasing too quickly. For example, the GlucoWatch biographer provides an alert when glucose levels are falling faster than a predetermined rate.
  • the one or more microprocessors may control a variety of functions, including, but not limited to, control of a sampling device, a sensing device, aspects of the measurement cycle (for example, timing of sampling and sensing, and alternating polarity between electrodes), connectivity, computational methods, different aspects of data manipulation (for example, acquisition, recording, recalling, comparing, and reporting), etc.
  • the sensing electrode can be, for example, a Pt-comprising electrode configured to provide a geometric surface area of about 0.1 to 3 cm 2 , preferably about 0.5 to 2 cm 2 , and more preferably about 1 cm 2 .
  • This particular configuration is scaled in proportion to the collection area of the collection reservoir used in the sampling system of the present invention, throughout which the extracted analyte and/or its reaction products will be present.
  • the electrode composition is formulated using analytical- or electronic-grade reagents and solvents which ensure that electrochemical and/or other residual contaminants are avoided in the final composition, significantly reducing the background noise inherent in the resultant electrode.
  • the reagents and solvents used in the formulation of the electrode are selected so as to be substantially free of electrochemically active contaminants (e.g., anti-oxidants), and the solvents in particular are selected for high volatility in order to reduce washing and cure times.
  • electrochemically active contaminants e.g., anti-oxidants
  • solvents in particular are selected for high volatility in order to reduce washing and cure times.
  • the reactive surface of the sensing electrode can be comprised of any electrically conductive material such as, but not limited to, platinum-group metals (including, platinum, palladium, rhodium, ruthenium, osmium, and iridium), nickel, copper, silver, and carbon, as well as, oxides, dioxides, combinations or alloys thereof.
  • platinum-group metals including, platinum, palladium, rhodium, ruthenium, osmium, and iridium
  • nickel copper
  • silver and carbon
  • oxides, dioxides, combinations or alloys thereof oxides, dioxides, combinations or alloys thereof.
  • any suitable iontophoretic electrode system can be employed, an exemplary system uses a silver/silver chloride (Ag/AgCl) electrode system.
  • the iontophoretic electrodes are formulated typically using two performance criteria: (1) the electrodes are capable of operation for extended periods, preferably periods of up to 24 hours or longer; and (2) the electrodes are formulated to have high electrochemical purity in order to operate within the present system which requires extremely low background noise levels.
  • the electrodes must also be capable of passing a large amount of charge over the life of the electrodes.
  • Ag/AgCl electrodes are capable of repeatedly forming a reversible couple which operates without unwanted electrochemical side reactions (which could give rise to changes in pH, and liberation of hydrogen and oxygen due to water hydrolysis).
  • the Ag/AgCl electrode is thus formulated to withstand repeated cycles of current passage in the range of about 0.01 to 1.0 mA per cm 2 of electrode area.
  • the Ag/AgCl components are dispersed within a suitable polymer binder to provide an electrode composition which is not susceptible to attack (e.g., plasticization) by components in the collection reservoir, e.g., the hydrogel composition.
  • the electrode compositions are also typically formulated using analytical- or electronic-grade reagents and solvents, and the polymer binder composition is selected to be free of electrochemically active contaminants which could diffuse to the biosensor to produce a background current.
  • the automatic sampling system can transdermally extract the sample over the course of a selected period of time using reverse iontophoresis.
  • the collection reservoir comprises an ionically conductive medium, preferably the hydrogel medium described hereinabove.
  • a first iontophoresis electrode is contacted with the collection reservoir (which is typically in contact with a target, subject tissue surface), and a second iontophoresis electrode is contacted with either a second collection reservoir in contact with the tissue surface, or some other ionically conductive medium in contact with the tissue.
  • a power source provides an electrical potential between the two electrodes to perform reverse iontophoresis in a manner known in the art.
  • the biosensor selected to detect the presence, and possibly the level, of the target analyte (for example, glucose) within a reservoir is also in contact with the reservoir.
  • the target analyte for example, glucose
  • the iontophoretic electrode may be a bimodal electrode that also serves, non-concurrently, as a counter electrode to the sensing electrode (see, for example, U.S. Pat. No. 5,954,685, herein incorporated by reference).
  • an electric potential (either direct current or a more complex waveform) is applied between the two iontophoresis electrodes such that current flows from the first electrode through the first conductive medium into the skin, and back out from the skin through the second conductive medium to the second electrode.
  • This current flow extracts substances through the skin into the one or more collection reservoirs through the process of reverse iontophoresis or electroosmosis.
  • the electric potential may be applied as described in PCT Publication No. WO 96/00110, published Jan. 4, 1996, herein incorporated by reference.
  • the electrical potential is alternated between two reservoirs to provide extraction of analyte into each reservoir in an alternating fashion (see, for example, U.S. Pat. Nos. 6,023,629, 5,954,685, both herein incorporated by reference).
  • Analyte is also typically detected in each reservoir.
  • the applied electrical current density on the skin or tissue can be in the range of about 0.01 to about 2 mA/cm 2 .
  • electrical energy can be applied to the electrodes, and the polarity of the electrodes can be, for example, alternated so that each electrode is alternately a cathode or an anode.
  • the polarity switching can be manual or automatic.
  • a device and method for sampling of substances using alternating polarity is described in U.S. Pat. No. 5,771,890, issued Jun. 30, 1998,herein incorporated by reference.
  • a power source provides a current flow to the first bimodal electrode to facilitate the extraction of the chemical signal into the reservoir.
  • a separate power source is used to provide voltage to the first sensing electrode to drive the conversion of chemical signal retained in reservoir to electrical signal at the catalytic face of the sensing electrode.
  • the separate power source also maintains a fixed potential at the electrode where, for example hydrogen peroxide is converted to molecular oxygen, hydrogen ions, and electrons, which is compared with the potential of the reference electrode during the sensing phase. While one sensing electrode is operating in the sensing mode it is electrically connected to the adjacent bimodal electrode which acts as a counter electrode at which electrons generated at the sensing electrode are consumed.
  • the electrode subassembly can be operated by electrically connecting the bimodal electrodes such that each electrode is capable of functioning as both an iontophoretic electrode and counter electrode along with appropriate sensing electrode(s) and reference electrode(s).
  • a potentiostat is an electrical circuit used in electrochemical measurements in three electrode electrochemical cells.
  • a potential is applied between the reference electrode and the sensing electrode.
  • the current generated at the sensing electrode flows through circuitry to the counter electrode (i.e., no current flows through the reference electrode to alter its equilibrium potential).
  • Two independent potentiostat circuits can be used to operate the two biosensors.
  • the electrical current measured at the sensing electrode subassembly is the current that is correlated with an amount of chemical signal corresponding to the analyte.
  • the detected current can be correlated with the subject's blood glucose concentration (e.g., using a statistical technique or algorithm or combination of techniques) so that the system controller may display the subject's actual blood glucose concentration as measured by the sampling system.
  • a statistical technique or algorithm or combination of techniques can be formulated as algorithm(s) and incorporated in one or more microprocessor(s) associated with the sampling system.
  • Exemplary signal processing applications include, but are not limited to, those taught in the following U.S. Pat. Nos. 6,144,869, 6,233,471, 6,180,416, herein incorporated by reference.
  • the sampling/sensing mechanism and user interface may be found on separate components.
  • the monitoring system can comprise at least two components, in which a first component comprises sampling mechanism and sensing mechanism that are used to extract and detect an analyte, for example, glucose, and a second component that receives the analyte data from the first component, conducts data processing on the analyte data to determine an analyte concentration and then displays the analyte concentration data.
  • microprocessor functions e.g., control of a sampling device, a sensing device, aspects of the measurement cycle, computational methods, different aspects of data manipulation or recording, etc. are found in both components.
  • microprocessing components may be located in one or the other of the at least two components.
  • the second component of the monitoring system can assume many forms, including, but not limited to, the following: a watch, a credit card-shaped device (e.g., a “smart card” or “universal card” having a built-in microprocessor as described for example in U.S. Pat. No. 5,892,661, herein incorporated by reference), a pager-like device, cell phone-like device, or other such device that communicates information to the user visually, audibly, or kinesthetically.
  • a watch e.g., a “smart card” or “universal card” having a built-in microprocessor as described for example in U.S. Pat. No. 5,892,661, herein incorporated by reference
  • a pager-like device e.g., a “smart card” or “universal card” having a built-in microprocessor as described for example in U.S. Pat. No
  • a delivery unit is included in the system.
  • An exemplary delivery unit is an insulin delivery unit. Insulin delivery units, both implantable and external, are known in the art and described, for example, in U.S. Pat. Nos. 5,995,860; 5,112,614 and 5,062,841, herein incorporated by reference.
  • the delivery unit when included as a component of the present invention, is in communication (e.g., wire-like or wireless communication) with the extracting and/or sensing mechanism such that the sensing mechanism can control the insulin pump and regulate delivery of a suitable amount of insulin to the subject.
  • the sensing mechanism can control the insulin pump and regulate delivery of a suitable amount of insulin to the subject.
  • Advantages of separating the first component (e.g., including the biosensor and iontophoresis functions) from the second component (e.g., including some microprocessor and display functions) include greater flexibility, discretion, privacy and convenience to the user.
  • Having a small and lightweight measurement unit allows placement of the two components of the system on a wider range of body sites, for example, the first component may be placed on the abdomen or upper arm.
  • This wider range of placement options may improve the accuracy through optimal extraction site selection (e.g., torso rather than extremities) and greater temperature stability (e.g., via the insulating effects of clothing).
  • the collection and sensing assembly will be able to be placed on a greater range of body sites.
  • a smaller and less obtrusive microprocessor and display unit provides a convenient and discrete system by which to monitor analytes.
  • the biosensor readouts and control signals will be relayed via wire-like or wireless technology between the collection and sensing assembly and the display unit which could take the form of a small watch, a pager, or a credit card-sized device.
  • This system also provides the ability to relay an alert message or signal during nighttime use, for example, to a site remote from the subject being monitored.
  • the two components of the device can be in operative communication via a wire or cable-like connection.
  • Operative communications between the components can be wireless link, i.e. provided by a “virtual cable,” for example, a telemetry link.
  • This wireless link can be uni- or bi-directional between the two components.
  • links can be a combination of wire-like and wireless.
  • the analyte can be any one or more specific substance, component, or combinations thereof that one is desirous of detecting and/or measuring in a chemical, physical, enzymatic, or optical analysis.
  • Analytes that can be measured using the methods of the present invention include, but are not limited to, amino acids, enzyme substrates or products indicating a disease state or condition, other markers of disease states or conditions, drugs of abuse (e.g., ethanol, cocaine), therapeutic and/or pharmacologic agents (e.g., theophylline, anti-HIV drugs, lithium, anti-epileptic drugs, cyclosporin, chemotherapeutics), electrolytes, physiological analytes of interest (e.g., urate/uric acid, carbonate, calcium, potassium, sodium, chloride, bicarbonate (CO 2 ), glucose, urea (blood urea nitrogen), lactate and/or lactic acid, hydroxybutyrate, cholesterol, triglycerides, creatine, creatinine, insulin, hematocrit, and hemoglobin), blood gases (carbon dioxide, oxygen, pH), lipids, heavy metals (e.g., lead, copper), and the like.
  • Analytes in non-biological
  • the analyte is a physiological analyte of interest, for example glucose, or a chemical that has a physiological action, for example a drug or pharmacological agent.
  • an enzyme (or enzymes) can be disposed within the one or more collection reservoirs.
  • the selected enzyme is capable of catalyzing a reaction with the extracted analyte to the extent that a product of this reaction can be sensed, e.g., can be detected electrochemically from the generation of a current which current is detectable and proportional to the amount of the analyte which is reacted.
  • a suitable enzyme is glucose oxidase, which oxidizes glucose to gluconic acid and hydrogen peroxide.
  • Glucose oxidase (GOx) is readily available commercially and has well known catalytic characteristics. However, other enzymes can also be used singly (for detection of individual analytes) or together (for detection of multiple analytes), as long as they specifically catalyze a reaction with an analyte or substance of interest to generate a detectable product in proportion to the amount of analyte so reacted.
  • a biosensor electrode that detects hydrogen peroxide can be used to detect ethanol using an alcohol oxidase enzyme system, or similarly uric acid with urate oxidase system, cholesterol with a cholesterol oxidase system, and theophylline with a xanthine oxidase system.
  • the oxidase enzyme (used for hydrogen peroxidase-based detection) can be replaced or complemented with another redox system, for example, the dehydrogenase-enzyme NAD-NADH, which offers a separate route to detecting additional analytes.
  • Dehydrogenase-based sensors can use working electrodes made of gold or carbon (via mediated chemistry). Examples of analytes suitable for this type of monitoring include, but are not limited to, cholesterol, ethanol, hydroxybutyrate, phenylalanine, triglycerides, and urea.
  • the enzyme can be eliminated and detection can rely on direct electrochemical or potentiometric detection of an analyte.
  • analytes include, without limitation, heavy metals (e.g., cobalt, iron, lead, nickel, zinc), oxygen, carbonate/carbon dioxide, chloride, fluoride, lithium, pH, potassium, sodium, and urea.
  • the sampling system described herein can be used for therapeutic drug monitoring, for example, monitoring anti-epileptic drugs (e.g., phenytoin), chemotherapy (e.g., adriamycin), hyperactivity (e.g., ritalin), and anti-organ rejection (e.g., cyclosporin).
  • a sensor electrode is able to detect the analyte that has been extracted into the one or more collection reservoirs when present at nominal concentration levels.
  • Suitable exemplary biosensor electrodes and associated sampling systems as described in are described in PCT Publication Nos. WO 97/10499, published Mar. 20, 1997 and WO 98/42252, published Oct. 1, 1998, both herein incorporated by reference herein.
  • a single sensor may detect multiple analytes and/or reaction products of analytes.
  • a platinum sensor could be used to detect tyrosine and glucose in a single sample.
  • the tyrosine is detected, for example, by direct electrochemical oxidation at a suitable electrode potential (e.g., approximately 0.6V vs. Ag/AgCl).
  • the glucose is detected, e.g., using glucose oxidase and detecting the hydrogen peroxide reaction product.
  • a first gel containing glucose oxidase associated with a first platinum sensor can be used for the detection of glucose
  • a second gel containing uricase associated with a second platinum sensor can be used for the detection of urea.
  • Non-limiting examples of such disease states and conditions that will benefit from frequent monitoring of glucose levels include hyperglycemia; hypoglycemia; cystic fibrosis; AIDS; organic and amino acid disorders; cancer remission; as well as patients with cardiovascular disease; stroke patients; gestational diabetes; organ transplant recipients; those infected with Candida, HIV or malaria; elderly patients; kidney patients; young children; long-distance drivers; intense exercisers; subjects on a weight loss program or other special diet; subjects receiving growth hormone; and alcoholics.
  • monitoring of glucose levels will also be beneficial in determining the effects of one or more pharmaceutical compositions on glucose levels or concentrations in a biological subject. In the present invention, at least one of the pharmaceutical compositions whose effect on glucose levels is monitored does not contain insulin.
  • Hyperglycemia refers to excessive levels of blood glucose in a subject.
  • diabetes mellitus diabetes mellitus
  • IDM insulin-dependent DM
  • Type I DM can result in ketoacidosis when patients are without insulin therapy.
  • NIDDM non-insulin dependent DM
  • Type II DM can also occur in animals, for example, domestic cats. These patients are not prone to ketosis but may develop it under conditions of stress.
  • Gestational onset DM occurs when diabetes onset is during pregnancy and resolves with delivery. These patients are at a higher risk for developing DM at a later date. Secondary DM can be caused, for example, by steroid therapy, Cushing's syndrome, pancreatectomy, pancreatic insufficiency secondary to pancreatitis, or endocrine disorders.
  • the Diabetes Control and Complications Trial Group reported that the long-term complications of DM appear to be directly related to control of blood glucose levels. Thus, the conclusion of the study was that intensive therapy delays the onset and slows the progression of diabetic retinopathy, nephropathy, and neuropathy in patients with IDDM. Other studies have shown the same conclusions in NIDDM. Thus, frequent monitoring of blood glucose levels is an important tool for both diagnosing and determining appropriate therapy for many conditions associated with abnormal glucose levels.
  • Atherosclerotic changes appear to develop in non-diabetic individuals with impaired glucose tolerance (see, e.g., Kawamori, R (1998) Diabetes Res Clin Pract 40 Suppl: S35-S42; Yamasaki Y, Kawamori R et al. (1995) Diabetologia 38(5):585-591).
  • hypertension is also associated with impaired glucose tolerance (Vaccaro et al. (1996) Diabetologia 39:70-76).
  • ACE antigotensis-converting enzyme
  • monitoring and controlling blood glucose levels in individuals with a family or personal history of heart disease allows these subjects to reduce the risk of cardiovascular problems. Further, in certain embodiments, it will also be useful to monitor levels of glucose, cholesterol, triglycerides and/or therapeutic drugs used to treat high cholesterol, hypertension or the like.
  • Impaired glucose tolerance or DM are also frequent complications after organ transplantation, in both human leukocyte antigen (HLA) matched and mismatched patients.
  • HLA human leukocyte antigen
  • liver transplant recipients have been shown to have severe post-prandial hyperglycemia, which may be attributed to insulinpoenia and a late increased glucose turnover (Schneiter et al. (2000) Diabetes Metab 26:51-56; Petruzzo et al. (2000) Diabetes Metab 26:215-218).
  • grafts in the context of grafts, Trick et al. (2000) J Thorac Cardiovasc Surg 119:108-114 report that appropriate control of preoperative blood glucose levels appears to help prevent deep sternal site infection after coronary artery bypass graft operations.
  • blood glucose levels before and after transplant e.g., organ transplant and grafts
  • multiple analytes in these subjects e.g., glucose, an immunosuppressive drug, etc.
  • Diet can also induce hyperglycemia in certain subjects. Diets high in carbohydrates and/or fat have been associated with development of insulin resistance and perturbed carbohydrate and lipid metabolism and leptin has been proposed as a treatment for diet induced hyperglycemia and insulin resistance (Buettner et al. (2000) Am J Physiol Endocrinol Metab 278:E563-9). Thus, in addition to allowing a subject to quickly and easily monitor blood glucose levels, the present invention allows for the monitoring of additional analytes, for example, leptin.
  • the present invention will also find use in evaluating and determining treatment regimes for human immunodeficiency virus (HIV)-infected patients, particularly those patients currently receiving protease inhibitors.
  • HIV human immunodeficiency virus
  • protease inhibitors have proven to be very useful in treating HIV infection in certain patients, these drugs often exhibit glucose-related side effects, including, for example, hyperglycemia, new-onset diabetes mellitus, lipodystrophic syndrome, central obesity, peripheral fat loss, and hyperlipidemia, Scevola et al. (2000) AIDS Read 10:365-369; 371-375; Mathe (1999) Biomed Pharmacother 53:449-451. Accordingly, all patients receiving protease inhibitors should be monitored for blood glucose levels.
  • hyperglycemia is also more common elderly trauma patients and in those elderly patients exhibit hostility, Frankenfield et al. (2000) J Trauma 48:49-56. Thus, is useful to monitor glucose levels in these in elderly patients.
  • Transient hyperglycemia that occurs as a part of the stress response in acute illnesses can cause serious complications in infancy and childhood, Gupta et al. (1997) Indian J Pediatr 64:205-210.
  • non-ketotic hyperglycemia (NKH) in infancy and childhood can cause serious complications, for example, hydrocephalus requiring shunting and subsequent brain damage, Van Hove et al. (2000) Neurol 54:754-756.
  • glucose and, optionally, other analytes, such as ketones
  • Hypoglycemia refers to decreased levels of glucose in plasma, or below normal levels. Although hypoglycemic subjects may be asymptomatic, many exhibit adrenergic stimulation symptoms including diaphoresis, anxiety, irritability, palpitations, tremor, and hunger. Hypoglycemic events may also occur during the night-time (nocturnal hypoglycemia), for example, when a person is sleeping, thus vulnerable to continuing decreases in levels of glucose in plasma. Severe hypoglycemia may cause confusion, visual blurring, loss of consciousness and seizures. Typically, hypoglycemia occurs about 2 to 4 hours postprandially and generally subsides in 15 to 20 minutes.
  • hypoglycemia is often idiopathic, but may be caused by early diabetes, malignancies of the pancreas, benign tumors of the pancreas, general hypertrophy of the pancreas without evident disease, alcohol intake and liver disease (decreased gluconeogenesis), gastrectomy, renal failure, drugs such as salicylates, beta-blockers, pentamidine, acetylcholine esterase (ACE) inhibitors, excess insulin including insulinoma, self-administered insulin or oral hypoglycemic agents; pituitary or adrenal insufficiency.
  • drugs such as salicylates, beta-blockers, pentamidine, acetylcholine esterase (ACE) inhibitors, excess insulin including insulinoma, self-administered insulin or oral hypoglycemic agents; pituitary or adrenal insufficiency.
  • ACE acetylcholine esterase
  • all the endocrine glands are linked in a dynamic balance to compensate for any deviation of blood sugar levels so that the brain and nervous system are never for an instant deprived of necessary amounts of blood sugar needed for their normal activity.
  • This balance is upset by stress and symptoms such as anxiety, irritability, fear, sweating, flushing or pallor, numbness, chills, headaches, dizziness, weakness and faintness are common.
  • stress and symptoms such as anxiety, irritability, fear, sweating, flushing or pallor, numbness, chills, headaches, dizziness, weakness and faintness are common.
  • the most obvious symptoms are excessive hunger just about all the time and great fatigue and weakness.
  • hypoglycemia is an important medical issue and frequent monitoring of glucose levels is useful to a wide variety of subjects.
  • hypoglycemia Because of the correlation between hypoglycemia and hunger, the hypoglycemia that results from purging may be partially responsible for continued binging and purging. Thus, monitoring blood glucose levels in patients with eating disorders can assist therapists in treating them, and can also help patients understand physiological processes that contribute to their problems.
  • Pentamidine is an effective agent for treating Pneumocystis carinii pneumonia in HIV-infected patients, the hemolymphatic stage of Gambian trypanosomiasis, and antimony-resistant leishmaniasis. Iatrogenic hypoglycemia occurs in one-quarter to one-third of HIV-infected patients treated with this drug, and it can become severe and even life-threatening, Andersen et al. (1986) Drug Intell Clin Pharm 20(11): 862-868; Stahl-Bayliss et al. (1986) Clin Pharmacol Ther 3 9 (3): 271-5; Chan et al. (1996) Drug Saf 15(2): 135-157.
  • Glycogen storage diseases are a group of hereditary disorders that result from a lack of at least one enzyme involved in glycogen synthesis or breakdown. The result is accumulation of glycogen in tissues.
  • hypoglycemia can be a severe problem in some of these glycogen storage diseases, for example, Type 0 (enzyme system affected, glycogen synthetase), Type Ia (enzyme system affected, glucose-6-phosphatase), Type Ib (enzyme system affected, glucose-6-phosphatase translocase), Type III (enzyme system affected, debrancher enzyme system), Type VI (enzyme system affected, liver phosphorylase).
  • Patients with glycogen storage disorders must follow strict diets (in order to avoid hypoglycemia and other problems) and must monitor their blood glucose levels (see, Wolfsdorf, et al., above).
  • Hypoglycemia is a common adverse effect of alcoholism, and it occurs in up to 95% of alcoholics, Bunout (1999) Nutrition 15(7-8): 583-589. Hypoglycemia due to excessive alcohol ingestion can be severe, and alcoholics are usually glucose intolerant as well, Kearney et al. (2000) J R Soc Med 93:15-17. This condition is most likely due to an inhibition of glucose-stimulated insulin secretion. Frequent, non-invasive monitoring of blood glucose levels and/or other analytes such as alcohol can treat alcoholics by allowing them to see clinical improvements in their blood sugar levels, or to allow them to see the extent to which alcohol abuse has damaged an important metabolic process.
  • ESRF end stage renal failure
  • hypoglycemia can cause severe problems in infants or children, including for example mild to severe brain damage (Kinnala et al. (2000) Semin Perinatol 24:116-119;Frey et al. (2000) Scweiz Zmed Klischr 130:151-155; Hawdon (1999) Eur J Pediatr 158 Suppl 1:S9-S12; see, also, Section 2.2.3 below). Because hypoglycemia can occur if feeding is postponed more than 12 to 24 hours post-partum, there remains a need for frequent and close clinical observation of neonates and other vulnerable children while avoiding excessively invasive management that may interfere with feeding. Thus, the present invention provides frequent monitoring of glucose levels and, optionally, the levels of other analytes which may signal neonatal distress, such as ketones.
  • GH Growth hormone
  • analytes e.g., glucose and/or growth hormone
  • Severe malaria often presents with hypoglycemia, Agbenyega et al. (2000) J Clin Endorcrinol Metab 85:1569-1576. Furthermore, because hypoglycemia is a frequent complication of quinine therapy for malaria, frequent blood sugar estimations are required in treating malaria or quinine toxicity, Padmaja et al. (1999) Indian J Med Sci 53:153-157. Thus, the ability to monitor glucose and/or quinine levels is useful in relation to diagnosis and treatment of malaria.
  • hypoglycemia is present in many diseases.
  • One cause of hypoglycemia appears to be related to drug therapy, Virally et al. (1999) Diabetes Metab 25:477-490.
  • saquinavir a treatment for HIV, induces hypoglycemia in Type II diabetes (see, Zimhony and Stein (1999) Ann Intern Med 131:980), while indomethacin, a drug used to arteriosus in premature infants, also induces hypoglycemia. Consequently, frequent monitoring of analytes (e.g., glucose and/or the therapeutic drug) in these individuals is part of the present invention.
  • analytes e.g., glucose and/or the therapeutic drug
  • Performance in endurance events requires an adequate supply of nutrients such as glucose.
  • performance is optimized when training includes monitoring of glucose and other analyte levels combined with nutritional supplementation to prevent hypoglycemia, Coyle (1999) J Sci Med Sport 2:181-189.
  • Dysglycemia during pregnancy can cause severe problems for both mother and fetus, see, e.g., Schafer-Graft et al. (1999) Ther Umsch 56:572-576.
  • For diabetic mothers who become pregnant close monitoring and tight control of blood glucose levels during the first 9 weeks of pregnancy helps reduce the incidence of birth defects, Schwartz et al. (2000) Semin Perinatol 24:120-135.
  • the high maternal levels of glucose are able to cross the placenta, which causes the fetus's pancreas to make extra insulin to metabolize the blood sugar and can lead to macrosomia (alternately called a “fat” baby, or a “big bad baby” (BBB)).
  • BBB big bad baby
  • Babies with macrosomia face health problems of their own, including damage to their shoulders during birth; breathing problems and hypoglycemia after birth because of their own increased insulin production, Schwartz et al., above. Further, babies with excess insulin become children who are at risk for obesity and adults who are at risk for type 2 diabetes.
  • blood sugar levels during pregnancy are controlled such that the mother is neither hypoglycemic nor hyperglycemic.
  • Using the methods described herein, which allow for frequent monitoring of blood glucose levels allows for frequent evaluation of blood glucose levels so that the mother can take appropriate action when either hyperglycemia or hypoglycemia are imminent.
  • Obesity is a major health problem in many countries and is associated with an increased risk for heart disease, certain cancers and development of Type II diabetes.
  • CDC's Centers for Disease Control's
  • National Center for Health Statistics 54% of adult Americans and between 11% and 14% of children were overweight in 1997, as determined using the Body Mass Index scale, which defines classes of non-obesity and obesity.
  • individuals whose BMI is greater than 25 kg/m 2 are Grade 1 overweight.
  • Those whose BMI is greater than 30 kg/m 2 are Grade 2 overweight, or obese, and individuals with a BMI greater than 40 kg/m 2 are Grade 3 overweight, or morbidly obese (Kopelman (2000) Nature 404: 635-643).
  • BMI Body Mass Index
  • Obesity is associated with diabetes mellitus, coronary heart disease, certain forms of cancer, and sleep-breathing disorders.
  • Obesity is generally defined by a body-mass index (weight divided by square of the height) of 30 kg/m ⁇ 2 or greater. This degree of obesity takes into account neither the morbidity/mortality associated with more modest degrees of a person (or animal) being overweight, nor the detrimental effect of intra-abdominal fat.
  • impaired glucose tolerance is a clear risk factor for type 2 diabetes.
  • a survey of American adults performed by the World Health Organization found impaired glucose tolerance in 10%-15% of the study populations.
  • weight loss and exercise are part of the recommended standard treatment for patients with impaired glucose tolerance or type 2 diabetes, and the condition can resolve following weight loss.
  • a recent study correlated weight loss in patients with impaired glucose tolerance and determined that weight loss can also prevent type 2 diabetes from developing in the first place (Eriksson J et al. (1999) Diabetologia 42(7): 793-801).
  • One weight loss program involves eating meals that balance the amounts of protein, fat and carbohydrate. See, e.g. Dr. Barry Sears, Enter the Zone (1995), Regan Books. This diet, which is similar to that suggested for diabetic patients, seeks to maintain blood glucose levels within specified ranges by limiting the amount of carbohydrate and fat intake and “balancing” fats and carbohydrates with proteins. Thus, frequent monitoring of blood glucose levels allows subjects following this diet to determine which foods (and what combinations of foods) to eat at what times so they maintain specified blood glucose levels that are neither hyperglycemic nor hypoglycemic.
  • a range of glucose values can be established for a subject based on desired blood glucose levels directed to the desired goal, for example, weight management.
  • Alerts can be set in the glucose monitoring device to be activated when blood sugar levels falls below, or rise above, lower and upper limits (respectively) of the predetermined range.
  • Such alerts provide an on-going assessment of the subject's glucose consumption and production, as well as rates and amounts thereof.
  • Frequent and periodic monitoring of changes in the plasma or blood glucose in a subject provides information to the subject and/or health care profession (e.g., physician, dietician, etc.) that allows optimization of a food plan to suit the particular needs of the subject (for example, weight loss or weight gain).
  • An appropriate reference range of glucose values is typically determined by a trained, health-care professional. Such a reference range may also include a preferred average glucose value, as well as a preferred range of variation around the average value. Such a determination of reference glucose range is typically based on current physical characteristics of the subject (including, but not limited to, body mass index, percentage body fat, hydration level, etc.) and the subject's goal for weight management (i.e., gain, loss, or maintenance). This reference range is then entered into the glucose monitoring device typically with alerts set at the high and low threshold values.
  • One or more microprocessor component of the glucose monitoring device typically includes an algorithm to maintain a record of all subject glucose values determined by the glucose monitoring device.
  • a memory component of the glucose monitoring device may also store related information entered by a subject, such as, times and amounts of exercise, amounts and types of food, etc. Alternatively, such information may be entered into a system that interfaces with the glucose monitoring device, such as, a personal computer (PC), pocket PC, personal digital assistant (PDA, e.g., Palm PilotTM (Palm Inc., Santa Clara, Calif.)).
  • PC personal computer
  • PDA personal digital assistant
  • Palm PilotTM Palm Inc., Santa Clara, Calif.
  • a record of glucose levels obtained by frequent sampling (for example, the GlucoWatch biographer provides approximately 3 glucose readings per hour) is developed.
  • a subject enters the time of meals, snacks, or caloric intake and/or output, in order to keep track of glucose levels relative to such events.
  • the glucose monitoring device alerts the subject to glucose levels outside of the predetermined range.
  • One set of distinctive alerts may be associated with a low threshold glucose level in order to alert the subject to, for example, consume a snack, and another set of distinctive alerts may be associated with levels above the high threshold value to warn the subject of excessive caloric intake.
  • glucose monitoring device and/or an associated device
  • the records developed over days, weeks, months, etc. can be reviewed by a subject and/or a health-care professional in order to provide appropriate modifications to the food plan.
  • comparing a series of glucose amounts or concentrations as determined by the glucose monitoring device, the record of caloric intake and/or output, and the predetermined reference range of glucose values allows the subject (and/or health-care professional) to evaluate compliance with the reference range of glucose amounts or concentrations that is being used to achieve the weight management goal of the subject.
  • glucose level fluctuations that put the subject at risk can be evaluated and solutions to avoid such fluctuations proposed.
  • a similar approach may be applied to numerous disease states or conditions, e.g., those described above.
  • a subject may enter information (e.g., time of dosing) about medications that are being taken (such as, HIV medications discussed above) and glucose levels can be evaluated relative to such events, i.e., comparing the record of medication to glucose levels.
  • information e.g., time of dosing
  • glucose levels can be evaluated relative to such events, i.e., comparing the record of medication to glucose levels.
  • a series of glucose amounts or concentrations in a subject being treated with a pharmaceutical composition typically comprising at least one non-insulin containing pharmaceutical compound, further such pharmaceutical compounds typically do not comprise pharmaceuticals used for the treatment of diabetes, rather they are pharmaceutical compounds with associated side-effects on glucose levels
  • a reference record of dates/times of treatment with the pharmaceutical it is possible to evaluate the effect of the pharmaceutical composition on glucose levels in the subject receiving the pharmaceutical composition over time.
  • a reference range of glucose amounts or concentrations that correspond to maintaining a desired range of glucose amounts or concentrations in the subject during a treatment course can be determined by the subject typically in cooperation with a health-care professional.
  • the reference range is typically defined by a high threshold glucose value and a low threshold glucose value. Alerts may be set in the glucose monitoring device to make the subject aware of fluctuations outside of the reference range.
  • a reference range of glucose amounts or concentrations is typically determined that corresponds to achieving an improved prognosis or reduction of adverse side-effects associated with said disease state or condition in the subject.
  • the reference range of glucose amounts or concentrations typically comprises a high threshold glucose value and a low threshold glucose value, and further may include a desired average value with a preferred, associated range of variation.
  • the glucose amount or concentration in the subject is monitored using a glucose monitoring device, for example, as described above. A series of glucose values is obtained over a time course.
  • the above-described method of providing a functional range of glucose values can be extended to endurance exercise and training. Different ranges of glucose can be established by the subject and/or a health-care professional wherein a selected range of glucose values is put into effect in the glucose monitoring device depending on the activity.
  • three reference glucose ranges may be established for a person undertaking an exercise or training program: a resting range of glucose values, where the high and low glucose threshold values are determined to maintain a certain weight, an aerobic-exercise range of glucose values, where the high and low glucose threshold values are determined to maintain optimum performance during aerobic exertion, and a training-exercise range, where most of the activity is not aerobic in nature (e.g., weight training) and the high and low glucose threshold values are determined to maintain optimum performance during the training activity.
  • a subject may activate a selected set of range values in the glucose monitoring device.
  • a default setting may be selected by the subject to which settings the glucose monitoring device returns after a specified amount of time, or another alert may be programmed to remind the subject to change the selected set of range values after a certain period of time.
  • a record of glucose level variation correlated to activities gives the subject information to evaluate which may reveal particular issues that need to be addressed. For example, consistently low glucose levels during sustained aerobic events may indicate to the subject that such events should be preceded by an increased intake in carbohydrates/fats/proteins.
  • review and evaluation of such a record may allow the subject to modify the intensity, duration, and/or type of exercise in order to maintain appropriate glucose levels throughout the subject's training program, thereby preventing over-exertion and/or reduction of muscle mass.
  • high and low glucose threshold values may be established for a reference glucose range.
  • the glucose monitoring device may be worn by the subject in order to obtain frequent, periodic measurements of glucose amount or concentration in the subject.
  • An independent record may be kept by the subject of caloric intake (e.g., meals and snacks) as well as caloric expenditure (e.g., exercise).
  • This independent record can then be compared to the record of glucose values provided by the glucose monitoring device and the reference range of glucose values. Such comparison may be carried out by hand or by a computerized algorithm.
  • trends of glucose levels can be compared to caloric intake/output and diet and exercise adjusted accordingly to achieve weight management goals.
  • comparing a series of glucose amounts or concentrations as determined by the glucose monitoring device, the record of caloric intake/output, and the predetermined reference range of glucose values allows the subject (and/or health-care professional) to evaluate compliance with the reference range of glucose amounts or concentrations that is being used to achieve the weight management goal of the subject.
  • Such independent record keeping by the subject may be applied to other disease states or conditions described above (e.g., medications, exercise training, long distance driving, etc.).

Abstract

Methods of frequently monitoring glucose amounts and/or concentrations in a subject who is at risk for hypoglycemia, hyperglycemia, and/or glucose level fluctuations that put the subject at risk are provided. Also provided are methods of monitoring the effects of one or more pharmaceutical compositions on the levels of glucose in a subject.

Description

    CROSS-REFERENCE TO RELATED APPLICATIONS
  • This application is related to U.S. Provisional Patent Application Serial No. 60/228,617, filed Aug. 28, 2000, from which priority is claimed under 35 USC §119(e)(1), and which application is incorporated herein by reference in its entirety.[0001]
  • TECHNICAL FIELD
  • The present invention is in the field of medical devices and methods of use thereof. More particularly it relates to methods of using glucose monitoring devices to monitoring glucose amounts and/or concentrations in a subject who is at risk for hypoglycemia, hyperglycemia, or fluctuations toward hypoglycemia and/or hyperglycemia. The methods also include methods of monitoring the effects of one or more pharmaceutical compositions on the levels of glucose in a subject. [0002]
  • BACKGROUND OF THE INVENTION
  • The level, presence, and/or absence of glucose in a subject can have a number of consequences. For example, fluctuations of blood glucose levels can result in one of two physiological states, hypoglycemia and hyperglycemia. Hypoglycemia is defined as plasma glucose levels below normal. Hypoglycemia can be symptomatic or asymptomatic. For example, subjects suffering from postprandial hypoglycemia generally have symptoms of adrenergic stimulation including diaphoresis, anxiety, irritability, palpitations, tremor, and hunger. Such symptoms typically occur from about 2 to 4 hours postprandially and tend to occur suddenly with symptoms generally subsiding in about 15 to 20 minutes. Hypoglycemia can be caused by release of adrenergic and cholinergic hormones. Postprandial hypoglycemia is often idiopathic, however, it can be caused by early diabetes, alcohol intake, renal failure, and drug treatments. In addition, a category of hypoglycemia exists which is designated as fasting hypoglycemia. Clinically, this form of hypoglycemia may have symptoms of neuroglycopenia including headache, fatigue, and mental dullness. In more severe cases, hypoglycemia can progress to confusion, blurring of vision, seizure, and ultimately loss of consciousness or seizure. Fasting hypoglycemia can occur with a fast of greater than 4 hours, and further can be caused by insulinoma (resulting from self-administered insulin or intake of other hypoglycemic agents, alcohol abuse, liver disease (e.g., decreased gluconeogenesis), pituitary insufficiency, or adrenal insufficiency). [0003]
  • Hyperglycemia, on the other hand, refers to excessive levels of blood glucose in a subject. There are many forms of hyperglycemia, the primary form being diabetes mellitus (DM) which is defined as hyperglycemia secondary to decreased insulin production or an increase in peripheral tissue resistance to the action of insulin. There are several classifications of DM including, type 1 DM, [0004] type 2 DM, gestational DM, and secondary DM (which can, for example, be the result of a variety of drug therapies, disease states (e.g., pancreatitis, Cushing's syndrome), trauma, surgery, and others causes). Further, in the case of severe insulin deficiency, a starvation-like state develops resulting in acidosis (typically referred to as diabetic ketoacidosis). Symptoms of ketoacidosis can include rapid respiration, acetone breath, vomiting, dehydration, nausea, abdominal pain and changes in mental stability.
  • Thus, there is a need for frequent monitoring of glucose levels in many subjects who are at risk for hypogylcemia and hyperglycemia. [0005]
  • SUMMARY OF THE INVENTION
  • The present invention describes methods of monitoring glucose levels and/or concentration in a subject having a disease state or condition which puts the subject at risk for hypoglycemia, hyperglycemia, or fluctuations toward hypoglycemia and/or hyperglycemia (for example, quickly dropping or increasing glucose levels). A wide variety of disease states or conditions benefit from frequent glucose monitoring, such monitoring provides a tool for the subject, and/or healthcare professional, to develop a response or plan to assist with management of the disease state or condition. Methods of monitoring a subject for the effects of at least one non-insulin containing pharmaceutical composition on glucose amount or levels in subjects are also described. The subject being monitored may also be receiving insulin-containing compositions. [0006]
  • In one aspect the invention includes, a method for monitoring an amount or concentration of glucose in a subject having a disease state or condition, the method comprising: extracting glucose from the subject having the disease state or condition into a reservoir to obtain an amount or concentration of glucose in the reservoir, wherein the extracting is carried out using an iontophoresis system comprising first and second iontophoretic electrodes; contacting extracted glucose extracted with glucose oxidase that reacts with glucose to produce hydrogen peroxide; detecting the hydrogen peroxide with a sensor element that reacts electrochemically with the hydrogen peroxide to produce a detectable signal; measuring the signal produced; correlating the measured signal with an amount or concentration of glucose in the subject; and performing the extracting, detecting, and measuring frequently, and performing the correlating at least periodically to monitor glucose amount or concentration in the subject in order to assist in management of the disease state or condition. The methods are helpful to the subject, and/or healthcare professional, to provide responses or plans to assist in the management of a wide variety of disease states and conditions, including, but not limited to, a weight management regime; cancer remission; infection with human immunodeficiency virus (HIV); infection with Candida; long distance driving; organ transplantation; growth hormone therapy; renal failure; infection with malaria; alcoholism; intense exercise; cardiovascular disease; cystic fibrosis; or stroke or ischemia. Further, such methods are helpful in assisting in the management of diabetic disease states (e.g., gestational diabetes; fetal or premature-birth neonate (i.e., a neonate born before term) glucose management). [0007]
  • In one aspect, the present invention comprises a method for evaluating compliance with a weight management program in a subject. In this method a reference range of glucose amounts or concentrations is determined that correspond to achieving a weight management goal in the subject. Such range of glucose amounts or concentrations typically comprises a high threshold glucose value and a low threshold glucose value. Further, rates of change (or trends) of glucose amounts or concentrations in the subject may be determined. In one embodiment of the present invention, monitoring of glucose amount or concentration in the subject is accomplished by a glucose monitoring method comprising the following. First a sample is extracted from the subject, where the sample comprises glucose. The extraction is carried out, for example, transdermally. In one embodiment, the transdermal sampling system is in operative contact with a skin or mucosal surface of the subject, and may be maintained in contact to obtain a series of samples, for example, the extracting is carried out using an iontophoretic system comprising first and second iontophoretic electrodes. The extracted sample is contacted with a sensor element, for example, in the presence of glucose oxidase that reacts with glucose to produce hydrogen peroxide. The hydrogen peroxide is detected by the sensor element, for example, by an electrochemical reaction between the sensor element and the hydrogen peroxide, thus a detectable signal is produced. The detectable signal is specifically related to glucose amount or concentration in the subject. The detectable signal is measured and correlated with an amount or concentration of glucose in the subject. The glucose monitoring method is typically repeated to obtain a series of glucose amounts or concentrations, in the subject, at selected time intervals. Glucose monitoring is usually carried out frequently and periodically. Exemplary devices for use in glucose monitoring are described herein. The glucose monitoring device used in the method of the present invention may have alert means, where an alert is provided to the subject (for example, an auditory alert) when glucose levels exceed the predetermined threshold values, when glucose levels change at a rate faster than a predetermined rate of change, or when a predicted glucose value for a later time point falls outside of the predetermined range. The subject typically maintains a record of caloric intake. Such a record may be inputted into the glucose monitoring device itself, or a related device (such as a personal digital assistant, where, for example, the personal digital assistant is operatively connected, at least periodically, with the record of glucose values obtained by the glucose monitoring device). Alternately, such a record may be manually maintained. In addition to caloric intake, caloric output may be recorded as well. This record is then compared to the series of glucose amounts or concentrations and the predetermined reference ranges to evaluate compliance with the reference range of glucose amounts or concentrations to achieve the weight management goal of the subject. [0008]
  • The weight management goal may be weight gain in the subject, weight reduction in the subject, and weight maintenance in the subject. [0009]
  • A further aspect of the present invention comprises a method for monitoring an effect of at least one non-insulin-containing pharmaceutical composition on glucose levels in a subject receiving the pharmaceutical composition. In the method, glucose monitoring in the subject may be carried out by the method described above. In this method a record is maintained of treatment with the pharmaceutical composition. The series of glucose amounts or concentrations and the record are compared to evaluate the effect of the pharmaceutical composition on glucose levels in the subject receiving the pharmaceutical composition. A reference range of glucose amounts or concentrations is typically determined that corresponds to maintaining a desired range of glucose amounts or concentrations in the subject during a treatment course with the pharmaceutical composition. The reference range comprises, for example, a high threshold glucose value, a low threshold glucose value, a predetermined rate of change (e.g., glucose levels change at a rate faster than a predetermined rate of change), and/or a predicted glucose value for a later time point. The glucose monitoring device may provide an alert corresponding to threshold values, rate changes, a predicted glucose value that falls outside of the predetermined range, etc. Such glucose monitoring is useful when any one or more of a number of pharmaceutical compositions are being used to treat a subject. Exemplary pharmaceutical compositions are described herein and include, but are not limited to, pentamidine, quinine, saquinavir, and/or indomethacin. In addition, the subject may also be receiving insulin, or another pharmaceutical directly targeted to maintenance of glucose levels in the subject. [0010]
  • Another aspect of the present invention relates to a method for improving prognosis and/or reduction of adverse side-effects associated with a disease state or condition in a subject. In this aspect of the present invention, a reference range of glucose amounts or concentrations is determined that corresponds to achieving an improved prognosis or reduction of adverse side-effects associated with the disease state or condition in the subject. The reference range comprises, for example, a high threshold glucose value, a low threshold glucose value, a predetermined rate of change (e.g., glucose levels change at a rate faster than a predetermined rate of change), and/or a predicted glucose value for a later time point. The glucose monitoring device may provide an alert corresponding to threshold values, rate changes, a predicted glucose value that falls outside of the predetermined range, etc. The series of glucose amounts or concentrations and the reference range are compared to evaluate compliance with the reference range of glucose amounts or concentrations to achieve an improved prognosis or reduction of adverse side-effects associated with the disease state or condition in the subject. In this aspect of the present invention, the disease state or condition is not type I or type II diabetes. [0011]
  • Exemplary disease states or conditions are described herein and include, but are not limited to, cancer remission, infection with human immunodeficiency virus (HIV), infection with Candida and/or other systemic pathogens, long distance driving, organ transplantation, growth hormone therapy, renal failure, infection with malaria, alcoholism, intense exercise or training, cardiovascular disease, cystic fibrosis, stroke or ischemia, and/or an eating disorder. [0012]
  • These and other embodiments of the present invention will readily occur to those of ordinary skill in the art in view of the disclosure herein.[0013]
  • BRIEF DESCRIPTION OF THE FIGURE
  • FIG. 1 presents a schematic of an exploded view of exemplary components comprising one embodiment of an AutoSensor for use in an analyte monitoring system. [0014]
  • DETAILED DESCRIPTION OF THE INVENTION
  • The practice of the present invention will employ, unless otherwise indicated, conventional methods and techniques of chemistry, biochemistry, electrochemisty and pharmacology, within the skill of the art. Such conventional methods and techniques are explained fully in the literature. [0015]
  • All publications, patents and patent applications cited herein, whether above or below are hereby incorporated by reference in their entirety. [0016]
  • 1. Definitions [0017]
  • It is to be understood that the terminology used herein is for the purpose of describing particular embodiments only, and is not intended to be limiting. As used in this specification and the appended claims, the singular forms “a”, “an” and “the” include plural referents unless the context clearly dictates otherwise. Thus, for example, reference to “a reservoir” includes a combination of two or more such reservoirs, reference to “an analyte” includes mixtures of analytes, and the like. [0018]
  • Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the invention pertains. Although other methods and materials similar, or equivalent, to those described herein can be used in the practice of the present invention, the preferred materials and methods are described herein. [0019]
  • In describing and claiming the present invention, the following terminology will be used in accordance with the definitions set out below. [0020]
  • The term “microprocessor” refers to a computer processor contained on an integrated circuit chip, such a processor may also include memory and associated circuits. A microprocessor may further comprise programmed instructions to execute or control selected functions, computational methods, switching, etc. Microprocessors and associated devices are commercially available from a number of sources, including, but not limited to, Cypress Semiconductor Corporation, San Jose, Calif.; IBM Corporation, White Plains, N.Y.; Applied Microsystems Corporation, Redmond, Wash.; Intel Corporation, Chandler, Ariz.; and, National Semiconductor, Santa Clara, Calif. [0021]
  • The terms “analyte” and “target analyte” are used to denote any physiological analyte of interest that is a specific substance or component that is being detected and/or measured in a chemical, physical, enzymatic, or optical analysis. A detectable signal (e.g., a chemical signal or electrochemical signal) can be obtained, either directly or indirectly, from such an analyte or derivatives thereof. Furthermore, the terms “analyte” and “substance” are used interchangeably herein, and are intended to have the same meaning, and thus encompass any substance of interest. In preferred embodiments, the analyte is a physiological analyte of interest, for example, glucose, or a chemical that has a physiological action, for example, a drug or pharmacological agent. [0022]
  • A “sampling device,” “sampling mechanism” or “sampling system” refers to any device and/or associated method for obtaining a sample from a biological system for the purpose of determining the concentration of an analyte of interest. Such “biological systems” include any biological system from which the analyte of interest can be extracted, including, but not limited to, blood, interstitial fluid, perspiration and tears. Further, a “biological system” includes both living and artificially maintained systems. The term “sampling” mechanism refers to extraction of a substance from the biological system, generally across a membrane such as the stratum corneum or mucosal membranes, wherein said sampling is invasive, minimally invasive, semi-invasive or non-invasive. The membrane can be natural or artificial, and can be of plant or animal nature, such as natural or artificial skin, blood vessel tissue, intestinal tissue, and the like. Typically, the sampling mechanism is in operative contact with a “reservoir,” or “collection reservoir,” wherein the sampling mechanism is used for extracting the analyte from the biological system into the reservoir to obtain the analyte in the reservoir. Nonlimiting examples of sampling techniques include iontophoresis, sonophoresis (see, e.g., International Publication No. WO 91/12772, published Sep. 5, 1991; U.S. Pat. No. 5,636,632), suction, electroporation, thermal poration, passive diffusion (see, e.g., International Publication Nos.: WO 97/38126 (published Oct. 16, 1997); WO 97/42888, WO 97/42886, WO 97/42885, and WO 97/42882 (all published Nov. 20, 1997); and WO 97/43962 (published Nov. 27, 1997)), microfine (miniature) lances or cannulas, biolistic (e.g., using particles accelerated to high speeds), subcutaneous implants or insertions, and laser devices (see, e.g., Jacques et al. (1978) J. Invest. Dermatology 88:88-93; International Publication WO 99/44507, published Sep. 10, 1999; International Publication WO 99/44638, published Sep. 10, 1999; and International Publication WO 99/40848, published Aug. 19, 1999). Iontophoretic sampling devices are described, for example, in International Publication No. WO 97/24059, published Jul. 10, 1997; European Patent Application EP 0942 278, published Sep. 15, 1999; International Publication No. WO 96/00110, published Jan. 4, 1996; International Publication No. WO 97/10499, published Mar. 2, 1997; U.S. Pat. Nos. 5,279,543; 5,362,307; 5,730,714; 5,771,890; 5,989,409; 5,735,273; 5,827,183; 5,954,685 and 6,023,629, all of which are herein incorporated by reference in their entireties. Further, a polymeric membrane may be used at, for example, the electrode surface to block or inhibit access of interfering species to the reactive surface of the electrode. [0023]
  • The term “physiological fluid” refers to any desired fluid to be sampled, and includes, but is not limited to, blood, cerebrospinal fluid, interstitial fluid, semen, sweat, saliva, urine and the like. [0024]
  • The term “artificial membrane” or “artificial surface,” refers to, for example, a polymeric membrane, or an aggregation of cells of monolayer thickness or greater which are grown or cultured in vivo or in vitro, wherein said membrane or surface functions as a tissue of an organism but is not actually derived, or excised, from a pre-existing source or host. [0025]
  • A “monitoring system” or “analyte monitoring device” refer to a system useful for obtaining frequent measurements of a physiological analyte present in a biological system. Such a device is useful, for example, for monitoring the amount or concentration of an analyte in a subject. Such a system may comprise, but is not limited to, a sampling mechanism, a sensing mechanism, and a microprocessor mechanism in operative communication with the sampling mechanism and the sensing mechanism. Such a device typically provides frequent measurement or determination of analyte amount or concentration in the subject and provides an alert or alerts when levels of the analyte being monitored fall outside of a predetermined range. Such devices may comprise durable and consumable (or disposable) elements. The term “glucose monitoring device” refers to a device for monitoring the amount or concentration of glucose in a subject. Such a device typically provides a frequent measurement or determination of glucose amount or concentration in the subject and provides an alert or alerts when glucose levels fall outside of a predetermined range. One such exemplary glucose monitoring device is the GlucoWatch® (Cygnus, Inc., Redwood City, Calif., US) biographer. The GlucoWatch biographer comprises two primary elements, a durable element (comprising a watch-type housing, circuitry, display element, microprocessor element, electrical connector elements, and may further comprise a power supply) and a consumable, or disposable, element (e.g., an AutoSensor component involved in sampling and signal detection, see, for example, WO 99/58190, published Nov. 18, 1999). This and similar devices is described, for example, in the following publications: Tamada, et al., (1999) JAMA 282:1839-1844; U.S. Pat. No. 5,771,890, issued Jun. 30, 1998; U.S. Pat. No. 5, 735,273, issued Apr. 7, 1998; U.S. Pat. No. 5,827,183, issued Oct. 27, 1998; U.S. Pat. No. 5,954,685, issued Sep. 21, 1999; U.S. Pat. No. 5,989,409, issued Nov. 23, 1999; U.S. Pat. No. 6,023,629, issued Feb. 8, 2000; EP Pat. Application EP 0 942 278 A2, published Sep. 15, 1999; PCT International Application WO 96/001100, published Jan. 4, 1996; PCT International Application WO 99/58190, published Nov. 18, 1999. The GlucoWatch biographer provides a device for frequent sampling of glucose from a subject the application of low intensity electric fields across the skin (iontophoresis) to enhance the transport of glucose from body tissues to a sampling chamber. In addition, when the concentration or amount of glucose has been determined to be outside of a predetermined range of values (or monitored glucose in the subject falls too quickly) the GlucoWatch biographer produces an alert or alarm signal. Such an alert or alarm is a component of the GlucoWatch biographer. [0026]
  • A “measurement cycle” typically comprises extraction of an analyte from a subject, using, for example, a sampling device, and sensing of the extracted analyte, for example, using a sensing device, to provide a measured signal, for example, a measured signal response curve. A complete measurement cycle may comprise one or more sets of extraction and sensing. [0027]
  • The term “frequent measurement” refers to a series of two or more measurements obtained from a particular biological system, which measurements are obtained using a single device maintained in operative contact with the biological system over a time period in which a series of measurements (e.g., second, minute or hour intervals) is obtained. The term thus includes continual and continuous measurements. [0028]
  • The term “subject” encompasses any warm-blooded animal, particularly including a member of the class Mammalia such as, without limitation, humans and nonhuman primates such as chimpanzees and other apes and monkey species; farm animals such as cattle, sheep, pigs, goats and horses; domestic mammals such as dogs and cats; laboratory animals including rodents such as mice, rats and guinea pigs, and the like. The term does not denote a particular age or sex and, thus, includes adult and newborn subjects, whether male or female. [0029]
  • The term “transdermal” includes both transdermal and transmucosal techniques, i.e., extraction of a target analyte across skin, e.g., stratum corneum, or mucosal tissue. Aspects of the invention which are described herein in the context of“transdermal,” unless otherwise specified, are meant to apply to both transdermal and transmucosal techniques. [0030]
  • The term “transdermal extraction,” or “transdermally extracted” refers to any sampling method, which entails extracting and/or transporting an analyte from beneath a tissue surface across skin or mucosal tissue. The term thus includes extraction of an analyte using, for example, iontophoresis (reverse iontophoresis), electroosmosis, sonophoresis, microdialysis, suction, and passive diffusion. These methods can, of course, be coupled with application of skin penetration enhancers or skin permeability enhancing technique such as various substances or physical methods such as tape stripping or pricking with micro-needles. The term “transdermally extracted” also encompasses extraction techniques which employ thermal poration, laser microporation, electroporation, microfine lances, micro fine cannulas, subcutaneous implants or insertions, combinations thereof, and the like. [0031]
  • The term “iontophoresis” refers to a method for transporting substances across tissue by way of an application of electrical energy to the tissue. In conventional iontophoresis, a reservoir is provided at the tissue surface to serve as a container of (or to provide containment for) material to be transported. Iontophoresis can be carried out using standard methods known to those of skill in the art, for example by establishing an electrical potential using a direct current (DC) between fixed anode and cathode “iontophoretic electrodes,” alternating a direct current between anode and cathode iontophoretic electrodes, or using a more complex waveform such as applying a current with alternating polarity (AP) between iontophoretic electrodes (so that each electrode is alternately an anode or a cathode). For example, see U.S. Pat. Nos. 5,771,890 and 6,023,629 and PCT Publication No. WO 96/00109, published Jan. 4, 1996. [0032]
  • The term “reverse iontophoresis” refers to the movement of a substance from a biological fluid across a membrane by way of an applied electric potential or current. In reverse iontophoresis, a reservoir is provided at the tissue surface to receive the extracted material, as used in the GlucoWatch biographer glucose monitor (Cygnus, Inc., Redwood City, Calif.; see, e.g., Tamada et al. (1999) JAMA 282:1839-1844). [0033]
  • “Electroosmosis” refers to the movement of a substance through a membrane by way of an electric field-induced convective flow. The terms iontophoresis, reverse iontophoresis, and electroosmosis, will be used interchangeably herein to refer to movement of any ionically charged or uncharged substance across a membrane (e.g., an epithelial membrane) upon application of an electric potential to the membrane through an ionically conductive medium. [0034]
  • The term “sensing device,” or “sensing mechanism,” encompasses any device that can be used to measure the concentration or amount of an analyte, or derivative thereof, of interest. Preferred sensing devices for detecting blood analytes generally include electrochemical devices, optical and chemical devices and combinations thereof. Examples of electrochemical devices include the Clark electrode system (see, e.g., Updike, et al., (1967) Nature 214:986-988), and other amperometric, coulometric, or potentiometric electrochemical devices, as well as, optical methods, for example UV detection or infrared detection (e.g., U.S. Pat. No. 5,747,806). [0035]
  • A “biosensor” or “biosensor device” includes, but is not limited to, a “sensor element” that includes, but is not limited to, a “biosensor electrode” or “sensing electrode” or “working electrode” which refers to the electrode that is monitored to determine the amount of electrical signal at a point in time or over a given time period, which signal is then correlated with the concentration of a chemical compound. The sensing electrode comprises a reactive surface which converts the analyte, or a derivative thereof, to electrical signal. The reactive surface can be comprised of any electrically conductive material such as, but not limited to, platinum-group metals (including, platinum, palladium, rhodium, ruthenium, osmium, and iridium), nickel, copper, and silver, as well as, oxides, and dioxides, thereof, and combinations or alloys of the foregoing, which may include carbon as well. Some catalytic materials, membranes, and fabrication technologies suitable for the construction of amperometric biosensors are described by Newman, J. D., et al.([0036] 1995) Analytical Chemistry 67:4594-4599.
  • The “sensor element” can include components in addition to the sensing electrode, for example, it can include a “reference electrode” and a “counter electrode.” The term “reference electrode” is used to mean an electrode that provides a reference potential, e.g., a potential can be established between a reference electrode and a working electrode. The term “counter electrode” is used to mean an electrode in an electrochemical circuit that acts as a current source or sink to complete the electrochemical circuit. Although it is not essential that a counter electrode be employed where a reference electrode is included in the circuit and the electrode is capable of performing the function of a counter electrode, it is preferred to have separate counter and reference electrodes because the reference potential provided by the reference electrode is most stable when it is at equilibrium. If the reference electrode is required to act further as a counter electrode, the current flowing through the reference electrode may disturb this equilibrium. Consequently, separate electrodes functioning as counter and reference electrodes are preferred. [0037]
  • In one embodiment, the “counter electrode” of the “sensor element” comprises a “bimodal electrode.” The term “bimodal electrode” typically refers to an electrode which is capable of functioning non-simultaneously as, for example, both the counter electrode (of the “sensor element”) and the iontophoretic electrode (of the “sampling mechanism”) as described, for example, U.S. Pat. No. 5,954,685. [0038]
  • The terms “reactive surface,” and “reactive face” are used interchangeably herein to mean the surface of the sensing electrode that: (1) is in contact with the surface of an ionically conductive material which contains an analyte or through which an analyte, or a derivative thereof, flows from a source thereof; (2) is comprised of a catalytic material (e.g., a platinum group metal, platinum, palladium, rhodium, ruthenium, or nickel and/or oxides, dioxides and combinations or alloys thereof) or a material that provides sites for electrochemical reaction; (3) converts a chemical signal (for example, hydrogen peroxide) into an electrical signal (e.g., an electrical current); and (4) defines the electrode surface area that, when composed of a reactive material, is sufficient to drive the electrochemical reaction at a rate sufficient to generate a detectable, reproducibly measurable, electrical signal that is correlatable with the amount of analyte present in the electrolyte. [0039]
  • An “ionically conductive material” refers to any material that provides ionic conductivity, and through which electrochemically active species can diffuse. The ionically conductive material can be, for example, a solid, liquid, or semi-solid (e.g., in the form of a gel) material that contains an electrolyte, which can be composed primarily of water and ions (e.g., sodium chloride), and generally comprises 50% or more water by weight. The material can be in the form of a hydrogel, a sponge or pad (e.g., soaked with an electrolytic solution), or any other material that can contain an electrolyte and allow passage of electrochemically active species, especially the analyte of interest. Some exemplary hydrogel formulations are described in WO 97/02811, published Jan. 30, 1997. The ionically conductive material may comprise a biocide. For example, during manufacture of an AutoSensor assembly, one or more biocides may be incorporated into the ionically conductive material. Biocides of interest include, but are not limited to, compounds such as chlorinated hydrocarbons; organometallics; hydrogen releasing compounds; metallic salts; organic sulfur compounds; phenolic compounds (including, but not limited to, a variety of Nipa Hardwicke Inc. liquid preservatives registered under the trade names Nipastat®, Nipaguard®, Phenosept®, Phenonip®, Phenoxetol®, and Nipacide®; quaternary ammonium compounds; surfactants and other membrane-disrupting agents (including, but not limited to, undecylenic acid and its salts), combinations thereof, and the like. [0040]
  • The term “buffer” refers to one or more components which are added to a composition in order to adjust or maintain the pH of the composition. [0041]
  • The term “electrolyte” refers to a component of the ionically conductive medium which allows an ionic current to flow within the medium. This component of the ionically conductive medium can be one or more salts or buffer components, but is not limited to these materials. [0042]
  • The term “collection reservoir” is used to describe any suitable containment method or device for containing a sample extracted from a biological system. For example, the collection reservoir can be a receptacle containing a material which is ionically conductive (e.g., water with ions therein), or alternatively it can be a material, such as a sponge-like material or hydrophilic polymer, used to keep the water in place. Such collection reservoirs can be in the form of a hydrogel (for example, in the shape of a disk or pad). Hydrogels are typically referred to as “collection inserts.” Other suitable collection reservoirs include, but are not limited to, tubes, vials, strips, capillary collection devices, cannulas, and miniaturized etched, ablated or molded flow paths. [0043]
  • A “collection insert layer” is a layer of an assembly or laminate comprising a collection reservoir (or collection insert) located, for example, between a mask layer and a retaining layer. [0044]
  • A “laminate” refers to structures comprised of, at least, two bonded layers. The layers may be bonded by welding or through the use of adhesives. Examples of welding include, but are not limited to, the following: ultrasonic welding, heat bonding, and inductively coupled localized heating followed by localized flow. Examples of common adhesives include, but are not limited to, chemical compounds such as, cyanoacrylate adhesives, and epoxies, as well as adhesives having such physical attributes as, but not limited to, the following: pressure sensitive adhesives, thermoset adhesives, contact adhesives, and heat sensitive adhesives. [0045]
  • A “collection assembly” refers to structures comprised of several layers, where the assembly includes at least one collection insert layer, for example a hydrogel. An example of a collection assembly as referred to in the present invention is a mask layer, collection insert layer, and a retaining layer where the layers are held in appropriate functional relationship to each other but are not necessarily a laminate (i.e., the layers may not be bonded together. The layers may, for example, be held together by interlocking geometry or friction). [0046]
  • The term “mask layer” refers to a component of a collection assembly that is substantially planar and typically contacts both the biological system and the collection insert layer. See, for example, U.S. Pat. Nos. 5,735,273, 5,827,183, and 6,201,979, all herein incorporated by reference. [0047]
  • The term “gel retaining layer” or “gel retainer” refers to a component of a collection assembly that is substantially planar and typically contacts both the collection insert layer and the electrode assembly. [0048]
  • The term “support tray” typically refers to a rigid, substantially planar platform and is used to support and/or align the electrode assembly and the collection assembly. The support tray provides one way of placing the electrode assembly and the collection assembly into the sampling system. [0049]
  • An “AutoSensor assembly” refers to a structure generally comprising a mask layer, collection insert layer, a gel retaining layer, an electrode assembly, and a support tray. The AutoSensor assembly may also include liners where the layers are held in approximate, functional relationship to each other. Exemplary collection assemblies and AutoSensor structures are described, for example, in International Publication WO 99/58190, published Nov. 18, 1999; and U.S. Pat. Nos. 5,735,273 and 5,827,183. The mask and retaining layers are preferably composed of materials that are substantially impermeable to the analyte (chemical signal) to be detected; however, the material can be permeable to other substances. By “substantially impermeable” is meant that the material reduces or eliminates chemical signal transport (e.g., by diffusion). The material can allow for a low level of chemical signal transport, with the proviso that chemical signal passing through the material does not cause significant edge effects at the sensing electrode. [0050]
  • The terms “about” or “approximately” when associated with a numeric value refers to that numeric value plus or minus 10 units of measure (i.e. percent, grams, degrees or volts), preferably plus or minus 5 units of measure, more preferably plus or minus 2 units of measure, most preferably plus or minus 1 unit of measure. [0051]
  • By the term “printed” is meant a substantially uniform deposition of an electrode formulation onto one surface of a substrate (i.e., the base support). It will be appreciated by those skilled in the art that a variety of techniques may be used to effect substantially uniform deposition of a material onto a substrate, e.g., Gravure-type printing, extrusion coating, screen coating, spraying, painting, electroplating, laminating, or the like. [0052]
  • The term “physiological effect” encompasses effects produced in the subject that achieve the intended purpose of a therapy. In preferred embodiments, a physiological effect means that the symptoms of the subject being treated are prevented or alleviated. For example, a physiological effect would be one that results in the prolongation of survival in a patient. “Parameter” refers to an arbitrary constant or variable so appearing in a mathematical expression that changing it give various cases of the phenomenon represented (McGraw-Hill Dictionary of Scientific and Technical Terms, S. P. Parker, ed., Fifth Edition, McGraw-Hill Inc., 1994). In the context of the GlucoWatch biographer, a parameter is a variable that influences the value of the blood glucose level as calculated by an algorithm. [0053]
  • “Decay” refers to a gradual reduction in the magnitude of a quantity, for example, a current detected using a sensor electrode where the current is correlated to the concentration of a particular analyte and where the detected current gradually reduces but the concentration of the analyte does not. [0054]
  • The terms “disease state,” “condition” and “medical condition” refer to any physiological or environmental state about which a subject has concern. Exemplary disease states and conditions are described extensively herein, for example hypogylcemia, hyperglycemia, cardiovascular disease, cystic fibrosis, gestational diabetes, weight management regime, cancer remission, Candida infection, human immunodeficiency virus (HIV) infection, long distance driving, organ transplants recipients, subjects receiving growth hormone therapy, renal failure patients, malaria infection, alcoholism, etc. [0055]
  • 2. Modes of Carrying out the Invention [0056]
  • Before describing the present invention in detail, it is to be understood that this invention is not limited to particular formulations or process parameters as such may, of course, vary. It is also to be understood that the terminology used herein is for the purpose of describing particular embodiments of the invention only, and is not intended to be limiting. [0057]
  • Although a number of methods and materials similar or equivalent to those described herein can be used in the practice of the present invention, the preferred materials and methods are described herein. [0058]
  • 2.1.1 Exemplary Monitoring Systems [0059]
  • Numerous analyte monitoring systems can be used in the practice of the present invention. Typically, the monitoring system used to monitor the level of a selected analyte in a target system comprises a sampling device, which provides a sample comprising the analyte, and a sensing device, which detects the amount or concentration of the analyte or a signal associated with the analyte amount or concentration in the sample. [0060]
  • One exemplary monitoring system (the GlucoWatch biographer) is described herein for monitoring glucose levels in a biological system via the transdermal extraction of glucose from the biological system, particularly an animal subject, and then detection of signal corresponding to the amount or concentration of the extracted glucose. Transdermal extraction is carried out by applying an electrical current or ultrasonic radiation to a tissue surface at a collection site. The electrical current is used to extract small amounts of glucose from the subject into a collection reservoir. The collection reservoir is in contact with a sensor element (e.g., a biosensor) which provides for measurement of glucose concentration in the subject. As glucose is transdermally extracted into the collection reservoir, the analyte reacts with the glucose oxidase within the reservoir to produce hydrogen peroxide. The presence of hydrogen peroxide generates a current at the biosensor electrode that is directly proportional to the amount of hydrogen peroxide in the reservoir. This current provides a signal which can be detected and interpreted (for example, employing a selected algorithm) by an associated system controller to provide a glucose concentration value or amount for display. [0061]
  • In the use of the sampling system, a collection reservoir is contacted with a tissue surface, for example, on the stratum corneum of a subject's skin. An electrical current is then applied to the tissue surface in order to extract glucose from the tissue into the collection reservoir. Extraction is carried out, for example, frequently over a selected period of time. The collection reservoir is analyzed, at least periodically and typically frequently, to measure glucose concentration therein. The measured value correlates with the subject's blood glucose level. [0062]
  • To sample the analyte, one or more collection reservoirs are placed in contact with a tissue surface on a subject. The ionically conductive material within the collection reservoir is also in contact with an electrode (for reverse iontophoretic extraction) which generates a current sufficient to extract glucose from the tissue into the collection reservoir. Referring to FIG. 1, an exploded view of exemplary components comprising one embodiment of an AutoSensor for use in an iontophoretic sampling system is presented. The AutoSensor components include two biosensor/iontophoretic electrode assemblies, [0063] 104 and 106, each of which have an annular iontophoretic electrode, respectively indicated at 108 and 110, which encircles a biosensor electrode 112 and 114. The electrode assemblies 104 and 106 are printed onto a polymeric substrate 116 which is maintained within a sensor tray 118. A collection reservoir assembly 120 is arranged over the electrode assemblies, wherein the collection reservoir assembly comprises two hydrogel inserts 122 and 124 retained by a gel retaining layer 126 and mask layer 128. Further release liners may be included in the assembly, for example, a patient liner 130, and a plow-fold liner 132. In one embodiment, the electrode assemblies include bimodal electrodes. A mask layer 128 (for example, as described in PCT Publication No. WO 97/10356, published Mar. 20, 1997, and U.S. Pat. Nos. 5,735,273, 5,827,183, 6,141,573, and 6,201,979, all herein incorporated by reference) may be present. Other AutoSensor embodiments are described in WO 99/58190, published Nov. 18, 1999, herein incorporated by reference.
  • The mask and retaining layers are preferably composed of materials that are substantially impermeable to the analyte (e.g., glucose) to be detected (see, for example, U.S. Pat. Nos. 5,735,273, and 5,827,183, both herein incorporated by reference). By “substantially impermeable” is meant that the material reduces or eliminates analyte transport (e.g., by diffusion). The material can allow for a low level of analyte transport, with the proviso that the analyte that passes through the material does not cause significant edge effects at the sensing electrode used in conjunction with the mask and retaining layers. Examples of materials that can be used to form the layers include, but are not limited to, polyester, polyester derivatives, other polyester-like materials, polyurethane, polyurethane derivatives and other polyurethane-like materials. [0064]
  • The components shown in exploded view in FIG. 1 (i.e., an exemplary AutoSensor) are intended for use in a automatic sampling system which is configured to be worn like an ordinary wristwatch, as described, for example, in PCT Publication No. WO 96/00110, published Jan. 4, 1996, herein incorporated by reference. The AutoSensor in this case is a consumable element. A durable element, that is the wristwatch housing into which the AutoSensor is inserted, is also provided. The durable element can further include suitable electronics (e.g., one or more microprocessor(s), memory, display and other circuit components) and power sources, for example, for operating the automatic sampling system. The durable element also provides means to provide an audible alert when glucose levels in a subject being monitored are outside of a predetermined range. Further, such a device may also provide an audible alert when a trend is identified (for example, using an algorithm, e.g., U.S. Pat. No. 6,233,471, issued May 15, 2001) that indicates that glucose levels are dropping too quickly or increasing too quickly. For example, the GlucoWatch biographer provides an alert when glucose levels are falling faster than a predetermined rate. The one or more microprocessors may control a variety of functions, including, but not limited to, control of a sampling device, a sensing device, aspects of the measurement cycle (for example, timing of sampling and sensing, and alternating polarity between electrodes), connectivity, computational methods, different aspects of data manipulation (for example, acquisition, recording, recalling, comparing, and reporting), etc. [0065]
  • The sensing electrode can be, for example, a Pt-comprising electrode configured to provide a geometric surface area of about 0.1 to 3 cm[0066] 2, preferably about 0.5 to 2 cm2, and more preferably about 1 cm2. This particular configuration is scaled in proportion to the collection area of the collection reservoir used in the sampling system of the present invention, throughout which the extracted analyte and/or its reaction products will be present. The electrode composition is formulated using analytical- or electronic-grade reagents and solvents which ensure that electrochemical and/or other residual contaminants are avoided in the final composition, significantly reducing the background noise inherent in the resultant electrode. In particular, the reagents and solvents used in the formulation of the electrode are selected so as to be substantially free of electrochemically active contaminants (e.g., anti-oxidants), and the solvents in particular are selected for high volatility in order to reduce washing and cure times. Some electrode embodiments are described in European Pat. Publication 0 942 278 A2, published Sep. 15, 1999, herein incorporated by reference.
  • The reactive surface of the sensing electrode can be comprised of any electrically conductive material such as, but not limited to, platinum-group metals (including, platinum, palladium, rhodium, ruthenium, osmium, and iridium), nickel, copper, silver, and carbon, as well as, oxides, dioxides, combinations or alloys thereof. Some catalytic materials, membranes, and fabrication technologies suitable for the construction of amperometric biosensors were described by Newman, J. D., et al. (Analytical Chemistry 67(24), 4594-4599, 1995, herein incorporated by reference). [0067]
  • Any suitable iontophoretic electrode system can be employed, an exemplary system uses a silver/silver chloride (Ag/AgCl) electrode system. The iontophoretic electrodes are formulated typically using two performance criteria: (1) the electrodes are capable of operation for extended periods, preferably periods of up to 24 hours or longer; and (2) the electrodes are formulated to have high electrochemical purity in order to operate within the present system which requires extremely low background noise levels. The electrodes must also be capable of passing a large amount of charge over the life of the electrodes. With regard to operation for extended periods of time, Ag/AgCl electrodes are capable of repeatedly forming a reversible couple which operates without unwanted electrochemical side reactions (which could give rise to changes in pH, and liberation of hydrogen and oxygen due to water hydrolysis). The Ag/AgCl electrode is thus formulated to withstand repeated cycles of current passage in the range of about 0.01 to 1.0 mA per cm[0068] 2 of electrode area. With regard to high electrochemical purity, the Ag/AgCl components are dispersed within a suitable polymer binder to provide an electrode composition which is not susceptible to attack (e.g., plasticization) by components in the collection reservoir, e.g., the hydrogel composition. The electrode compositions are also typically formulated using analytical- or electronic-grade reagents and solvents, and the polymer binder composition is selected to be free of electrochemically active contaminants which could diffuse to the biosensor to produce a background current.
  • The automatic sampling system can transdermally extract the sample over the course of a selected period of time using reverse iontophoresis. The collection reservoir comprises an ionically conductive medium, preferably the hydrogel medium described hereinabove. A first iontophoresis electrode is contacted with the collection reservoir (which is typically in contact with a target, subject tissue surface), and a second iontophoresis electrode is contacted with either a second collection reservoir in contact with the tissue surface, or some other ionically conductive medium in contact with the tissue. A power source provides an electrical potential between the two electrodes to perform reverse iontophoresis in a manner known in the art. As discussed above, the biosensor selected to detect the presence, and possibly the level, of the target analyte (for example, glucose) within a reservoir is also in contact with the reservoir. Typically, there are two collections reservoirs, each comprising glucose oxidase, and each in operative contact with iontophoretic electrode and a sensing electrode. The iontophoretic electrode may be a bimodal electrode that also serves, non-concurrently, as a counter electrode to the sensing electrode (see, for example, U.S. Pat. No. 5,954,685, herein incorporated by reference). [0069]
  • In practice, an electric potential (either direct current or a more complex waveform) is applied between the two iontophoresis electrodes such that current flows from the first electrode through the first conductive medium into the skin, and back out from the skin through the second conductive medium to the second electrode. This current flow extracts substances through the skin into the one or more collection reservoirs through the process of reverse iontophoresis or electroosmosis. The electric potential may be applied as described in PCT Publication No. WO 96/00110, published Jan. 4, 1996, herein incorporated by reference. Typically, the electrical potential is alternated between two reservoirs to provide extraction of analyte into each reservoir in an alternating fashion (see, for example, U.S. Pat. Nos. 6,023,629, 5,954,685, both herein incorporated by reference). Analyte is also typically detected in each reservoir. [0070]
  • As an example, to extract glucose, the applied electrical current density on the skin or tissue can be in the range of about 0.01 to about 2 mA/cm[0071] 2. In order to facilitate the extraction of glucose, electrical energy can be applied to the electrodes, and the polarity of the electrodes can be, for example, alternated so that each electrode is alternately a cathode or an anode. The polarity switching can be manual or automatic. A device and method for sampling of substances using alternating polarity is described in U.S. Pat. No. 5,771,890, issued Jun. 30, 1998,herein incorporated by reference.
  • When a bimodal electrode is used (e.g., U.S. Pat. No. 5,954,685, issued Sep. 21, 1999, herein incorporated by reference), during the reverse iontophoretic phase, a power source provides a current flow to the first bimodal electrode to facilitate the extraction of the chemical signal into the reservoir. During the sensing phase, a separate power source is used to provide voltage to the first sensing electrode to drive the conversion of chemical signal retained in reservoir to electrical signal at the catalytic face of the sensing electrode. The separate power source also maintains a fixed potential at the electrode where, for example hydrogen peroxide is converted to molecular oxygen, hydrogen ions, and electrons, which is compared with the potential of the reference electrode during the sensing phase. While one sensing electrode is operating in the sensing mode it is electrically connected to the adjacent bimodal electrode which acts as a counter electrode at which electrons generated at the sensing electrode are consumed. [0072]
  • The electrode subassembly can be operated by electrically connecting the bimodal electrodes such that each electrode is capable of functioning as both an iontophoretic electrode and counter electrode along with appropriate sensing electrode(s) and reference electrode(s). [0073]
  • A potentiostat is an electrical circuit used in electrochemical measurements in three electrode electrochemical cells. A potential is applied between the reference electrode and the sensing electrode. The current generated at the sensing electrode flows through circuitry to the counter electrode (i.e., no current flows through the reference electrode to alter its equilibrium potential). Two independent potentiostat circuits can be used to operate the two biosensors. For the purpose of the present invention, the electrical current measured at the sensing electrode subassembly is the current that is correlated with an amount of chemical signal corresponding to the analyte. [0074]
  • The detected current can be correlated with the subject's blood glucose concentration (e.g., using a statistical technique or algorithm or combination of techniques) so that the system controller may display the subject's actual blood glucose concentration as measured by the sampling system. Such statistical techniques can be formulated as algorithm(s) and incorporated in one or more microprocessor(s) associated with the sampling system. Exemplary signal processing applications include, but are not limited to, those taught in the following U.S. Pat. Nos. 6,144,869, 6,233,471, 6,180,416, herein incorporated by reference. [0075]
  • In a further aspect of the present invention, the sampling/sensing mechanism and user interface may be found on separate components. Thus, the monitoring system can comprise at least two components, in which a first component comprises sampling mechanism and sensing mechanism that are used to extract and detect an analyte, for example, glucose, and a second component that receives the analyte data from the first component, conducts data processing on the analyte data to determine an analyte concentration and then displays the analyte concentration data. Typically, microprocessor functions (e.g., control of a sampling device, a sensing device, aspects of the measurement cycle, computational methods, different aspects of data manipulation or recording, etc.) are found in both components. Alternatively, microprocessing components may be located in one or the other of the at least two components. The second component of the monitoring system can assume many forms, including, but not limited to, the following: a watch, a credit card-shaped device (e.g., a “smart card” or “universal card” having a built-in microprocessor as described for example in U.S. Pat. No. 5,892,661, herein incorporated by reference), a pager-like device, cell phone-like device, or other such device that communicates information to the user visually, audibly, or kinesthetically. [0076]
  • Further, additional components may be added to the system, for example, a third component comprising a display of analyte values or an alarm related to analyte concentration, may be employed. In certain embodiments, a delivery unit is included in the system. An exemplary delivery unit is an insulin delivery unit. Insulin delivery units, both implantable and external, are known in the art and described, for example, in U.S. Pat. Nos. 5,995,860; 5,112,614 and 5,062,841, herein incorporated by reference. Preferably, when included as a component of the present invention, the delivery unit is in communication (e.g., wire-like or wireless communication) with the extracting and/or sensing mechanism such that the sensing mechanism can control the insulin pump and regulate delivery of a suitable amount of insulin to the subject. [0077]
  • Advantages of separating the first component (e.g., including the biosensor and iontophoresis functions) from the second component (e.g., including some microprocessor and display functions) include greater flexibility, discretion, privacy and convenience to the user. Having a small and lightweight measurement unit allows placement of the two components of the system on a wider range of body sites, for example, the first component may be placed on the abdomen or upper arm. This wider range of placement options may improve the accuracy through optimal extraction site selection (e.g., torso rather than extremities) and greater temperature stability (e.g., via the insulating effects of clothing). Thus, the collection and sensing assembly will be able to be placed on a greater range of body sites. Similarly, a smaller and less obtrusive microprocessor and display unit (the second component) provides a convenient and discrete system by which to monitor analytes. The biosensor readouts and control signals will be relayed via wire-like or wireless technology between the collection and sensing assembly and the display unit which could take the form of a small watch, a pager, or a credit card-sized device. This system also provides the ability to relay an alert message or signal during nighttime use, for example, to a site remote from the subject being monitored. [0078]
  • In one embodiment, the two components of the device can be in operative communication via a wire or cable-like connection. Operative communications between the components can be wireless link, i.e. provided by a “virtual cable,” for example, a telemetry link. This wireless link can be uni- or bi-directional between the two components. In the case of more than two components, links can be a combination of wire-like and wireless. [0079]
  • 2.1.2 Exemplary Analytes [0080]
  • The analyte can be any one or more specific substance, component, or combinations thereof that one is desirous of detecting and/or measuring in a chemical, physical, enzymatic, or optical analysis. [0081]
  • Analytes that can be measured using the methods of the present invention include, but are not limited to, amino acids, enzyme substrates or products indicating a disease state or condition, other markers of disease states or conditions, drugs of abuse (e.g., ethanol, cocaine), therapeutic and/or pharmacologic agents (e.g., theophylline, anti-HIV drugs, lithium, anti-epileptic drugs, cyclosporin, chemotherapeutics), electrolytes, physiological analytes of interest (e.g., urate/uric acid, carbonate, calcium, potassium, sodium, chloride, bicarbonate (CO[0082] 2), glucose, urea (blood urea nitrogen), lactate and/or lactic acid, hydroxybutyrate, cholesterol, triglycerides, creatine, creatinine, insulin, hematocrit, and hemoglobin), blood gases (carbon dioxide, oxygen, pH), lipids, heavy metals (e.g., lead, copper), and the like. Analytes in non-biological systems may also be evaluated using the methods of the present invention.
  • In preferred embodiments, the analyte is a physiological analyte of interest, for example glucose, or a chemical that has a physiological action, for example a drug or pharmacological agent. [0083]
  • In order to facilitate detection of the analyte, an enzyme (or enzymes) can be disposed within the one or more collection reservoirs. The selected enzyme is capable of catalyzing a reaction with the extracted analyte to the extent that a product of this reaction can be sensed, e.g., can be detected electrochemically from the generation of a current which current is detectable and proportional to the amount of the analyte which is reacted. In one embodiment of the present invention, a suitable enzyme is glucose oxidase, which oxidizes glucose to gluconic acid and hydrogen peroxide. The subsequent detection of hydrogen peroxide on an appropriate biosensor electrode generates two electrons per hydrogen peroxide molecule creating a current that can be detected and related to the amount of glucose entering the device. Glucose oxidase (GOx) is readily available commercially and has well known catalytic characteristics. However, other enzymes can also be used singly (for detection of individual analytes) or together (for detection of multiple analytes), as long as they specifically catalyze a reaction with an analyte or substance of interest to generate a detectable product in proportion to the amount of analyte so reacted. [0084]
  • In like manner, a number of other analyte-specific enzyme systems can be used in the invention, which enzyme systems operate on much the same general techniques. For example, a biosensor electrode that detects hydrogen peroxide can be used to detect ethanol using an alcohol oxidase enzyme system, or similarly uric acid with urate oxidase system, cholesterol with a cholesterol oxidase system, and theophylline with a xanthine oxidase system. [0085]
  • In addition, the oxidase enzyme (used for hydrogen peroxidase-based detection) can be replaced or complemented with another redox system, for example, the dehydrogenase-enzyme NAD-NADH, which offers a separate route to detecting additional analytes. Dehydrogenase-based sensors can use working electrodes made of gold or carbon (via mediated chemistry). Examples of analytes suitable for this type of monitoring include, but are not limited to, cholesterol, ethanol, hydroxybutyrate, phenylalanine, triglycerides, and urea. [0086]
  • Further, the enzyme can be eliminated and detection can rely on direct electrochemical or potentiometric detection of an analyte. Such analytes include, without limitation, heavy metals (e.g., cobalt, iron, lead, nickel, zinc), oxygen, carbonate/carbon dioxide, chloride, fluoride, lithium, pH, potassium, sodium, and urea. Also, the sampling system described herein can be used for therapeutic drug monitoring, for example, monitoring anti-epileptic drugs (e.g., phenytoin), chemotherapy (e.g., adriamycin), hyperactivity (e.g., ritalin), and anti-organ rejection (e.g., cyclosporin). [0087]
  • Preferably, a sensor electrode is able to detect the analyte that has been extracted into the one or more collection reservoirs when present at nominal concentration levels. Suitable exemplary biosensor electrodes and associated sampling systems as described in are described in PCT Publication Nos. WO 97/10499, published Mar. 20, 1997 and WO 98/42252, published Oct. 1, 1998, both herein incorporated by reference herein. [0088]
  • A single sensor may detect multiple analytes and/or reaction products of analytes. For example, a platinum sensor could be used to detect tyrosine and glucose in a single sample. The tyrosine is detected, for example, by direct electrochemical oxidation at a suitable electrode potential (e.g., approximately 0.6V vs. Ag/AgCl). The glucose is detected, e.g., using glucose oxidase and detecting the hydrogen peroxide reaction product. [0089]
  • Different sensing devices and/or sensing systems can be employed as well to distinguish between signals. For example, a first gel containing glucose oxidase associated with a first platinum sensor can be used for the detection of glucose, while a second gel containing uricase associated with a second platinum sensor can be used for the detection of urea. [0090]
  • 2.2.0 Application of Frequent Analyte Monitoring [0091]
  • Many disease states and conditions will benefit from frequent monitoring of glucose and, optionally, one or more additional analytes. Non-limiting examples of such disease states and conditions that will benefit from frequent monitoring of glucose levels, include hyperglycemia; hypoglycemia; cystic fibrosis; AIDS; organic and amino acid disorders; cancer remission; as well as patients with cardiovascular disease; stroke patients; gestational diabetes; organ transplant recipients; those infected with Candida, HIV or malaria; elderly patients; kidney patients; young children; long-distance drivers; intense exercisers; subjects on a weight loss program or other special diet; subjects receiving growth hormone; and alcoholics. Furthermore, monitoring of glucose levels will also be beneficial in determining the effects of one or more pharmaceutical compositions on glucose levels or concentrations in a biological subject. In the present invention, at least one of the pharmaceutical compositions whose effect on glucose levels is monitored does not contain insulin. [0092]
  • 2.2.1 Hyperglycemia [0093]
  • Hyperglycemia refers to excessive levels of blood glucose in a subject. The primary form of hyperglycemia is diabetes mellitus (DM), which is hyperglycemia secondary to decreased insulin where either production of insulin is decreased or peripheral tissue resistance to insulin is increased. Insulin-dependent DM (IDDM, or type I DM) accounts for about 10% of DM cases and usually occurs in childhood or early adulthood. Type I DM can result in ketoacidosis when patients are without insulin therapy. Non-insulin dependent DM (NIDDM, or type II DM) usually occurs in people >40 years of age, and about 60% of the patients are obese. Type II DM can also occur in animals, for example, domestic cats. These patients are not prone to ketosis but may develop it under conditions of stress. Gestational onset DM (GODM) occurs when diabetes onset is during pregnancy and resolves with delivery. These patients are at a higher risk for developing DM at a later date. Secondary DM can be caused, for example, by steroid therapy, Cushing's syndrome, pancreatectomy, pancreatic insufficiency secondary to pancreatitis, or endocrine disorders. The Diabetes Control and Complications Trial Group reported that the long-term complications of DM appear to be directly related to control of blood glucose levels. Thus, the conclusion of the study was that intensive therapy delays the onset and slows the progression of diabetic retinopathy, nephropathy, and neuropathy in patients with IDDM. Other studies have shown the same conclusions in NIDDM. Thus, frequent monitoring of blood glucose levels is an important tool for both diagnosing and determining appropriate therapy for many conditions associated with abnormal glucose levels. [0094]
  • 2.2.1.1. Dysglycemia and Cardiovascular Disease [0095]
  • Recent research has found a connection between dysglycemia, or abnormal glucose levels, and risk factors (e.g., atherosclerosis and hypertension) for cardiovascular disease (see, for example, Gerstein H C, Yusuf S (1996) [0096] Lancet 347(9006): 949-950; Gerstein H C, Yusuf S (1998) Diabetes Research and Clinical Practice 40 Suppl: S9-S14; Meigs J B, Nathan D M et al. (1998) Ann Intern Med 128(7): 524-533; Tsai S T, Li C L et al. (2000) J Clin Epidemiol. 53(5): 505-510). For instance, atherosclerotic changes appear to develop in non-diabetic individuals with impaired glucose tolerance (see, e.g., Kawamori, R (1998) Diabetes Res Clin Pract 40 Suppl: S35-S42; Yamasaki Y, Kawamori R et al. (1995) Diabetologia 38(5):585-591). Similarly, hypertension is also associated with impaired glucose tolerance (Vaccaro et al. (1996) Diabetologia 39:70-76). At a molecular level, studies have shown a connection between a deletion polymorphism in the antigotensis-converting enzyme (ACE) gene (which is related to cardiovascular disease) and elevated plasma glucose levels after oral glucose load (Ohishi et al. (2000) Clin Exp Pharmacol Physiol 27:483-487). Further, high blood glucose concentration (in both diabetic and non-diabetic patients) increases the risk of death and poor outcome after acute myocardial infarction and significantly increases the mortality rate from cardiovascular disease (see, e.g., Capes et al. Lancet (2000) 355(9206):773-778; Feskens E J & Kromhout D (1992) J Clin Epidemiol 45(11): 1327-34 and Bjornholt et al. (1999) Diabetes Care 22(1): 45-49).
  • The risk of heart disease associated with hyperglycemia increases continuously across the spectrum of glucose tolerance categories, from those that are just barely above normal to those in the diabetic range. Generally speaking, as blood glucose levels increase, so does the likelihood that an individual will experience cardiovascular disease. (see, e.g., Temelkova-Kurktschiev et al. (2000) [0097] Exp Clin Endocrinol Diabetes 108:93-99). This relationship is similar to the relationship between smoking and blood pressure to cardiovascular risk.
  • Thus, monitoring and controlling blood glucose levels in individuals with a family or personal history of heart disease allows these subjects to reduce the risk of cardiovascular problems. Further, in certain embodiments, it will also be useful to monitor levels of glucose, cholesterol, triglycerides and/or therapeutic drugs used to treat high cholesterol, hypertension or the like. [0098]
  • 2.2.1.2 Glucose Tolerance, Diabetes Onset and Cystic Fibrosis [0099]
  • It is estimated that approximately 50,000 individuals in the U.S. and Canada suffer from cystic fibrosis. One well-known complication of this disease is cystic fibrosis-related diabetes (CFRD) (Finkelstein S M & Wielinski C L (1988) [0100] J Pediatr 112(3): 373-377; Handwerger S, Roth J et al. (1969) N Engl J Med 281(9): 451-461). CFRD appears to be grossly underestimated in the U.S., probably due to the lack of routine oral glucose tolerance tests (see, e.g., Hardin D S & Moran A (1999) Endocrinol Metab Clin North Am. 28(4): 787-800). CFRD incidence has also increased as the life-spans of cystic fibrosis patients increase. In a 10 year study of CFRD, Cucinotta D, De Luca F et al. (1999) Acta Paediatr 88(4): 389-393 found that impaired glucose tolerance was the sole predictor of whether patients will develop CFRD.
  • Thus, frequent monitoring of blood glucose levels in cystic fibrosis patients will allow clinicians to detect diabetes earlier than was previously possible. Moreover, monitoring of trends in blood glucose levels can help identify groups who are prone to develop diabetes. In addition to monitoring glucose, the levels of chloride, sodium, and/or therapeutic drugs used to treat CF may also be monitored. [0101]
  • 2.2.1.3 Abnormal Blood Glucose Levels in Stroke, Ischemia, Brain Injury, Head Injury, and Spinal Cord Injury [0102]
  • Hyperglycemia following acute stroke is strongly associated with subsequent mortality, impaired neurological recovery and brain lesions in diabetic and non-diabetic patients (Sala et al. (1999) [0103] Ann NY Acad Sci 890:133-154; Weir C J, Murray GD et al. (1997) BMJ 314(7090): 1303-1306; Gray C S, Taylor R et al. (1987) Diabet Med 4(3): 237-40; Guyot et al. (2000) Horm Metab Res. 32:6-9; Hayahi (2000) No To Hattatsu 32:122-131; Rovlias and Kotsou (2000) Neurosurgery 46:335-342). Furthermore, between 20% and 50% of acute stroke patients are hyperglycemic at presentation. As a result, it is of increasing interest to study the effects of modulating blood glucose levels in stroke patients, for example by administering glucose potassium insulin (GKI) to these patients (Scott J F, Robinson G M et al. (1999) Stroke 30(4): 793-799; Scott J F, Gray C S et al. (1998) Q J Med 91(7): 511-515; Hennes et al. (1999) Anaesthesist 48:858-870; Schurr et al. (1999) Ann NY Acad Sci 893:386-390).
  • Thus, frequent monitoring blood glucose levels in stroke patients can allow clinicians to detect abnormal glucose levels at an early time and early treatment may reduce mortality and improve neurological outcomes. [0104]
  • 2.2.1.4 Hyperglycemia Associated with Organ Transplantation [0105]
  • Impaired glucose tolerance or DM are also frequent complications after organ transplantation, in both human leukocyte antigen (HLA) matched and mismatched patients. For example, liver transplant recipients have been shown to have severe post-prandial hyperglycemia, which may be attributed to insulinpoenia and a late increased glucose turnover (Schneiter et al. (2000) [0106] Diabetes Metab 26:51-56; Petruzzo et al. (2000) Diabetes Metab 26:215-218). Similarly, in the context of grafts, Trick et al. (2000) J Thorac Cardiovasc Surg 119:108-114 report that appropriate control of preoperative blood glucose levels appears to help prevent deep sternal site infection after coronary artery bypass graft operations. Accordingly, frequent monitoring of blood glucose levels before and after transplant (e.g., organ transplant and grafts) is part of the present invention. Furthermore, multiple analytes in these subjects (e.g., glucose, an immunosuppressive drug, etc.) can also be measured.
  • 2.2.1.5 Hyperglycemia Associated with Candida Infection [0107]
  • Chronic or repeated infection with Candida (e.g., vulvovaginal candidiasis and congenital cutaneous candidiaseis in infants) is a widespread problem in both immunocompetent and immunosuppressed patients. A known etiology of recurrent candidiasis is hyperglycermia, see, e.g., Ringdahl (2000) [0108] Am Fam Physician 61:3306-3312. Further, because many patients experience recurrent Candida infections once prophylaxis is discontinued, long-term therapy may still be warranted. Therefore, frequent monitoring of blood glucose level is useful in subjects suffering from chronic or repeated infection with Candida.
  • 2.2.1.6 Diet-induced Hyperglycemia [0109]
  • Diet can also induce hyperglycemia in certain subjects. Diets high in carbohydrates and/or fat have been associated with development of insulin resistance and perturbed carbohydrate and lipid metabolism and leptin has been proposed as a treatment for diet induced hyperglycemia and insulin resistance (Buettner et al. (2000) [0110] Am J Physiol Endocrinol Metab 278:E563-9). Thus, in addition to allowing a subject to quickly and easily monitor blood glucose levels, the present invention allows for the monitoring of additional analytes, for example, leptin.
  • 2.2.1.7 HIV-related Hyperglycemia [0111]
  • The present invention will also find use in evaluating and determining treatment regimes for human immunodeficiency virus (HIV)-infected patients, particularly those patients currently receiving protease inhibitors. Although protease inhibitors have proven to be very useful in treating HIV infection in certain patients, these drugs often exhibit glucose-related side effects, including, for example, hyperglycemia, new-onset diabetes mellitus, lipodystrophic syndrome, central obesity, peripheral fat loss, and hyperlipidemia, Scevola et al. (2000) [0112] AIDS Read 10:365-369; 371-375; Mathe (1999) Biomed Pharmacother 53:449-451. Accordingly, all patients receiving protease inhibitors should be monitored for blood glucose levels.
  • 2.2.1.8 Geriatric Hyperglycemia [0113]
  • The prevalence of hyperglycemia in elderly persons (e.g., greater than 60 years of age) is high and is significantly associated with cardiovascular risk factors such as obesity, high systolic pressure and hypertriglyceridemia, see, above and Lai et al. (2000) [0114] J Gerontol A Biol Sci Med 55:M255-256. Hyperglycemia is also more common elderly trauma patients and in those elderly patients exhibit hostility, Frankenfield et al. (2000) J Trauma 48:49-56. Thus, is useful to monitor glucose levels in these in elderly patients.
  • 2.2.1.9 Hyperglycemia in Neonates and Children [0115]
  • Transient hyperglycemia that occurs as a part of the stress response in acute illnesses can cause serious complications in infancy and childhood, Gupta et al. (1997) [0116] Indian J Pediatr 64:205-210. For example, non-ketotic hyperglycemia (NKH) in infancy and childhood can cause serious complications, for example, hydrocephalus requiring shunting and subsequent brain damage, Van Hove et al. (2000) Neurol 54:754-756. Thus, frequent monitoring of glucose (and, optionally, other analytes, such as ketones) is useful in young children.
  • Further, there are numerous reports of transient neonatal diabetes (Menon, P.S., et al., Indian J Pediatr 67(6):443-448, 2000; Shield, J. P., Horm Res 53(Suppl. 1):7-11, 2000; Stanley, C. A., Pediatr Clin North Am 44(2):363-374, 1997; Wilson, S., Nurs Times 87(36):44-45, 1991). There are numerous causes that are thought to contribute to such transient neonatal diabetes, including, but not limited to, chromosomal abnormality, genotypic effects, and/or imprinting (Varrault, A., et al., J Biol Chem 276(22)18653-18656, 2001; Marquis, E., et al., Tissue Antigens 56(3):217-222, 2000; Gardner, R. J., et al., Hum Mol Genet 9(4):589-596, 2000; Kamiya, M., et al., Hum Mol Genet 9(3):453-460, 2000; Shield, J. P., et al., Arch Dis Child Fetal Neonatal Ed 76(1):F39-42, 1997), treatments (e.g., drug treatments to mother and/or neonate) (Moniaci, V. K., et al., J Perinat Neonatal Nurs 11(4):60-64, 1998; Uhrig, J. D., et al., Can Med Assoc J 128(4):368-371, 1983; Bomba-Opon, D. A., et al., Ginekol Pol 71(8):887-892, 2000; Yunis, K. A., et al., Am J Perinatol 16(1):17-21, 1999), nutrition (Barker, D. J., Nutrition 13(9):807-813, 1997), and disease states (e.g., in the mother and/or neonate) (Ahlfors, K., et al., Scand J Infect Dis. 31(5):443-457, 1999; Lorenzi, P., et al., AIDS, Dec. 24, 12(18):F241-247, 1998; Cooper, L. Z., Rev Infect Dis 7(Suppl. 1):S2-10, 1985). In addition, babies born before term may have glucose metabolism abnormalities (Gross, T. L., et al., Am J Obstet Gynecol 146(3):236-241, 1983; Lackman, F., Am J Obstet Gynecol 184(5):946-953, 2001). [0117]
  • Thus, frequent monitoring of glucose (and, optionally, other analytes, such as drug levels) is useful in neonates and premature neonates to reduce possible short- and/or long-term damage caused by low, high, or fluctuating glucose levels, as well as to increase probability of survival. [0118]
  • 2.2.1.10 Hyperglycemia Associated with Intense Exercise [0119]
  • During intense exercise, fluctuations in the levels of various analytes, for example glucose, hormones, etc., has been shown to occur, Kreisman et al. (2000) [0120] Am J Physiol Endocrinol Metab 278:E7860793. Commonly, subjects who exercise intensely can become hyperglycemic. Marliss et al. (2000) J Appl Physiol 88:457-66. Accordingly, monitoring the level of glucose and/or other analytes such as hormones aids in regulating exercise intensity and/or intake of food or fluids during exercise.
  • 2.2.2 Hypoglcemia [0121]
  • Hypoglycemia refers to decreased levels of glucose in plasma, or below normal levels. Although hypoglycemic subjects may be asymptomatic, many exhibit adrenergic stimulation symptoms including diaphoresis, anxiety, irritability, palpitations, tremor, and hunger. Hypoglycemic events may also occur during the night-time (nocturnal hypoglycemia), for example, when a person is sleeping, thus vulnerable to continuing decreases in levels of glucose in plasma. Severe hypoglycemia may cause confusion, visual blurring, loss of consciousness and seizures. Typically, hypoglycemia occurs about 2 to 4 hours postprandially and generally subsides in 15 to 20 minutes. The etiology of hypoglycemia is often idiopathic, but may be caused by early diabetes, malignancies of the pancreas, benign tumors of the pancreas, general hypertrophy of the pancreas without evident disease, alcohol intake and liver disease (decreased gluconeogenesis), gastrectomy, renal failure, drugs such as salicylates, beta-blockers, pentamidine, acetylcholine esterase (ACE) inhibitors, excess insulin including insulinoma, self-administered insulin or oral hypoglycemic agents; pituitary or adrenal insufficiency. [0122]
  • Clinicians are generally most concerned with functional or idiopathic hyperinsulinism, the most common type of which is caused by excessive intake of refined sugars, caffeine, emotional stress or a combination of these factors with sugar and caffeine compounded in their effects through a condition of stress. The Islets of Langerhans in the pancreas are over-stimulated by constant bombardment of refined sugar and caffeine producing greater amounts of insulin than required to metabolize the circulating blood sugar, thus keeping blood sugar levels lower than normal except for a very short time after ingestion of food. Eventually any sugar, good, bad, or indifferent, will trigger the pancreas to secrete excessive amounts of insulin. The liver is also heavily involved in this mechanism as it controls reconversion of stored glycogen into glucose for distribution in the blood stream. In addition, all the endocrine glands are linked in a dynamic balance to compensate for any deviation of blood sugar levels so that the brain and nervous system are never for an instant deprived of necessary amounts of blood sugar needed for their normal activity. This balance is upset by stress and symptoms such as anxiety, irritability, fear, sweating, flushing or pallor, numbness, chills, headaches, dizziness, weakness and faintness are common. However, the most obvious symptoms are excessive hunger just about all the time and great fatigue and weakness. Thus, hypoglycemia is an important medical issue and frequent monitoring of glucose levels is useful to a wide variety of subjects. [0123]
  • 2.2.2.1 Hypoglycemia and Eating Disorders [0124]
  • Hypoglycemia can occur in individuals with anorexia nervosa (Alvin et al (1993) [0125] Arch Fr Pediatr 50(9): 755-762; Ron Waldrop, M D “Anorexia Nervosa” From emedicine.com on the Internet and bulimia nervosa (Johnson et al. (1994) Int J Eat Disord 15(4): 331-341; Overduin J & Jansen A (1997) Physiol Behav 61(4): 569-575). In bulimic patients following purging of a meal, there is a dramatic reduction in insulin and glucose (Johnson et al., above). Because of the correlation between hypoglycemia and hunger, the hypoglycemia that results from purging may be partially responsible for continued binging and purging. Thus, monitoring blood glucose levels in patients with eating disorders can assist therapists in treating them, and can also help patients understand physiological processes that contribute to their problems.
  • 2.2.2.2 Hypoglycemia and Pentamidine Therapy [0126]
  • Pentamidine is an effective agent for treating [0127] Pneumocystis carinii pneumonia in HIV-infected patients, the hemolymphatic stage of Gambian trypanosomiasis, and antimony-resistant leishmaniasis. Iatrogenic hypoglycemia occurs in one-quarter to one-third of HIV-infected patients treated with this drug, and it can become severe and even life-threatening, Andersen et al. (1986) Drug Intell Clin Pharm 20(11): 862-868; Stahl-Bayliss et al. (1986) Clin Pharmacol Ther 39(3): 271-5; Chan et al. (1996) Drug Saf 15(2): 135-157. Thus, frequent monitoring of the levels of blood glucose and, optionally, other analytes (e.g., pentadiene), in HIV-infected patients receiving pentamidine therapy will reduce the risk of nosocomial infections in them, and will reduce the risk of HIV transmission to needle-stick performing hospital personnel.
  • 2.2.2.3 Hypoglycemia and Disease States [0128]
  • Many organic and amino acid disorders are also correlated with hypoglycemia, for example acidemias that involve the oxidation of fatty acids (Ozand et al. (2000) [0129] Semin Perinatol 24:172-193); Beckwith-Wiedemann syndrome (DeBaun et al. (2000) Semin Perinatol 24:164-171); glycogen storage diseases (Wolfsdorf et al. (1999) Endocrinol Metab Clin North Am 28:801-823; carbohydrate-deficient glycoprotein syndrome (Babovic-Vuksanovic et al. (1999) J Pediatr 135:775-781; hypopituitarism (Nanao et al. (1999) Acta Paediatr 88:1173; and mitochondrial respiratory chain disorders (Morris (1999) Liver 19:357-368).
  • Glycogen storage diseases (glycogenoses) are a group of hereditary disorders that result from a lack of at least one enzyme involved in glycogen synthesis or breakdown. The result is accumulation of glycogen in tissues. According to the Merck Manual (16[0130] th edition), hypoglycemia can be a severe problem in some of these glycogen storage diseases, for example, Type 0 (enzyme system affected, glycogen synthetase), Type Ia (enzyme system affected, glucose-6-phosphatase), Type Ib (enzyme system affected, glucose-6-phosphatase translocase), Type III (enzyme system affected, debrancher enzyme system), Type VI (enzyme system affected, liver phosphorylase). Patients with glycogen storage disorders must follow strict diets (in order to avoid hypoglycemia and other problems) and must monitor their blood glucose levels (see, Wolfsdorf, et al., above).
  • Thus, frequent monitoring of glucose levels non-invasively in these patients will likely improve their clinical outcomes and simplify their lives significantly. [0131]
  • 2.2.2.4 Hypoglycemia and Alcoholism [0132]
  • Hypoglycemia is a common adverse effect of alcoholism, and it occurs in up to 95% of alcoholics, Bunout (1999) [0133] Nutrition 15(7-8): 583-589. Hypoglycemia due to excessive alcohol ingestion can be severe, and alcoholics are usually glucose intolerant as well, Kearney et al. (2000) J R Soc Med 93:15-17. This condition is most likely due to an inhibition of glucose-stimulated insulin secretion. Frequent, non-invasive monitoring of blood glucose levels and/or other analytes such as alcohol can treat alcoholics by allowing them to see clinical improvements in their blood sugar levels, or to allow them to see the extent to which alcohol abuse has damaged an important metabolic process.
  • 2.2.2.5. Hypoglycemia and Long Distance Driving Performance [0134]
  • Long distance drivers often experience hypoglycemia. Further, the fatigue associated with hypoglycemia and the resulting possibility that these drivers may fall asleep at the wheel is a potential hazard, Frier (2000) [0135] Diabetes Care 23:148-150; Marrero et al. (2000) Diabetes Care 23:146-147. Long distance driving and associated risks are most frequently associated with long-haul trucker drivers (N Engl J Med. 1997 September 11;337(11):755-761). Long distance driving is, for example, sustained driving with little or no rest for 5 to 10 hours or more. Typical “long-haul” trucker drivers may drive from 10 to 15 hours at a time. The California Department of Motor Vehicles suggests a ten minute rest after even just two hours of driving. Frequent monitoring of glucose levels will allow long distance drivers to more adequately determine food and/or fluid intake. This in turn will decrease the risks posed by poor driving performance caused by hypoglycemia.
  • 2.2.2.6 Hypoglycemia and Renal Failure [0136]
  • Hypoglycemia and its accompanying complications occur frequently in both diabetic and non-diabetic end stage renal failure (ESRF) patients, Haviv et al. (2000) [0137] Ren Fail 22:219-223. Accordingly, using the methods described herein, ESRF patients can benefit from frequent, periodic monitoring of glucose and/or other analyte levels (e.g., glucose and liver enzymes).
  • 2.2.2.7 Hypoglycemia, Neonates, and Children [0138]
  • Hypoglycemia can cause severe problems in infants or children, including for example mild to severe brain damage (Kinnala et al. (2000) [0139] Semin Perinatol 24:116-119;Frey et al. (2000) Scweiz Zmed Wochenschr 130:151-155; Hawdon (1999) Eur J Pediatr 158 Suppl 1:S9-S12; see, also, Section 2.2.3 below). Because hypoglycemia can occur if feeding is postponed more than 12 to 24 hours post-partum, there remains a need for frequent and close clinical observation of neonates and other vulnerable children while avoiding excessively invasive management that may interfere with feeding. Thus, the present invention provides frequent monitoring of glucose levels and, optionally, the levels of other analytes which may signal neonatal distress, such as ketones.
  • 2.2.2.8 Hypoglycemia and Growth Hormone Therapy [0140]
  • Growth hormone (GH) therapy has been recommended for short stature children and for hypoglycemias due to growth hormone deficiency. Increasingly, growth hormone therapy is also recommended for adults with growth hormone deficiency following pituitary tumor surgery or irradiation (Dash, et al., J. Assoc Physicians India 47:417-425, 1999). Further, the insulin tolerance test (ITT) is widely accepted as the method of choice to evaluate growth hormone secretion capacity in adults with hypothalamic-pituitary disorders, Hoeck, et al. (2000) [0141] J Clin Endocrinol Metab 85:1467-1472. Thus, the present invention can be used in both adults and children to monitor the levels of various analytes (e.g., glucose and/or growth hormone).
  • 2.2.2.9 Hypoglycemia and Cancer Remission [0142]
  • Under most circumstances, tumors growth rapidly when the blood glucose supply is high and grow slowly when blood glucose supply is low. In cases of spontaneous remissions, tumors appear to grow rapidly and steadily despite low blood glucose and, consequently, the tumor system collapses and is removed by the immune system. It has been suggested that remission may be induced if hypoglycemia is initiated just prior to reducing the tumor mass and then maintaining the hypoglycemic state, Niakan (1999) [0143] Cancer Biother Radiopharm 14:297-298. In such regimes, the present invention can be used to monitor blood glucose levels to help the subject remain hypoglycemic during the critical period.
  • 2.2.2.10 Hypoglycemia and Malaria [0144]
  • Severe malaria often presents with hypoglycemia, Agbenyega et al. (2000) [0145] J Clin Endorcrinol Metab 85:1569-1576. Furthermore, because hypoglycemia is a frequent complication of quinine therapy for malaria, frequent blood sugar estimations are required in treating malaria or quinine toxicity, Padmaja et al. (1999) Indian J Med Sci 53:153-157. Thus, the ability to monitor glucose and/or quinine levels is useful in relation to diagnosis and treatment of malaria.
  • 2.2.2.11 Drug Treatment Related Hypoglycemia [0146]
  • As noted above, hypoglycemia is present in many diseases. One cause of hypoglycemia appears to be related to drug therapy, Virally et al. (1999) [0147] Diabetes Metab 25:477-490. For instance, saquinavir, a treatment for HIV, induces hypoglycemia in Type II diabetes (see, Zimhony and Stein (1999) Ann Intern Med 131:980), while indomethacin, a drug used to arteriosus in premature infants, also induces hypoglycemia. Consequently, frequent monitoring of analytes (e.g., glucose and/or the therapeutic drug) in these individuals is part of the present invention.
  • 2.2.2.12 Hypoglycemia, Brain Injury and Stroke [0148]
  • As noted above, brain injury can be a serious complication of hypoglycemia. de Courten-Meyers et al. (2000) [0149] J Cereb Blood Flow Metab 20:82-92; Losek (2000) Ann Emerg Med 35:43-46. There is also strong evidence that severe hypoglycemia can worsen the prognosis in acute stroke. Nagi et al. (1999) Nervenarzt 70:944-949. To determine appropriate treatment options, routine and rapid assessment of analytes such as glucose is recommended.
  • 2.2.2.13 Hypoglycemia and Endurance Exercise and Training [0150]
  • Performance in endurance events requires an adequate supply of nutrients such as glucose. Thus, performance is optimized when training includes monitoring of glucose and other analyte levels combined with nutritional supplementation to prevent hypoglycemia, Coyle (1999) [0151] J Sci Med Sport 2:181-189.
  • 2.2.2.14 Severe Hypoglycemia [0152]
  • Some individuals may experience recurrent bouts of severe hypoglycemia. Because such episodes of hypoglycemia may cause severe complications, it is recommended that individuals with a recent history of severe hypoglycemia better recognize the occurrence of low blood glucose. Cox et al. (1999) [0153] Diabetes Care 22:2018-2025. The present invention provides a fast and efficient way for these individuals to monitor glucose levels.
  • 2.2.3 Pregnancy and Gestational Diabetes [0154]
  • Dysglycemia during pregnancy can cause severe problems for both mother and fetus, see, e.g., Schafer-Graft et al. (1999) [0155] Ther Umsch 56:572-576. For diabetic mothers who become pregnant, close monitoring and tight control of blood glucose levels during the first 9 weeks of pregnancy helps reduce the incidence of birth defects, Schwartz et al. (2000) Semin Perinatol 24:120-135.
  • In approximately 4% of women, pregnancy will induce “gestational diabetes” or “insulin resistance” in women who have never had diabetes before but who have high blood sugar levels during pregnancy. Without enough insulin, the mother become hyperglycemic and is more likely to become hypertensive, Bartha et al. (2000) [0156] Am J Obstet Gynecol 182:346-350. In addition to the problems this causes the mother, hyperglycemia and hypertension also place the fetus at risk for serious complications. The high maternal levels of glucose are able to cross the placenta, which causes the fetus's pancreas to make extra insulin to metabolize the blood sugar and can lead to macrosomia (alternately called a “fat” baby, or a “big bad baby” (BBB)). Babies with macrosomia face health problems of their own, including damage to their shoulders during birth; breathing problems and hypoglycemia after birth because of their own increased insulin production, Schwartz et al., above. Further, babies with excess insulin become children who are at risk for obesity and adults who are at risk for type 2 diabetes.
  • Currently, treatment of diabetes during pregnancy is geared toward keeping blood sugar levels below hyperglycemic levels using special meal plans, scheduled physical activity and, if necessary, insulin injections. Monitoring of blood glucose levels after meals is also recommended. Recently, however, it has been suggested that overzealous control of hyperglycemia in pregnancy may lead to hypoglycemic episodes for the mother, Rosenn et al. (2000) [0157] J Matern Fetal Med 9:29-34. As noted above, maternal hypoglycemia is associated with a variety of problems for the fetus including intrauterine growth retardation, high rates of gestational age-specific neonatal mortality, long term cognitive deficits, increased risk of coronary artery disease, diabetes and hypertension as an adult, Rosenn et al., above. Thus, ideally, blood sugar levels during pregnancy are controlled such that the mother is neither hypoglycemic nor hyperglycemic. Using the methods described herein, which allow for frequent monitoring of blood glucose levels, allows for frequent evaluation of blood glucose levels so that the mother can take appropriate action when either hyperglycemia or hypoglycemia are imminent.
  • 2.2.4 Weight Management [0158]
  • Obesity is a major health problem in many countries and is associated with an increased risk for heart disease, certain cancers and development of Type II diabetes. According to the Centers for Disease Control's (CDC's) National Center for Health Statistics, 54% of adult Americans and between 11% and 14% of children were overweight in 1997, as determined using the Body Mass Index scale, which defines classes of non-obesity and obesity. According to guidelines proposed by the World Health Organization, individuals whose BMI is greater than 25 kg/m[0159] 2 are Grade 1 overweight. Those whose BMI is greater than 30 kg/m2 are Grade 2 overweight, or obese, and individuals with a BMI greater than 40 kg/m2 are Grade 3 overweight, or morbidly obese (Kopelman (2000) Nature 404: 635-643).
  • According to the CDC, the average American woman is 5′3¾″ tall, weighs 152 pounds, and has a BMI slightly greater than 26. A woman of the same height, but whose weight was 231 pounds, would have a BMI of 40 kg/m[0160] 2. As a person's body mass index increases past 30 kg/m2, the risk of acquiring type 2 diabetes increases sharply. The relative risk of developing type 2 diabetes increases with increasing Body Mass Index (BMI). BMI is measured in kg/m2. Accordingly to Kopelman (Nature 404:635-643, 2000), obesity is now so common within the world's population that it is beginning to replace under-nutrition and infectious diseases as the most significant contributor to ill health. Obesity is associated with diabetes mellitus, coronary heart disease, certain forms of cancer, and sleep-breathing disorders. Obesity is generally defined by a body-mass index (weight divided by square of the height) of 30 kg/m−2 or greater. This degree of obesity takes into account neither the morbidity/mortality associated with more modest degrees of a person (or animal) being overweight, nor the detrimental effect of intra-abdominal fat.
  • Thus, impaired glucose tolerance is a clear risk factor for [0161] type 2 diabetes. A survey of American adults performed by the World Health Organization found impaired glucose tolerance in 10%-15% of the study populations. According to the Merck Manual (17th edition), weight loss and exercise are part of the recommended standard treatment for patients with impaired glucose tolerance or type 2 diabetes, and the condition can resolve following weight loss. Furthermore, a recent study correlated weight loss in patients with impaired glucose tolerance and determined that weight loss can also prevent type 2 diabetes from developing in the first place (Eriksson J et al. (1999) Diabetologia 42(7): 793-801).
  • One weight loss program involves eating meals that balance the amounts of protein, fat and carbohydrate. See, e.g. Dr. Barry Sears, [0162] Enter the Zone (1995), Regan Books. This diet, which is similar to that suggested for diabetic patients, seeks to maintain blood glucose levels within specified ranges by limiting the amount of carbohydrate and fat intake and “balancing” fats and carbohydrates with proteins. Thus, frequent monitoring of blood glucose levels allows subjects following this diet to determine which foods (and what combinations of foods) to eat at what times so they maintain specified blood glucose levels that are neither hyperglycemic nor hypoglycemic.
  • In sum, using the methods described herein provides an excellent means for (1) demonstrating the need to reduce weight; (2) providing instant evidence of the deleterious effects of obesity; and (3) aiding dieters to monitor blood glucose levels and maintain normal levels by eating appropriately. Isolated finger stick procedures performed during occasional medical exams will most likely not have such an impact. Frequent reminders—be they weekly, monthly, daily or more—of abnormal blood glucose levels, in addition to a thorough education on the potential complications of the condition, will stand a greater chance of inspiring change. The methods described herein can be applied to weight gain, or weight maintenance as well. [0163]
  • Accordingly, in one aspect of the present invention a range of glucose values can be established for a subject based on desired blood glucose levels directed to the desired goal, for example, weight management. Alerts can be set in the glucose monitoring device to be activated when blood sugar levels falls below, or rise above, lower and upper limits (respectively) of the predetermined range. Such alerts provide an on-going assessment of the subject's glucose consumption and production, as well as rates and amounts thereof. Frequent and periodic monitoring of changes in the plasma or blood glucose in a subject provides information to the subject and/or health care profession (e.g., physician, dietician, etc.) that allows optimization of a food plan to suit the particular needs of the subject (for example, weight loss or weight gain). [0164]
  • An appropriate reference range of glucose values (i.e., a low and high threshold value) is typically determined by a trained, health-care professional. Such a reference range may also include a preferred average glucose value, as well as a preferred range of variation around the average value. Such a determination of reference glucose range is typically based on current physical characteristics of the subject (including, but not limited to, body mass index, percentage body fat, hydration level, etc.) and the subject's goal for weight management (i.e., gain, loss, or maintenance). This reference range is then entered into the glucose monitoring device typically with alerts set at the high and low threshold values. One or more microprocessor component of the glucose monitoring device typically includes an algorithm to maintain a record of all subject glucose values determined by the glucose monitoring device. A memory component of the glucose monitoring device may also store related information entered by a subject, such as, times and amounts of exercise, amounts and types of food, etc. Alternatively, such information may be entered into a system that interfaces with the glucose monitoring device, such as, a personal computer (PC), pocket PC, personal digital assistant (PDA, e.g., Palm Pilot™ (Palm Inc., Santa Clara, Calif.)). [0165]
  • Accordingly, a record of glucose levels obtained by frequent sampling (for example, the GlucoWatch biographer provides approximately 3 glucose readings per hour) is developed. Typically, a subject enters the time of meals, snacks, or caloric intake and/or output, in order to keep track of glucose levels relative to such events. Regardless of the subject's inputted information, however, the glucose monitoring device alerts the subject to glucose levels outside of the predetermined range. One set of distinctive alerts may be associated with a low threshold glucose level in order to alert the subject to, for example, consume a snack, and another set of distinctive alerts may be associated with levels above the high threshold value to warn the subject of excessive caloric intake. Further, because an ongoing record of glucose levels is maintained by the glucose monitoring device (and/or an associated device) the records developed over days, weeks, months, etc., can be reviewed by a subject and/or a health-care professional in order to provide appropriate modifications to the food plan. Accordingly, comparing a series of glucose amounts or concentrations as determined by the glucose monitoring device, the record of caloric intake and/or output, and the predetermined reference range of glucose values allows the subject (and/or health-care professional) to evaluate compliance with the reference range of glucose amounts or concentrations that is being used to achieve the weight management goal of the subject. Further, glucose level fluctuations that put the subject at risk can be evaluated and solutions to avoid such fluctuations proposed. [0166]
  • A similar approach may be applied to numerous disease states or conditions, e.g., those described above. For example, a subject may enter information (e.g., time of dosing) about medications that are being taken (such as, HIV medications discussed above) and glucose levels can be evaluated relative to such events, i.e., comparing the record of medication to glucose levels. By keeping track of such information it may be possible to avoid HIV drug-related hyperglycemia and its attendant health problems by modifying the subject's dietary intake, perhaps relative to drug dosing times, in order to maintain glucose values within a predetermined reference range (i.e., between high and low threshold values). Accordingly, by comparing a series of glucose amounts or concentrations in a subject being treated with a pharmaceutical composition (typically comprising at least one non-insulin containing pharmaceutical compound, further such pharmaceutical compounds typically do not comprise pharmaceuticals used for the treatment of diabetes, rather they are pharmaceutical compounds with associated side-effects on glucose levels) and a reference record of dates/times of treatment with the pharmaceutical, it is possible to evaluate the effect of the pharmaceutical composition on glucose levels in the subject receiving the pharmaceutical composition over time. Further, a reference range of glucose amounts or concentrations that correspond to maintaining a desired range of glucose amounts or concentrations in the subject during a treatment course can be determined by the subject typically in cooperation with a health-care professional. The reference range is typically defined by a high threshold glucose value and a low threshold glucose value. Alerts may be set in the glucose monitoring device to make the subject aware of fluctuations outside of the reference range. [0167]
  • In another aspect, the above-described methods can be applied to a method for improving prognosis and/or reduction of adverse side-effects associated with a disease state or condition in a subject. In this aspect, a reference range of glucose amounts or concentrations is typically determined that corresponds to achieving an improved prognosis or reduction of adverse side-effects associated with said disease state or condition in the subject. The reference range of glucose amounts or concentrations typically comprises a high threshold glucose value and a low threshold glucose value, and further may include a desired average value with a preferred, associated range of variation. The glucose amount or concentration in the subject is monitored using a glucose monitoring device, for example, as described above. A series of glucose values is obtained over a time course. By comparing the series of glucose amounts or concentrations and the reference range compliance with the reference range of glucose amounts or concentrations to achieve an improved prognosis or reduction of adverse side-effects associated with said disease state or condition in the subject can be evaluated. Clearly such monitoring of glucose levels is necessary and useful in diabetic disease, for example, type I and type II diabetes, however, the method is useful when applied to monitoring glucose in disease states or conditions where the primary effect of the disease state or condition is not directly on glucose levels in the subject, numerous such disease states and conditions are outlined above, including, but not limited to cancer remission, infection with human immunodeficiency virus (HIV), infection with Candida, long distance driving, organ transplantation, growth hormone therapy, renal failure, infection with malaria, alcoholism, intense exercise, cardiovascular disease, cystic fibrosis, stroke, and ischemia. [0168]
  • As another example, the above-described method of providing a functional range of glucose values can be extended to endurance exercise and training. Different ranges of glucose can be established by the subject and/or a health-care professional wherein a selected range of glucose values is put into effect in the glucose monitoring device depending on the activity. For example, three reference glucose ranges may be established for a person undertaking an exercise or training program: a resting range of glucose values, where the high and low glucose threshold values are determined to maintain a certain weight, an aerobic-exercise range of glucose values, where the high and low glucose threshold values are determined to maintain optimum performance during aerobic exertion, and a training-exercise range, where most of the activity is not aerobic in nature (e.g., weight training) and the high and low glucose threshold values are determined to maintain optimum performance during the training activity. A subject may activate a selected set of range values in the glucose monitoring device. A default setting may be selected by the subject to which settings the glucose monitoring device returns after a specified amount of time, or another alert may be programmed to remind the subject to change the selected set of range values after a certain period of time. In this embodiment of the present invention, a record of glucose level variation correlated to activities gives the subject information to evaluate which may reveal particular issues that need to be addressed. For example, consistently low glucose levels during sustained aerobic events may indicate to the subject that such events should be preceded by an increased intake in carbohydrates/fats/proteins. Further, review and evaluation of such a record (obtained over, for example, days, weeks, or months) may allow the subject to modify the intensity, duration, and/or type of exercise in order to maintain appropriate glucose levels throughout the subject's training program, thereby preventing over-exertion and/or reduction of muscle mass. [0169]
  • In an alternative embodiment, high and low glucose threshold values may be established for a reference glucose range. The glucose monitoring device may be worn by the subject in order to obtain frequent, periodic measurements of glucose amount or concentration in the subject. An independent record may be kept by the subject of caloric intake (e.g., meals and snacks) as well as caloric expenditure (e.g., exercise). This independent record can then be compared to the record of glucose values provided by the glucose monitoring device and the reference range of glucose values. Such comparison may be carried out by hand or by a computerized algorithm. In this aspect of the invention, trends of glucose levels can be compared to caloric intake/output and diet and exercise adjusted accordingly to achieve weight management goals. Accordingly, comparing a series of glucose amounts or concentrations as determined by the glucose monitoring device, the record of caloric intake/output, and the predetermined reference range of glucose values allows the subject (and/or health-care professional) to evaluate compliance with the reference range of glucose amounts or concentrations that is being used to achieve the weight management goal of the subject. Such independent record keeping by the subject may be applied to other disease states or conditions described above (e.g., medications, exercise training, long distance driving, etc.). [0170]
  • Although preferred embodiments of the subject invention have been described in some detail, it is understood that obvious variations can be made without departing from the spirit and the scope of the invention as defined by the appended claims. [0171]

Claims (28)

What is claimed is:
1. A method for evaluating compliance with a weight management program in a subject, said method comprising
determining a reference range of glucose amounts or concentrations that correspond to achieving a weight management goal in the subject, said range of glucose amounts or concentrations comprising a high threshold glucose value and a low threshold glucose value,
monitoring glucose amount or concentration in the subject by a glucose monitoring method comprising
transdermally extracting a sample comprising glucose from the subject using a sampling system that is in operative contact with a skin or mucosal surface of said subject, wherein the extracting is carried out using an iontophoretic system comprising first and second iontophoretic electrodes;
contacting the sample with a sensor element in the presence of glucose oxidase that reacts with glucose to produce hydrogen peroxide;
detecting the hydrogen peroxide with the sensor element that reacts electrochemically with the hydrogen peroxide to produce a detectable signal, wherein said detectable signal is specifically related to glucose amount or concentration in the subject;
measuring the detectable signal;
correlating the signal measurement to an amount or concentration of glucose in the subject; and
repeating said glucose monitoring method to obtain a series of glucose amounts or concentrations, in the subject, at selected time intervals;
maintaining a record of caloric intake; and
comparing said series of glucose amounts or concentrations, said record, and said reference range to evaluate compliance with the reference range of glucose amounts or concentrations to achieve the weight management goal of the subject.
2. The method of claim 1, wherein said weight management goal is selected from the group consisting of weight gain in the subject, weight reduction in the subject, and weight maintenance in the subject.
3. The method of claim 1, wherein said maintaining a record further comprises recording caloric output.
4. The method of claim 1, wherein said monitoring glucose amount or concentration in the subject by a glucose monitoring method further comprises providing an alert to the subject when a glucose amount or concentration, in the subject, at a selected time interval falls outside of the reference range.
5. A method for monitoring an effect of at least one non-insulin-containing pharmaceutical composition on glucose levels in a subject receiving said pharmaceutical composition, the method comprising,
monitoring glucose amount or concentration in the subject by a glucose monitoring method comprising
transdermally extracting a sample comprising glucose from the subject using a sampling system that is in operative contact with a skin or mucosal surface of said subject, wherein the extracting is carried out using an iontophoretic system comprising first and second iontophoretic electrodes;
contacting the sample with a sensor element in the presence of glucose oxidase that reacts with glucose to produce hydrogen peroxide;
detecting the hydrogen peroxide with the sensor element that reacts electrochemically with the hydrogen peroxide to produce a detectable signal, wherein said detectable signal is specifically related to glucose amount or concentration in the subject;
measuring the detectable signal;
correlating the signal measurement to an amount or concentration of glucose in the subject; and
repeating said glucose monitoring method to obtain a series of glucose amounts or concentrations, in the subject, at selected time intervals;
maintaining a record of treatment with the pharmaceutical composition; and
comparing said series of glucose amounts or concentrations and said record to evaluate the effect of the pharmaceutical composition on glucose levels in the subject receiving said pharmaceutical composition.
6. The method of claim 5 further comprising, determining a reference range of glucose amounts or concentrations that correspond to maintaining a desired range of glucose amounts or concentrations in the subject during a treatment course with said pharmaceutical composition, wherein said reference range comprises a high threshold glucose value and a low threshold glucose value.
7. The method of claim 6, wherein said monitoring glucose amount or concentration in the subject by a glucose monitoring method further comprises providing an alert to the subject when a glucose amount or concentration, in the subject, at a selected time interval falls outside of the reference range.
8. The method of claim 5, wherein the pharmaceutical composition is pentamidine.
9. The method of claim 5, wherein the pharmaceutical composition is quinine.
10. The method of claim 5, wherein the pharmaceutical composition is saquinavir.
11. The method of claim 5, wherein the pharmaceutical composition is indomethacin.
12. The method of claim 5, wherein the subject is also receiving insulin.
13. A method for improving prognosis and/or reduction of adverse side-effects associated with a disease state or condition in a subject, said method comprising
determining a reference range of glucose amounts or concentrations that correspond to achieving an improved prognosis or reduction of adverse side-effects associated with said disease state or condition in the subject, said range of glucose amounts or concentrations comprising a high threshold glucose value and a low threshold glucose value,
monitoring glucose amount or concentration in the subject by a glucose monitoring method comprising
transdermally extracting a sample comprising glucose from the subject using a sampling system that is in operative contact with a skin or mucosal surface of said subject, wherein the extracting is carried out using an iontophoretic system comprising first and second iontophoretic electrodes;
contacting the sample with a sensor element in the presence of glucose oxidase that reacts with glucose to produce hydrogen peroxide;
detecting the hydrogen peroxide with the sensor element that reacts electrochemically with the hydrogen peroxide to produce a detectable signal, wherein said detectable signal is specifically related to glucose amount or concentration in the subject;
measuring the detectable signal;
correlating the signal measurement to an amount or concentration of glucose in the subject; and
repeating said glucose monitoring method to obtain a series of glucose amounts or concentrations, in the subject, at selected time intervals; and
comparing said series of glucose amounts or concentrations and said reference range to evaluate compliance with the reference range of glucose amounts or concentrations to achieve an improved prognosis or reduction of adverse side-effects associated with said disease state or condition in the subject, wherein said disease state or condition is not type I or type II diabetes.
14. The method of claim 13, wherein said monitoring glucose amount or concentration in the subject by a glucose monitoring method further comprises providing an alert to the subject when a glucose amount or concentration, in the subject, at a selected time interval falls outside of the reference range.
15. The method of claim 13, wherein the condition is cancer remission.
16. The method of claim 13, wherein the disease state is infection with human immunodeficiency virus (HIV).
17. The method of claim 13, wherein the disease state is infection with Candida.
18. The method of claim 13, wherein the condition is long distance driving.
19. The method of claim 13, wherein the condition is organ transplantation.
20. The method of claim 13, wherein the condition is growth hormone therapy.
21. The method of claim 13, wherein the disease state is renal failure.
22. The method of claim 13, wherein the disease state is infection with malaria.
23. The method of claim 13, wherein the condition is alcoholism.
24. The method of claim 13, wherein the condition is intense exercise.
25. The method of claim 13, wherein the disease state is cardiovascular disease.
26. The method of claim 13, wherein the disease state is cystic fibrosis.
27. The method of claim 13, wherein the disease state is stroke or ischemia.
28. The method of claim 13, wherein the disease state is an eating disorder.
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Cited By (162)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040002041A1 (en) * 2002-06-27 2004-01-01 National Wrestling Coaches Association System and method for monitoring weight and nutrition
US20040018486A1 (en) * 1998-09-30 2004-01-29 Cygnus, Inc. Method and device for predicting physiological values
US20040254434A1 (en) * 2003-06-10 2004-12-16 Goodnow Timothy T. Glucose measuring module and insulin pump combination
US20050027463A1 (en) * 2003-08-01 2005-02-03 Goode Paul V. System and methods for processing analyte sensor data
US20050043598A1 (en) * 2003-08-22 2005-02-24 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US20050049473A1 (en) * 2001-06-22 2005-03-03 Cygnus, Inc. Methods for estimating analyte-related signals, microprocessors comprising programming to control performance of the methods, and analyte monitoring devices employing the methods
US20050143635A1 (en) * 2003-12-05 2005-06-30 Kamath Apurv U. Calibration techniques for a continuous analyte sensor
US20050154271A1 (en) * 2003-11-19 2005-07-14 Andrew Rasdal Integrated receiver for continuous analyte sensor
US20050192557A1 (en) * 2004-02-26 2005-09-01 Dexcom Integrated delivery device for continuous glucose sensor
US20050203360A1 (en) * 2003-12-09 2005-09-15 Brauker James H. Signal processing for continuous analyte sensor
US20050261605A1 (en) * 2002-10-18 2005-11-24 S.A.E. Afikim Computerized Dairy Management System System for monitoring the health of an individual and method for use thereof
US20060020190A1 (en) * 2004-07-13 2006-01-26 Dexcom, Inc. Transcutaneous analyte sensor
US20060036144A1 (en) * 2004-07-13 2006-02-16 Dexcom, Inc. Transcutaneous analyte sensor
US20060222566A1 (en) * 2003-08-01 2006-10-05 Brauker James H Transcutaneous analyte sensor
US20060258929A1 (en) * 2005-03-10 2006-11-16 Goode Paul V Jr System and methods for processing analyte sensor data for sensor calibration
US20070032706A1 (en) * 2003-08-22 2007-02-08 Apurv Kamath Systems and methods for replacing signal artifacts in a glucose sensor data stream
US20070112591A1 (en) * 2005-11-17 2007-05-17 Jung Edward K Generating a request from a nutraceutical inventory
US20070119928A1 (en) * 2005-11-17 2007-05-31 Jung Edward K Generating a nutraceutical request from an inventory
US20070124175A1 (en) * 2005-11-30 2007-05-31 Searete Llc, A Limited Liability Corporation Of The State Of Delaware. Computational and/or control systems and methods related to nutraceutical agent selection and dosing
US20070124219A1 (en) * 2005-11-30 2007-05-31 Searete Llc, A Limited Liability Corporation Of The State Of Delaware Computational and/or control systems related to individualized nutraceutical selection and packaging
US20070136092A1 (en) * 2005-11-30 2007-06-14 Searete Llc, A Limited Liability Corporation Of The State Of Delaware Computational and/or control systems related to individualized pharmaceutical and nutraceutical selection and packaging
US20070179385A1 (en) * 2006-01-31 2007-08-02 Cho Yong K Method for continuous baroreflex sensitivity measurement
US20070203966A1 (en) * 2003-08-01 2007-08-30 Dexcom, Inc. Transcutaneous analyte sensor
US20070208246A1 (en) * 2003-08-01 2007-09-06 Brauker James H Transcutaneous analyte sensor
US20070208245A1 (en) * 2003-08-01 2007-09-06 Brauker James H Transcutaneous analyte sensor
US20070244424A1 (en) * 2006-04-13 2007-10-18 Stryker Corporation Method and Apparatus to Detect Biocontamination in an Insufflator for use in Endoscopy
US20070255122A1 (en) * 2004-08-30 2007-11-01 G.R. Enlightenment Ltd. Device and Method for Measuring Physiological Parameters
US20070276209A1 (en) * 2004-04-30 2007-11-29 Fumiaki Emoto Blood-Sugar Level Measuring Device
US20070289258A1 (en) * 2006-06-14 2007-12-20 Searete Llc, A Limited Liability Corporation Of The State Of Delaware Individualized pharmaceutical selection and packaging
US20070299693A1 (en) * 2006-06-23 2007-12-27 Searete Llc, A Limited Liability Corporation Customized visual marking for medication labeling
US20080020037A1 (en) * 2006-07-11 2008-01-24 Robertson Timothy L Acoustic Pharma-Informatics System
US20080033254A1 (en) * 2003-07-25 2008-02-07 Dexcom, Inc. Systems and methods for replacing signal data artifacts in a glucose sensor data stream
US20080060955A1 (en) * 2003-07-15 2008-03-13 Therasense, Inc. Glucose measuring device integrated into a holster for a personal area network device
US20080194938A1 (en) * 2004-07-13 2008-08-14 Dexcom, Inc. Transcutaneous medical device with variable stiffness
US20080262469A1 (en) * 2004-02-26 2008-10-23 Dexcom. Inc. Integrated medicament delivery device for use with continuous analyte sensor
US20080284599A1 (en) * 2005-04-28 2008-11-20 Proteus Biomedical, Inc. Pharma-Informatics System
US20080306360A1 (en) * 2007-05-24 2008-12-11 Robertson Timothy L Low profile antenna for in body device
US20080306435A1 (en) * 2007-06-08 2008-12-11 Dexcom, Inc. Integrated medicament delivery device for use with continuous analyte sensor
US20080306359A1 (en) * 2005-09-01 2008-12-11 Zdeblick Mark J Medical Diagnostic and Treatment Platform Using Near-Field Wireless Communication of Information Within a Patient's Body
US20090076338A1 (en) * 2006-05-02 2009-03-19 Zdeblick Mark J Patient customized therapeutic regimens
US20090135886A1 (en) * 2007-11-27 2009-05-28 Proteus Biomedical, Inc. Transbody communication systems employing communication channels
US20090143659A1 (en) * 2003-08-01 2009-06-04 Dexcom, Inc. Analyte sensor
US20090156924A1 (en) * 2007-12-17 2009-06-18 Dexcom, Inc. Systems and methods for processing sensor data
US20090163791A1 (en) * 2004-07-13 2009-06-25 Dexcom, Inc. Transcutaneous analyte sensor
US20090192745A1 (en) * 2003-08-01 2009-07-30 Dexcom, Inc. Systems and methods for processing sensor data
US20090240193A1 (en) * 2008-02-21 2009-09-24 Dexcom, Inc. Systems and methods for customizing delivery of sensor data
US20090242425A1 (en) * 2008-03-25 2009-10-01 Dexcom, Inc. Analyte sensor
US20090256702A1 (en) * 2008-03-05 2009-10-15 Timothy Robertson Multi-mode communication ingestible event markers and systems, and methods of using the same
US20100022836A1 (en) * 2007-03-09 2010-01-28 Olivier Colliou In-body device having a multi-directional transmitter
WO2010019778A3 (en) * 2008-08-13 2010-04-29 Proteus Biomedical, Inc. Ingestible circuitry
US20100168657A1 (en) * 2003-08-01 2010-07-01 Dexcom, Inc. System and methods for processing analyte sensor data
US20100179406A1 (en) * 2003-08-01 2010-07-15 DesCom, Inc. System and methods for processing analyte sensor data
US20100179409A1 (en) * 2002-02-12 2010-07-15 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US20100179408A1 (en) * 2003-08-22 2010-07-15 Dexcom, Inc. Systems and methods for processing analyte sensor data
US20100185055A1 (en) * 2007-02-01 2010-07-22 Timothy Robertson Ingestible event marker systems
US20100239616A1 (en) * 2006-10-25 2010-09-23 Hooman Hafezi Controlled activation ingestible identifier
US20100268043A1 (en) * 2007-11-07 2010-10-21 Ofer Yodfat Device and Method for Preventing Diabetic Complications
US20100312188A1 (en) * 2008-12-15 2010-12-09 Timothy Robertson Body-Associated Receiver and Method
US20100316158A1 (en) * 2006-11-20 2010-12-16 Lawrence Arne Active signal processing personal health signal receivers
US7860544B2 (en) 1998-04-30 2010-12-28 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US7857760B2 (en) 2004-07-13 2010-12-28 Dexcom, Inc. Analyte sensor
US20100332142A1 (en) * 2009-06-30 2010-12-30 Lifescan,Inc. Analyte testing method and device for calculating basal insulin therapy
US20100331654A1 (en) * 2009-06-30 2010-12-30 Lifescan Scotland Ltd. Systems for diabetes management and methods
US20100332445A1 (en) * 2009-06-30 2010-12-30 Lifescan, Inc. Analyte testing method and system
US20110054265A1 (en) * 2009-04-28 2011-03-03 Hooman Hafezi Highly reliable ingestible event markers and methods for using the same
US20110077493A1 (en) * 2009-09-29 2011-03-31 Lifescan Scotland Ltd. Analyte testing method and device for diabetes mangement
US7920907B2 (en) 2006-06-07 2011-04-05 Abbott Diabetes Care Inc. Analyte monitoring system and method
US20110145009A1 (en) * 2005-11-30 2011-06-16 Jung Edward K Y Methods and systems related to transmission of nutraceutical associatd information
US7976778B2 (en) 2001-04-02 2011-07-12 Abbott Diabetes Care Inc. Blood glucose tracking apparatus
US20110205064A1 (en) * 2010-02-25 2011-08-25 Lifescan Scotland Ltd. Analyte testing method and system with high and low blood glucose trends notification
US20110212782A1 (en) * 2008-10-14 2011-09-01 Andrew Thompson Method and System for Incorporating Physiologic Data in a Gaming Environment
US8036748B2 (en) 2008-11-13 2011-10-11 Proteus Biomedical, Inc. Ingestible therapy activator system and method
US8054140B2 (en) 2006-10-17 2011-11-08 Proteus Biomedical, Inc. Low voltage oscillator for medical devices
US8160669B2 (en) 2003-08-01 2012-04-17 Dexcom, Inc. Transcutaneous analyte sensor
US8287453B2 (en) 2003-12-05 2012-10-16 Dexcom, Inc. Analyte sensor
US8287454B2 (en) 1998-04-30 2012-10-16 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8346337B2 (en) 1998-04-30 2013-01-01 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8417312B2 (en) 2007-10-25 2013-04-09 Dexcom, Inc. Systems and methods for processing sensor data
US8423113B2 (en) 2003-07-25 2013-04-16 Dexcom, Inc. Systems and methods for processing sensor data
US8465425B2 (en) 1998-04-30 2013-06-18 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8540664B2 (en) 2009-03-25 2013-09-24 Proteus Digital Health, Inc. Probablistic pharmacokinetic and pharmacodynamic modeling
US8548553B2 (en) 2003-08-01 2013-10-01 Dexcom, Inc. System and methods for processing analyte sensor data
US8558563B2 (en) 2009-08-21 2013-10-15 Proteus Digital Health, Inc. Apparatus and method for measuring biochemical parameters
US8565848B2 (en) 2004-07-13 2013-10-22 Dexcom, Inc. Transcutaneous analyte sensor
US8583227B2 (en) 2008-12-11 2013-11-12 Proteus Digital Health, Inc. Evaluation of gastrointestinal function using portable electroviscerography systems and methods of using the same
US8597186B2 (en) 2009-01-06 2013-12-03 Proteus Digital Health, Inc. Pharmaceutical dosages delivery system
US8612159B2 (en) 1998-04-30 2013-12-17 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8652043B2 (en) 2001-01-02 2014-02-18 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8688188B2 (en) 1998-04-30 2014-04-01 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8730031B2 (en) 2005-04-28 2014-05-20 Proteus Digital Health, Inc. Communication system using an implantable device
US20140155719A1 (en) * 2003-06-10 2014-06-05 Abbott Diabetes Care Inc. Glucose Measuring Device for Use in Personal Area Network
US8784308B2 (en) 2009-12-02 2014-07-22 Proteus Digital Health, Inc. Integrated ingestible event marker system with pharmaceutical product
US8802183B2 (en) 2005-04-28 2014-08-12 Proteus Digital Health, Inc. Communication system with enhanced partial power source and method of manufacturing same
US8836513B2 (en) 2006-04-28 2014-09-16 Proteus Digital Health, Inc. Communication system incorporated in an ingestible product
US8868453B2 (en) 2009-11-04 2014-10-21 Proteus Digital Health, Inc. System for supply chain management
US8912908B2 (en) 2005-04-28 2014-12-16 Proteus Digital Health, Inc. Communication system with remote activation
US8956288B2 (en) 2007-02-14 2015-02-17 Proteus Digital Health, Inc. In-body power source having high surface area electrode
US8961412B2 (en) 2007-09-25 2015-02-24 Proteus Digital Health, Inc. In-body device with virtual dipole signal amplification
US8974386B2 (en) 1998-04-30 2015-03-10 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US9014779B2 (en) 2010-02-01 2015-04-21 Proteus Digital Health, Inc. Data gathering system
US9066695B2 (en) 1998-04-30 2015-06-30 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US20150190100A1 (en) * 2001-12-27 2015-07-09 Medtronic Minimed, Inc. System for monitoring physiological characteristics
US9107806B2 (en) 2010-11-22 2015-08-18 Proteus Digital Health, Inc. Ingestible device with pharmaceutical product
US20150250386A1 (en) * 2012-09-28 2015-09-10 Csem Centre Suisse D'electronique Et De Microtechnique Sa -Recherche Et Developpement Implantable devices
US9135402B2 (en) 2007-12-17 2015-09-15 Dexcom, Inc. Systems and methods for processing sensor data
US9149423B2 (en) 2009-05-12 2015-10-06 Proteus Digital Health, Inc. Ingestible event markers comprising an ingestible component
US9198608B2 (en) 2005-04-28 2015-12-01 Proteus Digital Health, Inc. Communication system incorporated in a container
US9235683B2 (en) 2011-11-09 2016-01-12 Proteus Digital Health, Inc. Apparatus, system, and method for managing adherence to a regimen
US9268909B2 (en) 2012-10-18 2016-02-23 Proteus Digital Health, Inc. Apparatus, system, and method to adaptively optimize power dissipation and broadcast power in a power source for a communication device
US9270025B2 (en) 2007-03-09 2016-02-23 Proteus Digital Health, Inc. In-body device having deployable antenna
US9270503B2 (en) 2013-09-20 2016-02-23 Proteus Digital Health, Inc. Methods, devices and systems for receiving and decoding a signal in the presence of noise using slices and warping
US9271897B2 (en) 2012-07-23 2016-03-01 Proteus Digital Health, Inc. Techniques for manufacturing ingestible event markers comprising an ingestible component
US9439599B2 (en) 2011-03-11 2016-09-13 Proteus Digital Health, Inc. Wearable personal body associated device with various physical configurations
US9439566B2 (en) 2008-12-15 2016-09-13 Proteus Digital Health, Inc. Re-wearable wireless device
US9446194B2 (en) 2009-03-27 2016-09-20 Dexcom, Inc. Methods and systems for promoting glucose management
US9451908B2 (en) 2006-10-04 2016-09-27 Dexcom, Inc. Analyte sensor
US9577864B2 (en) 2013-09-24 2017-02-21 Proteus Digital Health, Inc. Method and apparatus for use with received electromagnetic signal at a frequency not known exactly in advance
US9597487B2 (en) 2010-04-07 2017-03-21 Proteus Digital Health, Inc. Miniature ingestible device
US9603550B2 (en) 2008-07-08 2017-03-28 Proteus Digital Health, Inc. State characterization based on multi-variate data fusion techniques
US9649057B2 (en) 2007-05-08 2017-05-16 Abbott Diabetes Care Inc. Analyte monitoring system and methods
US9659423B2 (en) 2008-12-15 2017-05-23 Proteus Digital Health, Inc. Personal authentication apparatus system and method
US9743866B2 (en) 2007-04-14 2017-08-29 Abbott Diabetes Care Inc. Method and apparatus for providing dynamic multi-stage signal amplification in a medical device
US9750444B2 (en) 2009-09-30 2017-09-05 Abbott Diabetes Care Inc. Interconnect for on-body analyte monitoring device
US9756874B2 (en) 2011-07-11 2017-09-12 Proteus Digital Health, Inc. Masticable ingestible product and communication system therefor
US9796576B2 (en) 2013-08-30 2017-10-24 Proteus Digital Health, Inc. Container with electronically controlled interlock
US9801545B2 (en) 2007-03-01 2017-10-31 Abbott Diabetes Care Inc. Method and apparatus for providing rolling data in communication systems
US9883819B2 (en) 2009-01-06 2018-02-06 Proteus Digital Health, Inc. Ingestion-related biofeedback and personalized medical therapy method and system
US9949678B2 (en) 2007-05-08 2018-04-24 Abbott Diabetes Care Inc. Method and device for determining elapsed sensor life
US9962091B2 (en) 2002-12-31 2018-05-08 Abbott Diabetes Care Inc. Continuous glucose monitoring system and methods of use
US9968302B2 (en) 2009-08-31 2018-05-15 Abbott Diabetes Care Inc. Analyte signal processing device and methods
US10022499B2 (en) 2007-02-15 2018-07-17 Abbott Diabetes Care Inc. Device and method for automatic data acquisition and/or detection
US10084880B2 (en) 2013-11-04 2018-09-25 Proteus Digital Health, Inc. Social media networking based on physiologic information
US20180303388A1 (en) * 2017-03-06 2018-10-25 Medtronic Minimed, Inc. Colorometric sensor for the non-invasive screening of glucose in sweat in pre and type 2 diabetes
US10175376B2 (en) 2013-03-15 2019-01-08 Proteus Digital Health, Inc. Metal detector apparatus, system, and method
US10187121B2 (en) 2016-07-22 2019-01-22 Proteus Digital Health, Inc. Electromagnetic sensing and detection of ingestible event markers
US10223905B2 (en) 2011-07-21 2019-03-05 Proteus Digital Health, Inc. Mobile device and system for detection and communication of information received from an ingestible device
US10296720B2 (en) 2005-11-30 2019-05-21 Gearbox Llc Computational systems and methods related to nutraceuticals
US20190150803A1 (en) * 2014-06-06 2019-05-23 Dexcom, Inc. Fault discrimination and responsive processing based on data and context
US10398161B2 (en) 2014-01-21 2019-09-03 Proteus Digital Heal Th, Inc. Masticable ingestible product and communication system therefor
US10413182B2 (en) 2015-07-24 2019-09-17 Johnson & Johnson Vision Care, Inc. Biomedical devices for biometric based information communication
US10429250B2 (en) 2009-08-31 2019-10-01 Abbott Diabetes Care, Inc. Analyte monitoring system and methods for managing power and noise
US10529044B2 (en) 2010-05-19 2020-01-07 Proteus Digital Health, Inc. Tracking and delivery confirmation of pharmaceutical products
US10653835B2 (en) 2007-10-09 2020-05-19 Dexcom, Inc. Integrated insulin delivery system with continuous glucose sensor
US10813577B2 (en) 2005-06-21 2020-10-27 Dexcom, Inc. Analyte sensor
US20200337615A1 (en) * 2013-11-14 2020-10-29 Dexcom, Inc. Devices and methods for continuous analyte monitoring
CN111855788A (en) * 2020-06-09 2020-10-30 江苏大学 Method for detecting cadmium element in live eriocheir sinensis based on electrochemical sensing technology
US10980461B2 (en) 2008-11-07 2021-04-20 Dexcom, Inc. Advanced analyte sensor calibration and error detection
US11000215B1 (en) 2003-12-05 2021-05-11 Dexcom, Inc. Analyte sensor
US11051543B2 (en) 2015-07-21 2021-07-06 Otsuka Pharmaceutical Co. Ltd. Alginate on adhesive bilayer laminate film
US11149123B2 (en) 2013-01-29 2021-10-19 Otsuka Pharmaceutical Co., Ltd. Highly-swellable polymeric films and compositions comprising the same
US11158149B2 (en) 2013-03-15 2021-10-26 Otsuka Pharmaceutical Co., Ltd. Personal authentication apparatus system and method
US11331022B2 (en) 2017-10-24 2022-05-17 Dexcom, Inc. Pre-connected analyte sensors
US11350862B2 (en) 2017-10-24 2022-06-07 Dexcom, Inc. Pre-connected analyte sensors
US11355238B2 (en) * 2006-01-05 2022-06-07 University Of Virginia Patent Foundation Method, system and computer program product for evaluation of blood glucose variability in diabetes from self-monitoring data
US11382539B2 (en) 2006-10-04 2022-07-12 Dexcom, Inc. Analyte sensor
US11399745B2 (en) 2006-10-04 2022-08-02 Dexcom, Inc. Dual electrode system for a continuous analyte sensor
US20220273203A1 (en) * 2007-07-31 2022-09-01 Abbott Diabetes Care Inc. Method and apparatus for providing data processing and control in a medical communication system
US11529071B2 (en) 2016-10-26 2022-12-20 Otsuka Pharmaceutical Co., Ltd. Methods for manufacturing capsules with ingestible event markers
US11559260B2 (en) 2003-08-22 2023-01-24 Dexcom, Inc. Systems and methods for processing analyte sensor data
US11633133B2 (en) 2003-12-05 2023-04-25 Dexcom, Inc. Dual electrode system for a continuous analyte sensor
US11744481B2 (en) 2013-03-15 2023-09-05 Otsuka Pharmaceutical Co., Ltd. System, apparatus and methods for data collection and assessing outcomes
US11928614B2 (en) 2017-09-28 2024-03-12 Otsuka Pharmaceutical Co., Ltd. Patient customized therapeutic regimens

Families Citing this family (139)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6391005B1 (en) 1998-03-30 2002-05-21 Agilent Technologies, Inc. Apparatus and method for penetration with shaft having a sensor for sensing penetration depth
ATE245937T1 (en) * 1998-05-13 2003-08-15 Cygnus Therapeutic Systems MONITORING PHYSIOLOGICAL ANALYTES
WO2002018936A2 (en) * 2000-08-28 2002-03-07 Cygnus, Inc. Methods of monitoring glucose levels in a subject and uses thereof
US8641644B2 (en) 2000-11-21 2014-02-04 Sanofi-Aventis Deutschland Gmbh Blood testing apparatus having a rotatable cartridge with multiple lancing elements and testing means
EP1395185B1 (en) 2001-06-12 2010-10-27 Pelikan Technologies Inc. Electric lancet actuator
US7981056B2 (en) 2002-04-19 2011-07-19 Pelikan Technologies, Inc. Methods and apparatus for lancet actuation
CA2448902C (en) 2001-06-12 2010-09-07 Pelikan Technologies, Inc. Self optimizing lancing device with adaptation means to temporal variations in cutaneous properties
US8337419B2 (en) 2002-04-19 2012-12-25 Sanofi-Aventis Deutschland Gmbh Tissue penetration device
WO2002100254A2 (en) 2001-06-12 2002-12-19 Pelikan Technologies, Inc. Method and apparatus for lancet launching device integrated onto a blood-sampling cartridge
US7344507B2 (en) 2002-04-19 2008-03-18 Pelikan Technologies, Inc. Method and apparatus for lancet actuation
US9427532B2 (en) 2001-06-12 2016-08-30 Sanofi-Aventis Deutschland Gmbh Tissue penetration device
US7041068B2 (en) 2001-06-12 2006-05-09 Pelikan Technologies, Inc. Sampling module device and method
US9795747B2 (en) 2010-06-02 2017-10-24 Sanofi-Aventis Deutschland Gmbh Methods and apparatus for lancet actuation
US9226699B2 (en) 2002-04-19 2016-01-05 Sanofi-Aventis Deutschland Gmbh Body fluid sampling module with a continuous compression tissue interface surface
NZ512367A (en) * 2001-06-14 2005-05-27 Horticulture & Food Res Inst Non-invasive transudate extraction
CA2480550C (en) 2002-03-22 2011-07-12 Cygnus, Inc. Improving performance of an analyte monitoring device
US7547287B2 (en) 2002-04-19 2009-06-16 Pelikan Technologies, Inc. Method and apparatus for penetrating tissue
US9248267B2 (en) 2002-04-19 2016-02-02 Sanofi-Aventis Deustchland Gmbh Tissue penetration device
US7198606B2 (en) 2002-04-19 2007-04-03 Pelikan Technologies, Inc. Method and apparatus for a multi-use body fluid sampling device with analyte sensing
US9314194B2 (en) 2002-04-19 2016-04-19 Sanofi-Aventis Deutschland Gmbh Tissue penetration device
US7229458B2 (en) 2002-04-19 2007-06-12 Pelikan Technologies, Inc. Method and apparatus for penetrating tissue
US8360992B2 (en) 2002-04-19 2013-01-29 Sanofi-Aventis Deutschland Gmbh Method and apparatus for penetrating tissue
US9795334B2 (en) 2002-04-19 2017-10-24 Sanofi-Aventis Deutschland Gmbh Method and apparatus for penetrating tissue
US7892183B2 (en) 2002-04-19 2011-02-22 Pelikan Technologies, Inc. Method and apparatus for body fluid sampling and analyte sensing
US8702624B2 (en) 2006-09-29 2014-04-22 Sanofi-Aventis Deutschland Gmbh Analyte measurement device with a single shot actuator
US7232451B2 (en) 2002-04-19 2007-06-19 Pelikan Technologies, Inc. Method and apparatus for penetrating tissue
US8579831B2 (en) 2002-04-19 2013-11-12 Sanofi-Aventis Deutschland Gmbh Method and apparatus for penetrating tissue
US8221334B2 (en) 2002-04-19 2012-07-17 Sanofi-Aventis Deutschland Gmbh Method and apparatus for penetrating tissue
US8267870B2 (en) 2002-04-19 2012-09-18 Sanofi-Aventis Deutschland Gmbh Method and apparatus for body fluid sampling with hybrid actuation
US7331931B2 (en) 2002-04-19 2008-02-19 Pelikan Technologies, Inc. Method and apparatus for penetrating tissue
US7909778B2 (en) 2002-04-19 2011-03-22 Pelikan Technologies, Inc. Method and apparatus for penetrating tissue
US8784335B2 (en) 2002-04-19 2014-07-22 Sanofi-Aventis Deutschland Gmbh Body fluid sampling device with a capacitive sensor
US8372016B2 (en) 2002-04-19 2013-02-12 Sanofi-Aventis Deutschland Gmbh Method and apparatus for body fluid sampling and analyte sensing
US7297122B2 (en) 2002-04-19 2007-11-20 Pelikan Technologies, Inc. Method and apparatus for penetrating tissue
US7674232B2 (en) 2002-04-19 2010-03-09 Pelikan Technologies, Inc. Method and apparatus for penetrating tissue
US7901362B2 (en) 2002-04-19 2011-03-08 Pelikan Technologies, Inc. Method and apparatus for penetrating tissue
US7491178B2 (en) 2002-04-19 2009-02-17 Pelikan Technologies, Inc. Method and apparatus for penetrating tissue
US7976476B2 (en) 2002-04-19 2011-07-12 Pelikan Technologies, Inc. Device and method for variable speed lancet
GB2418258B (en) * 2002-06-05 2006-08-23 Diabetes Diagnostics Inc Analyte testing device
US8574895B2 (en) 2002-12-30 2013-11-05 Sanofi-Aventis Deutschland Gmbh Method and apparatus using optical techniques to measure analyte levels
JP4381705B2 (en) * 2003-03-26 2009-12-09 シスメックス株式会社 Transcutaneous analyte extraction system and analysis system, and transcutaneous analyte extraction method and analysis method
US7587287B2 (en) 2003-04-04 2009-09-08 Abbott Diabetes Care Inc. Method and system for transferring analyte test data
EP1628567B1 (en) 2003-05-30 2010-08-04 Pelikan Technologies Inc. Method and apparatus for fluid injection
ES2490740T3 (en) 2003-06-06 2014-09-04 Sanofi-Aventis Deutschland Gmbh Apparatus for blood fluid sampling and analyte detection
WO2006001797A1 (en) 2004-06-14 2006-01-05 Pelikan Technologies, Inc. Low pain penetrating
EP1671096A4 (en) 2003-09-29 2009-09-16 Pelikan Technologies Inc Method and apparatus for an improved sample capture device
EP1680014A4 (en) 2003-10-14 2009-01-21 Pelikan Technologies Inc Method and apparatus for a variable user interface
US7822454B1 (en) 2005-01-03 2010-10-26 Pelikan Technologies, Inc. Fluid sampling device with improved analyte detecting member configuration
WO2005065414A2 (en) 2003-12-31 2005-07-21 Pelikan Technologies, Inc. Method and apparatus for improving fluidic flow and sample capture
CA2556331A1 (en) 2004-02-17 2005-09-29 Therasense, Inc. Method and system for providing data communication in continuous glucose monitoring and management system
US8828203B2 (en) 2004-05-20 2014-09-09 Sanofi-Aventis Deutschland Gmbh Printable hydrogels for biosensors
US9775553B2 (en) 2004-06-03 2017-10-03 Sanofi-Aventis Deutschland Gmbh Method and apparatus for a fluid sampling device
WO2005120365A1 (en) 2004-06-03 2005-12-22 Pelikan Technologies, Inc. Method and apparatus for a fluid sampling device
CA3090413C (en) 2004-06-04 2023-10-10 Abbott Diabetes Care Inc. Glucose monitoring and graphical representations in a data management system
JP2006167428A (en) * 2004-11-16 2006-06-29 Sysmex Corp Analyte extraction device, analyzer, analyte extraction method, and analysis method
US8652831B2 (en) 2004-12-30 2014-02-18 Sanofi-Aventis Deutschland Gmbh Method and apparatus for analyte measurement test time
US7545272B2 (en) 2005-02-08 2009-06-09 Therasense, Inc. RF tag on test strips, test strip vials and boxes
US8112240B2 (en) 2005-04-29 2012-02-07 Abbott Diabetes Care Inc. Method and apparatus for providing leak detection in data monitoring and management systems
US20060264783A1 (en) * 2005-05-09 2006-11-23 Holmes Elizabeth A Systems and methods for monitoring pharmacological parameters
US7670288B2 (en) * 2005-06-08 2010-03-02 Sher Philip M Fluctuating blood glucose notification threshold profiles and methods of use
KR100692783B1 (en) * 2005-07-19 2007-03-12 케이엠에이치 주식회사 Patch for extracting glucose
US7495993B2 (en) * 2005-10-26 2009-02-24 Capso Vision, Inc. Onboard data storage and method
US7766829B2 (en) 2005-11-04 2010-08-03 Abbott Diabetes Care Inc. Method and system for providing basal profile modification in analyte monitoring and management systems
US7963917B2 (en) * 2005-12-05 2011-06-21 Echo Therapeutics, Inc. System and method for continuous non-invasive glucose monitoring
US11287421B2 (en) 2006-03-24 2022-03-29 Labrador Diagnostics Llc Systems and methods of sample processing and fluid control in a fluidic system
US8741230B2 (en) 2006-03-24 2014-06-03 Theranos, Inc. Systems and methods of sample processing and fluid control in a fluidic system
US7620438B2 (en) 2006-03-31 2009-11-17 Abbott Diabetes Care Inc. Method and system for powering an electronic device
US8226891B2 (en) 2006-03-31 2012-07-24 Abbott Diabetes Care Inc. Analyte monitoring devices and methods therefor
US8007999B2 (en) 2006-05-10 2011-08-30 Theranos, Inc. Real-time detection of influenza virus
US20080113391A1 (en) * 2006-11-14 2008-05-15 Ian Gibbons Detection and quantification of analytes in bodily fluids
US8732188B2 (en) 2007-02-18 2014-05-20 Abbott Diabetes Care Inc. Method and system for providing contextual based medication dosage determination
US8930203B2 (en) 2007-02-18 2015-01-06 Abbott Diabetes Care Inc. Multi-function analyte test device and methods therefor
US20080228056A1 (en) 2007-03-13 2008-09-18 Michael Blomquist Basal rate testing using frequent blood glucose input
US7928850B2 (en) 2007-05-08 2011-04-19 Abbott Diabetes Care Inc. Analyte monitoring system and methods
US8461985B2 (en) 2007-05-08 2013-06-11 Abbott Diabetes Care Inc. Analyte monitoring system and methods
US7751907B2 (en) 2007-05-24 2010-07-06 Smiths Medical Asd, Inc. Expert system for insulin pump therapy
US8221345B2 (en) 2007-05-30 2012-07-17 Smiths Medical Asd, Inc. Insulin pump based expert system
US8647273B2 (en) * 2007-06-21 2014-02-11 RF Science & Technology, Inc. Non-invasive weight and performance management
CA2690870C (en) 2007-06-21 2017-07-11 Abbott Diabetes Care Inc. Health monitor
US8647272B2 (en) * 2007-06-21 2014-02-11 Rf Science & Technology Inc Non-invasive scanning apparatuses
US10264993B2 (en) * 2007-06-21 2019-04-23 Rf Science & Technology Inc. Sample scanning and analysis system and methods for using the same
US8259299B2 (en) 2007-06-21 2012-09-04 Rf Science & Technology Inc. Gas scanning and analysis
EP3533387A3 (en) 2007-06-21 2019-11-13 Abbott Diabetes Care, Inc. Health management devices and methods
US8382668B2 (en) * 2007-06-21 2013-02-26 Rf Science & Technology Inc. Non-invasive determination of characteristics of a sample
EP2562664B1 (en) * 2007-06-27 2020-11-25 Roche Diabetes Care GmbH System for determining an insulin delivery and communicating a dose in automated pancreas software
ES2733350T3 (en) 2007-06-27 2019-11-28 Hoffmann La Roche System for medical diagnosis, treatment and prognosis for requested events and procedure
US8158430B1 (en) 2007-08-06 2012-04-17 Theranos, Inc. Systems and methods of fluidic sample processing
GB0716427D0 (en) * 2007-08-23 2007-10-03 Smartsensor Telemed Ltd Glucose tolerance test device
US9199031B2 (en) * 2007-12-26 2015-12-01 Ofer Yodfat Maintaining glycemic control during exercise
US20090177142A1 (en) 2008-01-09 2009-07-09 Smiths Medical Md, Inc Insulin pump with add-on modules
US20090192541A1 (en) * 2008-01-28 2009-07-30 Ethicon Endo-Surgery, Inc. Methods and devices for predicting performance of a gastric restriction system
WO2009126900A1 (en) 2008-04-11 2009-10-15 Pelikan Technologies, Inc. Method and apparatus for analyte detecting device
US7826382B2 (en) 2008-05-30 2010-11-02 Abbott Diabetes Care Inc. Close proximity communication device and methods
EP2130487A1 (en) 2008-06-03 2009-12-09 Microlife Intellectual Property GmbH Glucose meter, a system with a glucose meter, method for operating a glucose meter and a computer program product
US8103456B2 (en) 2009-01-29 2012-01-24 Abbott Diabetes Care Inc. Method and device for early signal attenuation detection using blood glucose measurements
US9375169B2 (en) 2009-01-30 2016-06-28 Sanofi-Aventis Deutschland Gmbh Cam drive for managing disposable penetrating member actions with a single motor and motor and control system
US9402544B2 (en) 2009-02-03 2016-08-02 Abbott Diabetes Care Inc. Analyte sensor and apparatus for insertion of the sensor
US9226701B2 (en) 2009-04-28 2016-01-05 Abbott Diabetes Care Inc. Error detection in critical repeating data in a wireless sensor system
EP2424426B1 (en) 2009-04-29 2020-01-08 Abbott Diabetes Care, Inc. Method and system for providing data communication in continuous glucose monitoring and management system
WO2010138856A1 (en) 2009-05-29 2010-12-02 Abbott Diabetes Care Inc. Medical device antenna systems having external antenna configurations
US9687194B2 (en) * 2009-06-17 2017-06-27 Medtronic Minimed, Inc. Closed-loop glucose and/or insulin control system
US8641671B2 (en) 2009-07-30 2014-02-04 Tandem Diabetes Care, Inc. Infusion pump system with disposable cartridge having pressure venting and pressure feedback
US20110034792A1 (en) * 2009-08-05 2011-02-10 Williams Ronald L Noninvasive Body Chemistry Monitor and Method
AU2010286917B2 (en) 2009-08-31 2016-03-10 Abbott Diabetes Care Inc. Medical devices and methods
US9320461B2 (en) 2009-09-29 2016-04-26 Abbott Diabetes Care Inc. Method and apparatus for providing notification function in analyte monitoring systems
CN105825049A (en) 2009-10-19 2016-08-03 提拉诺斯公司 Integrated health data capture and analysis system
US8882701B2 (en) 2009-12-04 2014-11-11 Smiths Medical Asd, Inc. Advanced step therapy delivery for an ambulatory infusion pump and system
US8965476B2 (en) 2010-04-16 2015-02-24 Sanofi-Aventis Deutschland Gmbh Tissue penetration device
US10561785B2 (en) 2010-06-22 2020-02-18 Medtronic Minimed, Inc. Method and/or system for closed-loop control of glucose to a treatment range
US20120035446A1 (en) * 2010-08-05 2012-02-09 Hold David Method and apparatus for monitoring diabetic patients
EP3583901A3 (en) 2011-02-28 2020-01-15 Abbott Diabetes Care, Inc. Devices, systems, and methods associated with analyte monitoring devices and devices incorporating the same
US10136845B2 (en) 2011-02-28 2018-11-27 Abbott Diabetes Care Inc. Devices, systems, and methods associated with analyte monitoring devices and devices incorporating the same
US9069536B2 (en) 2011-10-31 2015-06-30 Abbott Diabetes Care Inc. Electronic devices having integrated reset systems and methods thereof
JP6443802B2 (en) 2011-11-07 2018-12-26 アボット ダイアベティス ケア インコーポレイテッドAbbott Diabetes Care Inc. Analyte monitoring apparatus and method
US9180242B2 (en) 2012-05-17 2015-11-10 Tandem Diabetes Care, Inc. Methods and devices for multiple fluid transfer
US9968306B2 (en) 2012-09-17 2018-05-15 Abbott Diabetes Care Inc. Methods and apparatuses for providing adverse condition notification with enhanced wireless communication range in analyte monitoring systems
WO2014066913A2 (en) 2012-10-26 2014-05-01 Pixie Scientific, Inc Health diagnostic systems and methods
US10201656B2 (en) 2013-03-13 2019-02-12 Tandem Diabetes Care, Inc. Simplified insulin pump for type II diabetics
US9173998B2 (en) 2013-03-14 2015-11-03 Tandem Diabetes Care, Inc. System and method for detecting occlusions in an infusion pump
US9492608B2 (en) 2013-03-15 2016-11-15 Tandem Diabetes Care, Inc. Method and device utilizing insulin delivery protocols
US9867953B2 (en) 2013-06-21 2018-01-16 Tandem Diabetes Care, Inc. System and method for infusion set dislodgement detection
WO2015035304A1 (en) 2013-09-06 2015-03-12 Tandem Diabetes Care, Inc. System and method for mitigating risk in automated medicament dosing
US9933387B1 (en) 2014-09-07 2018-04-03 Biolinq, Inc. Miniaturized sub-nanoampere sensitivity low-noise potentiostat system
CN107735683A (en) 2015-05-22 2018-02-23 皮科希科学有限责任公司 Indicator panel for incontinence product
US10569016B2 (en) 2015-12-29 2020-02-25 Tandem Diabetes Care, Inc. System and method for switching between closed loop and open loop control of an ambulatory infusion pump
US10092207B1 (en) 2016-05-15 2018-10-09 Biolinq, Inc. Tissue-penetrating electrochemical sensor featuring a co-electrodeposited thin film comprised of polymer and bio-recognition element
KR102233000B1 (en) * 2016-12-15 2021-03-29 주식회사 에덴룩스 Vision training device for cognitive correction
US11045142B1 (en) 2017-04-29 2021-06-29 Biolinq, Inc. Heterogeneous integration of silicon-fabricated solid microneedle sensors and CMOS circuitry
JPWO2019187018A1 (en) * 2018-03-30 2020-04-30 株式会社ファーストスクリーニング Health support system, sensor, and health support method
EP3776801A4 (en) 2018-04-10 2021-12-22 Tandem Diabetes Care, Inc. System and method for inductively charging a medical device
USD875254S1 (en) 2018-06-08 2020-02-11 Biolinq, Inc. Intradermal biosensor
US11224693B2 (en) 2018-10-10 2022-01-18 Tandem Diabetes Care, Inc. System and method for switching between medicament delivery control algorithms
GB2608290B (en) 2020-07-29 2023-07-26 Biolinq Incorporated Continuous analyte monitoring system with microneedle array
JP7240747B2 (en) * 2020-12-25 2023-03-16 株式会社ファーストスクリーニング HEALTH ASSISTANCE SYSTEM, HEALTH ASSISTANCE METHOD, AND SENSOR
USD988160S1 (en) 2021-03-16 2023-06-06 Biolinq Incorporated Wearable dermal sensor
JP7341583B6 (en) 2021-05-08 2023-09-29 バイオリンク インコーポレイテッド Fault detection for microneedle array-based continuous analyte monitoring devices
USD1013544S1 (en) 2022-04-29 2024-02-06 Biolinq Incorporated Wearable sensor
USD996999S1 (en) 2021-11-16 2023-08-29 Biolinq Incorporated Wearable sensor
USD1012744S1 (en) 2022-05-16 2024-01-30 Biolinq Incorporated Wearable sensor with illuminated display

Family Cites Families (45)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
FR2544525A1 (en) 1983-04-12 1984-10-19 Simatec Sarl PORTABLE APPARATUS FOR SEIZING AND PROCESSING INFORMATION RELATING TO THE HEALTH OF A PERSON
US4703756A (en) 1986-05-06 1987-11-03 The Regents Of The University Of California Complete glucose monitoring system with an implantable, telemetered sensor module
US4731726A (en) 1986-05-19 1988-03-15 Healthware Corporation Patient-operated glucose monitor and diabetes management system
EP0290683A3 (en) 1987-05-01 1988-12-14 Diva Medical Systems B.V. Diabetes management system and apparatus
WO1989006989A1 (en) 1988-01-29 1989-08-10 The Regents Of The University Of California Iontophoretic non-invasive sampling or delivery device
US5362307A (en) 1989-01-24 1994-11-08 The Regents Of The University Of California Method for the iontophoretic non-invasive-determination of the in vivo concentration level of an inorganic or organic substance
IL98203A (en) 1990-06-20 1996-06-18 Bayer Ag Portable electronic logbook and method of storing and displaying data
US5899855A (en) * 1992-11-17 1999-05-04 Health Hero Network, Inc. Modular microprocessor-based health monitoring system
US5956501A (en) 1997-01-10 1999-09-21 Health Hero Network, Inc. Disease simulation system and method
US5458140A (en) 1993-11-15 1995-10-17 Non-Invasive Monitoring Company (Nimco) Enhancement of transdermal monitoring applications with ultrasound and chemical enhancers
US5569186A (en) 1994-04-25 1996-10-29 Minimed Inc. Closed loop infusion pump system with removable glucose sensor
DE4415896A1 (en) 1994-05-05 1995-11-09 Boehringer Mannheim Gmbh Analysis system for monitoring the concentration of an analyte in the blood of a patient
US5771890A (en) 1994-06-24 1998-06-30 Cygnus, Inc. Device and method for sampling of substances using alternating polarity
US5462051A (en) 1994-08-31 1995-10-31 Colin Corporation Medical communication system
CA2220294C (en) 1995-05-08 2002-07-09 Massachusetts Institute Of Technology System for non-contact sensing and signalling using human body as signal transmission medium
AU724821B2 (en) * 1995-06-30 2000-09-28 Ceapro Inc. Solid oral diagnostic test meal and methods of use thereof
WO1997002811A1 (en) 1995-07-12 1997-01-30 Cygnus, Inc. Hydrogel patch
US5735273A (en) 1995-09-12 1998-04-07 Cygnus, Inc. Chemical signal-impermeable mask
CA2212826C (en) 1995-12-28 2002-02-19 Cygnus, Inc. Methods for monitoring a physiological analyte
US5836312A (en) * 1996-01-02 1998-11-17 Moore; Steven Jerome Computer-assisted system and method for adjudging the effect of consumable intakes on physiological parameters
US5747806A (en) 1996-02-02 1998-05-05 Instrumentation Metrics, Inc Method and apparatus for multi-spectral analysis in noninvasive nir spectroscopy
FI118509B (en) 1996-02-12 2007-12-14 Nokia Oyj A method and apparatus for predicting blood glucose levels in a patient
US5954685A (en) 1996-05-24 1999-09-21 Cygnus, Inc. Electrochemical sensor with dual purpose electrode
US5760714A (en) * 1996-11-20 1998-06-02 Motorola, Inc. Interrupt-driven keypad scanning method and apparatus
DE19652596C2 (en) 1996-12-18 1999-02-25 Heraeus Electro Nite Int Method and immersion probe for measuring electrochemical activity
US6139718A (en) 1997-03-25 2000-10-31 Cygnus, Inc. Electrode with improved signal to noise ratio
US5997475A (en) * 1997-08-18 1999-12-07 Solefound, Inc. Device for diabetes management
US6024699A (en) 1998-03-13 2000-02-15 Healthware Corporation Systems, methods and computer program products for monitoring, diagnosing and treating medical conditions of remotely located patients
US6175752B1 (en) * 1998-04-30 2001-01-16 Therasense, Inc. Analyte monitoring device and methods of use
ATE245937T1 (en) * 1998-05-13 2003-08-15 Cygnus Therapeutic Systems MONITORING PHYSIOLOGICAL ANALYTES
PT1077636E (en) * 1998-05-13 2004-06-30 Cygnus Therapeutic Systems SIGNAL PROCESSING FOR PHYSIOLOGICAL ANALYZES MEDICATION
DK1053043T3 (en) 1998-05-13 2002-11-18 Cygnus Therapeutic Systems Collection units for transdermal sampling systems
WO1999058973A1 (en) 1998-05-13 1999-11-18 Cygnus, Inc. Method and device for predicting physiological values
US6180416B1 (en) 1998-09-30 2001-01-30 Cygnus, Inc. Method and device for predicting physiological values
CA2346055C (en) 1998-09-30 2004-06-29 Cygnus, Inc. Method and device for predicting physiological values
AU3363000A (en) * 1999-02-12 2000-08-29 Cygnus, Inc. Devices and methods for frequent measurement of an analyte present in a biological system
WO2000078208A1 (en) 1999-06-18 2000-12-28 Spectrx, Inc. System and method for monitoring glucose to assist in weight management and fitness training
EP1217942A1 (en) * 1999-09-24 2002-07-03 Healthetech, Inc. Physiological monitor and associated computation, display and communication unit
US6458080B1 (en) * 2000-05-31 2002-10-01 International Business Machines Corporation Managing parameters effecting the comprehensive health of a user
US7024369B1 (en) * 2000-05-31 2006-04-04 International Business Machines Corporation Balancing the comprehensive health of a user
US6605038B1 (en) * 2000-06-16 2003-08-12 Bodymedia, Inc. System for monitoring health, wellness and fitness
WO2002017210A2 (en) * 2000-08-18 2002-02-28 Cygnus, Inc. Formulation and manipulation of databases of analyte and associated values
WO2002018936A2 (en) * 2000-08-28 2002-03-07 Cygnus, Inc. Methods of monitoring glucose levels in a subject and uses thereof
US6560471B1 (en) * 2001-01-02 2003-05-06 Therasense, Inc. Analyte monitoring device and methods of use
US20030208113A1 (en) * 2001-07-18 2003-11-06 Mault James R Closed loop glycemic index system

Cited By (634)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7869853B1 (en) 1998-04-30 2011-01-11 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8231532B2 (en) 1998-04-30 2012-07-31 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8275439B2 (en) 1998-04-30 2012-09-25 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8273022B2 (en) 1998-04-30 2012-09-25 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8265726B2 (en) 1998-04-30 2012-09-11 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8974386B2 (en) 1998-04-30 2015-03-10 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8287454B2 (en) 1998-04-30 2012-10-16 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8255031B2 (en) 1998-04-30 2012-08-28 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8306598B2 (en) 1998-04-30 2012-11-06 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8235896B2 (en) 1998-04-30 2012-08-07 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8597189B2 (en) 1998-04-30 2013-12-03 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8226557B2 (en) 1998-04-30 2012-07-24 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8226555B2 (en) 1998-04-30 2012-07-24 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8226558B2 (en) 1998-04-30 2012-07-24 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8224413B2 (en) 1998-04-30 2012-07-17 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US10478108B2 (en) 1998-04-30 2019-11-19 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8177716B2 (en) 1998-04-30 2012-05-15 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8175673B2 (en) 1998-04-30 2012-05-08 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8346336B2 (en) 1998-04-30 2013-01-01 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8162829B2 (en) 1998-04-30 2012-04-24 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8346337B2 (en) 1998-04-30 2013-01-01 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8353829B2 (en) 1998-04-30 2013-01-15 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8357091B2 (en) 1998-04-30 2013-01-22 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8366614B2 (en) 1998-04-30 2013-02-05 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8372005B2 (en) 1998-04-30 2013-02-12 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8880137B2 (en) 1998-04-30 2014-11-04 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8380273B2 (en) 1998-04-30 2013-02-19 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8391945B2 (en) 1998-04-30 2013-03-05 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8409131B2 (en) 1998-04-30 2013-04-02 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8840553B2 (en) 1998-04-30 2014-09-23 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8465425B2 (en) 1998-04-30 2013-06-18 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8473021B2 (en) 1998-04-30 2013-06-25 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8480580B2 (en) 1998-04-30 2013-07-09 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US7885699B2 (en) 1998-04-30 2011-02-08 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8774887B2 (en) 1998-04-30 2014-07-08 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8260392B2 (en) 1998-04-30 2012-09-04 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US9014773B2 (en) 1998-04-30 2015-04-21 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8612159B2 (en) 1998-04-30 2013-12-17 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8617071B2 (en) 1998-04-30 2013-12-31 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US9326714B2 (en) 1998-04-30 2016-05-03 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US7860544B2 (en) 1998-04-30 2010-12-28 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8622906B2 (en) 1998-04-30 2014-01-07 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US9011331B2 (en) 1998-04-30 2015-04-21 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8641619B2 (en) 1998-04-30 2014-02-04 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8649841B2 (en) 1998-04-30 2014-02-11 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US9042953B2 (en) 1998-04-30 2015-05-26 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8660627B2 (en) 1998-04-30 2014-02-25 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8666469B2 (en) 1998-04-30 2014-03-04 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8670815B2 (en) 1998-04-30 2014-03-11 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US9066697B2 (en) 1998-04-30 2015-06-30 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US9066694B2 (en) 1998-04-30 2015-06-30 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8744545B2 (en) 1998-04-30 2014-06-03 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8672844B2 (en) 1998-04-30 2014-03-18 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8688188B2 (en) 1998-04-30 2014-04-01 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8738109B2 (en) 1998-04-30 2014-05-27 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8734346B2 (en) 1998-04-30 2014-05-27 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8734348B2 (en) 1998-04-30 2014-05-27 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US9072477B2 (en) 1998-04-30 2015-07-07 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US9066695B2 (en) 1998-04-30 2015-06-30 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US20080270039A1 (en) * 1998-09-30 2008-10-30 Animas Technologies, Llc. Method and device for predicting physiological values
US20080262746A1 (en) * 1998-09-30 2008-10-23 Animas Technologies, Llc. Method and device for predicting physiological values
US7405055B2 (en) 1998-09-30 2008-07-29 Animas Technologies Llc Method and device for predicting physiological values
US20090076731A1 (en) * 1998-09-30 2009-03-19 Animas Technologies, Llc. Method and device and predicting physiological values
US20040018486A1 (en) * 1998-09-30 2004-01-29 Cygnus, Inc. Method and device for predicting physiological values
US7935499B2 (en) 1998-09-30 2011-05-03 Animas Corporation Method and device for predicting physiological values
US8668645B2 (en) 2001-01-02 2014-03-11 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8652043B2 (en) 2001-01-02 2014-02-18 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US9011332B2 (en) 2001-01-02 2015-04-21 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US9498159B2 (en) 2001-01-02 2016-11-22 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US9610034B2 (en) 2001-01-02 2017-04-04 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US7976778B2 (en) 2001-04-02 2011-07-12 Abbott Diabetes Care Inc. Blood glucose tracking apparatus
US8268243B2 (en) 2001-04-02 2012-09-18 Abbott Diabetes Care Inc. Blood glucose tracking apparatus and methods
US8236242B2 (en) 2001-04-02 2012-08-07 Abbott Diabetes Care Inc. Blood glucose tracking apparatus and methods
US8765059B2 (en) 2001-04-02 2014-07-01 Abbott Diabetes Care Inc. Blood glucose tracking apparatus
US9477811B2 (en) 2001-04-02 2016-10-25 Abbott Diabetes Care Inc. Blood glucose tracking apparatus and methods
US7699775B2 (en) 2001-06-22 2010-04-20 Animas Technologies, Llc Methods for estimating analyte-related signals, microprocessors comprising programming to control performance of the methods, and analyte monitoring devices employing the methods
US20050049473A1 (en) * 2001-06-22 2005-03-03 Cygnus, Inc. Methods for estimating analyte-related signals, microprocessors comprising programming to control performance of the methods, and analyte monitoring devices employing the methods
US20150190100A1 (en) * 2001-12-27 2015-07-09 Medtronic Minimed, Inc. System for monitoring physiological characteristics
US10080529B2 (en) * 2001-12-27 2018-09-25 Medtronic Minimed, Inc. System for monitoring physiological characteristics
US20100179409A1 (en) * 2002-02-12 2010-07-15 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US9282925B2 (en) 2002-02-12 2016-03-15 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US7247023B2 (en) * 2002-06-27 2007-07-24 Peplinski Daniel M System and method for monitoring weight and nutrition
US20040002041A1 (en) * 2002-06-27 2004-01-01 National Wrestling Coaches Association System and method for monitoring weight and nutrition
US20050261605A1 (en) * 2002-10-18 2005-11-24 S.A.E. Afikim Computerized Dairy Management System System for monitoring the health of an individual and method for use thereof
US9962091B2 (en) 2002-12-31 2018-05-08 Abbott Diabetes Care Inc. Continuous glucose monitoring system and methods of use
US10750952B2 (en) 2002-12-31 2020-08-25 Abbott Diabetes Care Inc. Continuous glucose monitoring system and methods of use
US8460243B2 (en) 2003-06-10 2013-06-11 Abbott Diabetes Care Inc. Glucose measuring module and insulin pump combination
US9730584B2 (en) * 2003-06-10 2017-08-15 Abbott Diabetes Care Inc. Glucose measuring device for use in personal area network
US20140155719A1 (en) * 2003-06-10 2014-06-05 Abbott Diabetes Care Inc. Glucose Measuring Device for Use in Personal Area Network
US20040254434A1 (en) * 2003-06-10 2004-12-16 Goodnow Timothy T. Glucose measuring module and insulin pump combination
US8029443B2 (en) 2003-07-15 2011-10-04 Abbott Diabetes Care Inc. Glucose measuring device integrated into a holster for a personal area network device
US20080060955A1 (en) * 2003-07-15 2008-03-13 Therasense, Inc. Glucose measuring device integrated into a holster for a personal area network device
US8423113B2 (en) 2003-07-25 2013-04-16 Dexcom, Inc. Systems and methods for processing sensor data
US20080033254A1 (en) * 2003-07-25 2008-02-07 Dexcom, Inc. Systems and methods for replacing signal data artifacts in a glucose sensor data stream
US8260393B2 (en) 2003-07-25 2012-09-04 Dexcom, Inc. Systems and methods for replacing signal data artifacts in a glucose sensor data stream
US20070208245A1 (en) * 2003-08-01 2007-09-06 Brauker James H Transcutaneous analyte sensor
US20080194937A1 (en) * 2003-08-01 2008-08-14 Dexcom, Inc. System and methods for processing analyte sensor data
US8915849B2 (en) 2003-08-01 2014-12-23 Dexcom, Inc. Transcutaneous analyte sensor
US20050027463A1 (en) * 2003-08-01 2005-02-03 Goode Paul V. System and methods for processing analyte sensor data
US8771187B2 (en) 2003-08-01 2014-07-08 Dexcom, Inc. System and methods for processing analyte sensor data
US8275437B2 (en) 2003-08-01 2012-09-25 Dexcom, Inc. Transcutaneous analyte sensor
US8761856B2 (en) 2003-08-01 2014-06-24 Dexcom, Inc. System and methods for processing analyte sensor data
US20090192745A1 (en) * 2003-08-01 2009-07-30 Dexcom, Inc. Systems and methods for processing sensor data
US20050027180A1 (en) * 2003-08-01 2005-02-03 Goode Paul V. System and methods for processing analyte sensor data
US20090012379A1 (en) * 2003-08-01 2009-01-08 Dexcom, Inc. System and methods for processing analyte sensor data
US20100168657A1 (en) * 2003-08-01 2010-07-01 Dexcom, Inc. System and methods for processing analyte sensor data
US20100168544A1 (en) * 2003-08-01 2010-07-01 Dexcom, Inc. System and methods for processing analyte sensor data
US20100168542A1 (en) * 2003-08-01 2010-07-01 Dexcom, Inc. System and methods for processing analyte sensor data
US20080306368A1 (en) * 2003-08-01 2008-12-11 Dexcom, Inc. System and methods for processing analyte sensor data
US20100168540A1 (en) * 2003-08-01 2010-07-01 Dexcom, Inc. System and methods for processing analyte sensor data
US20100168541A1 (en) * 2003-08-01 2010-07-01 Dexcom, Inc. System and methods for processing analyte sensor data
US8774888B2 (en) 2003-08-01 2014-07-08 Dexcom, Inc. System and methods for processing analyte sensor data
US20100168543A1 (en) * 2003-08-01 2010-07-01 Dexcom, Inc. System and methods for processing analyte sensor data
US8290562B2 (en) 2003-08-01 2012-10-16 Dexcom, Inc. System and methods for processing analyte sensor data
US8700117B2 (en) 2003-08-01 2014-04-15 Dexcom, Inc. System and methods for processing analyte sensor data
US20090192724A1 (en) * 2003-08-01 2009-07-30 Dexcom, Inc. Transcutaneous analyte sensor
US20100179406A1 (en) * 2003-08-01 2010-07-15 DesCom, Inc. System and methods for processing analyte sensor data
US20050027181A1 (en) * 2003-08-01 2005-02-03 Goode Paul V. System and methods for processing analyte sensor data
US8886273B2 (en) 2003-08-01 2014-11-11 Dexcom, Inc. Analyte sensor
US8986209B2 (en) 2003-08-01 2015-03-24 Dexcom, Inc. Transcutaneous analyte sensor
US20100185072A1 (en) * 2003-08-01 2010-07-22 Dexcom, Inc. System and methods for processing analyte sensor data
US20100185065A1 (en) * 2003-08-01 2010-07-22 Dexcom, Inc. System and methods for processing analyte sensor data
US8311749B2 (en) 2003-08-01 2012-11-13 Dexcom, Inc. Transcutaneous analyte sensor
US8321149B2 (en) 2003-08-01 2012-11-27 Dexcom, Inc. Transcutaneous analyte sensor
US8676287B2 (en) 2003-08-01 2014-03-18 Dexcom, Inc. System and methods for processing analyte sensor data
US8845536B2 (en) 2003-08-01 2014-09-30 Dexcom, Inc. Transcutaneous analyte sensor
US7778680B2 (en) 2003-08-01 2010-08-17 Dexcom, Inc. System and methods for processing analyte sensor data
US10786185B2 (en) 2003-08-01 2020-09-29 Dexcom, Inc. System and methods for processing analyte sensor data
US20100214104A1 (en) * 2003-08-01 2010-08-26 Dexcom, Inc. System and methods for processing analyte sensor data
US20100217106A1 (en) * 2003-08-01 2010-08-26 Dexcom, Inc. System and methods for processing analyte sensor data
US20100217555A1 (en) * 2003-08-01 2010-08-26 Dexcom, Inc System and methods for processing analyte sensor data
US20100217557A1 (en) * 2003-08-01 2010-08-26 Dexcom, Inc. System and methods for processing analyte sensor data
US8332008B2 (en) 2003-08-01 2012-12-11 Dexcom, Inc. System and methods for processing analyte sensor data
US8206297B2 (en) 2003-08-01 2012-06-26 Dexcom, Inc. System and methods for processing analyte sensor data
US7959569B2 (en) 2003-08-01 2011-06-14 Dexcom, Inc. System and methods for processing analyte sensor data
US7797028B2 (en) 2003-08-01 2010-09-14 Dexcom, Inc. System and methods for processing analyte sensor data
US20060222566A1 (en) * 2003-08-01 2006-10-05 Brauker James H Transcutaneous analyte sensor
US20080195967A1 (en) * 2003-08-01 2008-08-14 Dexcom, Inc. System and methods for processing analyte sensor data
US9895089B2 (en) 2003-08-01 2018-02-20 Dexcom, Inc. System and methods for processing analyte sensor data
US8160669B2 (en) 2003-08-01 2012-04-17 Dexcom, Inc. Transcutaneous analyte sensor
US20080189051A1 (en) * 2003-08-01 2008-08-07 Dexcom, Inc. System and methods for processing analyte sensor data
US7826981B2 (en) 2003-08-01 2010-11-02 Dexcom, Inc. System and methods for processing analyte sensor data
US20080183061A1 (en) * 2003-08-01 2008-07-31 Dexcom, Inc. System and methods for processing analyte sensor data
US20100305869A1 (en) * 2003-08-01 2010-12-02 Dexcom, Inc. Transcutaneous analyte sensor
US8808182B2 (en) 2003-08-01 2014-08-19 Dexcom, Inc. System and methods for processing analyte sensor data
US8622905B2 (en) 2003-08-01 2014-01-07 Dexcom, Inc. System and methods for processing analyte sensor data
US8788006B2 (en) 2003-08-01 2014-07-22 Dexcom, Inc. System and methods for processing analyte sensor data
US20080021666A1 (en) * 2003-08-01 2008-01-24 Dexcom, Inc. System and methods for processing analyte sensor data
US8060173B2 (en) 2003-08-01 2011-11-15 Dexcom, Inc. System and methods for processing analyte sensor data
US8369919B2 (en) 2003-08-01 2013-02-05 Dexcom, Inc. Systems and methods for processing sensor data
US8588882B2 (en) 2003-08-01 2013-11-19 Dexcom, Inc. System and methods for processing analyte sensor data
US8548553B2 (en) 2003-08-01 2013-10-01 Dexcom, Inc. System and methods for processing analyte sensor data
US8788008B2 (en) 2003-08-01 2014-07-22 Dexcom, Inc. System and methods for processing analyte sensor data
US8052601B2 (en) 2003-08-01 2011-11-08 Dexcom, Inc. System and methods for processing analyte sensor data
US20110231107A1 (en) * 2003-08-01 2011-09-22 Dexcom, Inc. Transcutaneous analyte sensor
US7276029B2 (en) * 2003-08-01 2007-10-02 Dexcom, Inc. System and methods for processing analyte sensor data
US20090143659A1 (en) * 2003-08-01 2009-06-04 Dexcom, Inc. Analyte sensor
US20070208246A1 (en) * 2003-08-01 2007-09-06 Brauker James H Transcutaneous analyte sensor
US7914450B2 (en) 2003-08-01 2011-03-29 Dexcom, Inc. System and methods for processing analyte sensor data
US8788007B2 (en) 2003-08-01 2014-07-22 Dexcom, Inc. Transcutaneous analyte sensor
US20110231141A1 (en) * 2003-08-01 2011-09-22 Dexcom, Inc. System and methods for processing analyte sensor data
US8442610B2 (en) 2003-08-01 2013-05-14 Dexcom, Inc. System and methods for processing analyte sensor data
US20110231142A1 (en) * 2003-08-01 2011-09-22 Dexcom, Inc. System and methods for processing analyte sensor data
US7925321B2 (en) 2003-08-01 2011-04-12 Dexcom, Inc. System and methods for processing analyte sensor data
US20110231140A1 (en) * 2003-08-01 2011-09-22 Dexcom, Inc. System and methods for processing analyte sensor data
US7933639B2 (en) 2003-08-01 2011-04-26 Dexcom, Inc. System and methods for processing analyte sensor data
US8801612B2 (en) 2003-08-01 2014-08-12 Dexcom, Inc. System and methods for processing analyte sensor data
US20070203966A1 (en) * 2003-08-01 2007-08-30 Dexcom, Inc. Transcutaneous analyte sensor
US8428679B2 (en) 2003-08-01 2013-04-23 Dexcom, Inc. System and methods for processing analyte sensor data
US8394021B2 (en) 2003-08-01 2013-03-12 Dexcom, Inc. System and methods for processing analyte sensor data
US8000901B2 (en) 2003-08-01 2011-08-16 Dexcom, Inc. Transcutaneous analyte sensor
US7986986B2 (en) 2003-08-01 2011-07-26 Dexcom, Inc. System and methods for processing analyte sensor data
US8285354B2 (en) 2003-08-01 2012-10-09 Dexcom, Inc. System and methods for processing analyte sensor data
US7979104B2 (en) 2003-08-01 2011-07-12 Dexcom, Inc. System and methods for processing analyte sensor data
US7955261B2 (en) 2003-08-01 2011-06-07 Dexcom, Inc. System and methods for processing analyte sensor data
US20090124878A1 (en) * 2003-08-22 2009-05-14 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US20100240975A1 (en) * 2003-08-22 2010-09-23 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US8795177B2 (en) 2003-08-22 2014-08-05 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US20110130971A1 (en) * 2003-08-22 2011-06-02 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US20110130970A1 (en) * 2003-08-22 2011-06-02 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US20100036223A1 (en) * 2003-08-22 2010-02-11 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US8412301B2 (en) 2003-08-22 2013-04-02 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US20110124997A1 (en) * 2003-08-22 2011-05-26 Dexcom, Inc. System and methods for replacing signal artifacts in a glucose sensor data stream
US7998071B2 (en) 2003-08-22 2011-08-16 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US20110118580A1 (en) * 2003-08-22 2011-05-19 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US20110118579A1 (en) * 2003-08-22 2011-05-19 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US8005525B2 (en) 2003-08-22 2011-08-23 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US7935057B2 (en) 2003-08-22 2011-05-03 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US8010174B2 (en) 2003-08-22 2011-08-30 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US9585607B2 (en) 2003-08-22 2017-03-07 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US20110218414A1 (en) * 2003-08-22 2011-09-08 Dexcom, Inc. Systems and methods for processing analyte sensor data
US20100036215A1 (en) * 2003-08-22 2010-02-11 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US8435179B2 (en) 2003-08-22 2013-05-07 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US8790260B2 (en) 2003-08-22 2014-07-29 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US9510782B2 (en) 2003-08-22 2016-12-06 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US8812073B2 (en) 2003-08-22 2014-08-19 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US9649069B2 (en) 2003-08-22 2017-05-16 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US8491474B2 (en) 2003-08-22 2013-07-23 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US9427183B2 (en) 2003-08-22 2016-08-30 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US9420968B2 (en) 2003-08-22 2016-08-23 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US8073519B2 (en) 2003-08-22 2011-12-06 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US8073520B2 (en) 2003-08-22 2011-12-06 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US9724045B1 (en) 2003-08-22 2017-08-08 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US8777853B2 (en) 2003-08-22 2014-07-15 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US8128562B2 (en) 2003-08-22 2012-03-06 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US8150488B2 (en) 2003-08-22 2012-04-03 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US9750460B2 (en) 2003-08-22 2017-09-05 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US20100240976A1 (en) * 2003-08-22 2010-09-23 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US20110137601A1 (en) * 2003-08-22 2011-06-09 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US20070032706A1 (en) * 2003-08-22 2007-02-08 Apurv Kamath Systems and methods for replacing signal artifacts in a glucose sensor data stream
US8167801B2 (en) 2003-08-22 2012-05-01 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US8346338B2 (en) 2003-08-22 2013-01-01 Dexcom, Inc. System and methods for replacing signal artifacts in a glucose sensor data stream
US8821400B2 (en) 2003-08-22 2014-09-02 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US20100235106A1 (en) * 2003-08-22 2010-09-16 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US8843187B2 (en) 2003-08-22 2014-09-23 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US8195265B2 (en) 2003-08-22 2012-06-05 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US8657747B2 (en) 2003-08-22 2014-02-25 Dexcom, Inc. Systems and methods for processing analyte sensor data
US20100036222A1 (en) * 2003-08-22 2010-02-11 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US20090124877A1 (en) * 2003-08-22 2009-05-14 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US9247901B2 (en) 2003-08-22 2016-02-02 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US8229536B2 (en) 2003-08-22 2012-07-24 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US20100036225A1 (en) * 2003-08-22 2010-02-11 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US11559260B2 (en) 2003-08-22 2023-01-24 Dexcom, Inc. Systems and methods for processing analyte sensor data
US20100036224A1 (en) * 2003-08-22 2010-02-11 DecCom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US8233959B2 (en) 2003-08-22 2012-07-31 Dexcom, Inc. Systems and methods for processing analyte sensor data
US20100036216A1 (en) * 2003-08-22 2010-02-11 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US8672845B2 (en) 2003-08-22 2014-03-18 Dexcom, Inc. Systems and methods for processing analyte sensor data
US9149219B2 (en) 2003-08-22 2015-10-06 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US20100030053A1 (en) * 2003-08-22 2010-02-04 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US11589823B2 (en) 2003-08-22 2023-02-28 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US20100179408A1 (en) * 2003-08-22 2010-07-15 Dexcom, Inc. Systems and methods for processing analyte sensor data
US8292810B2 (en) 2003-08-22 2012-10-23 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US20050043598A1 (en) * 2003-08-22 2005-02-24 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US20100179401A1 (en) * 2003-11-19 2010-07-15 Dexcom, Inc. Integrated receiver for continuous analyte sensor
US20080287764A1 (en) * 2003-11-19 2008-11-20 Dexcom, Inc. Integrated receiver for continuous analyte sensor
US20050154271A1 (en) * 2003-11-19 2005-07-14 Andrew Rasdal Integrated receiver for continuous analyte sensor
US8282550B2 (en) 2003-11-19 2012-10-09 Dexcom, Inc. Integrated receiver for continuous analyte sensor
US11564602B2 (en) 2003-11-19 2023-01-31 Dexcom, Inc. Integrated receiver for continuous analyte sensor
US20080287765A1 (en) * 2003-11-19 2008-11-20 Dexcom, Inc. Integrated receiver for continuous analyte sensor
US20080287766A1 (en) * 2003-11-19 2008-11-20 Dexcom, Inc. Integrated receiver for continuous analyte sensor
US7927274B2 (en) 2003-11-19 2011-04-19 Dexcom, Inc. Integrated receiver for continuous analyte sensor
US9538946B2 (en) 2003-11-19 2017-01-10 Dexcom, Inc. Integrated receiver for continuous analyte sensor
US7917186B2 (en) 2003-12-05 2011-03-29 Dexcom, Inc. Calibration techniques for a continuous analyte sensor
US11020031B1 (en) 2003-12-05 2021-06-01 Dexcom, Inc. Analyte sensor
US20100331648A1 (en) * 2003-12-05 2010-12-30 Dexcom, Inc. Calibration techniques for a continuous analyte sensor
US20100198035A1 (en) * 2003-12-05 2010-08-05 Dexcom, Inc. Calibration techniques for a continuous analyte sensor
US11633133B2 (en) 2003-12-05 2023-04-25 Dexcom, Inc. Dual electrode system for a continuous analyte sensor
US20050143635A1 (en) * 2003-12-05 2005-06-30 Kamath Apurv U. Calibration techniques for a continuous analyte sensor
US20100198036A1 (en) * 2003-12-05 2010-08-05 Dexcom, Inc. Calibration techniques for a continuous analyte sensor
US8287453B2 (en) 2003-12-05 2012-10-16 Dexcom, Inc. Analyte sensor
US7715893B2 (en) 2003-12-05 2010-05-11 Dexcom, Inc. Calibration techniques for a continuous analyte sensor
US20100063373A1 (en) * 2003-12-05 2010-03-11 Dexcom, Inc. Calibration techniques for a continuous analyte sensor
US8428678B2 (en) 2003-12-05 2013-04-23 Dexcom, Inc. Calibration techniques for a continuous analyte sensor
US8249684B2 (en) 2003-12-05 2012-08-21 Dexcom, Inc. Calibration techniques for a continuous analyte sensor
US8386004B2 (en) 2003-12-05 2013-02-26 Dexcom, Inc. Calibration techniques for a continuous analyte sensor
US11000215B1 (en) 2003-12-05 2021-05-11 Dexcom, Inc. Analyte sensor
US8160671B2 (en) 2003-12-05 2012-04-17 Dexcom, Inc. Calibration techniques for a continuous analyte sensor
US9364173B2 (en) 2003-12-09 2016-06-14 Dexcom, Inc. Signal processing for continuous analyte sensor
US8469886B2 (en) 2003-12-09 2013-06-25 Dexcom, Inc. Signal processing for continuous analyte sensor
US8216139B2 (en) 2003-12-09 2012-07-10 Dexcom, Inc. Signal processing for continuous analyte sensor
US20050203360A1 (en) * 2003-12-09 2005-09-15 Brauker James H. Signal processing for continuous analyte sensor
US11638541B2 (en) 2003-12-09 2023-05-02 Dexconi, Inc. Signal processing for continuous analyte sensor
US10898113B2 (en) 2003-12-09 2021-01-26 Dexcom, Inc. Signal processing for continuous analyte sensor
US8265725B2 (en) 2003-12-09 2012-09-11 Dexcom, Inc. Signal processing for continuous analyte sensor
US8257259B2 (en) 2003-12-09 2012-09-04 Dexcom, Inc. Signal processing for continuous analyte sensor
US8374667B2 (en) 2003-12-09 2013-02-12 Dexcom, Inc. Signal processing for continuous analyte sensor
US20100179400A1 (en) * 2003-12-09 2010-07-15 Dexcom, Inc. Signal processing for continuous analyte sensor
US8233958B2 (en) 2003-12-09 2012-07-31 Dexcom, Inc. Signal processing for continuous analyte sensor
US9750441B2 (en) 2003-12-09 2017-09-05 Dexcom, Inc. Signal processing for continuous analyte sensor
US8005524B2 (en) 2003-12-09 2011-08-23 Dexcom, Inc. Signal processing for continuous analyte sensor
US9498155B2 (en) 2003-12-09 2016-11-22 Dexcom, Inc. Signal processing for continuous analyte sensor
US8747315B2 (en) 2003-12-09 2014-06-10 Dexcom. Inc. Signal processing for continuous analyte sensor
US8282549B2 (en) 2003-12-09 2012-10-09 Dexcom, Inc. Signal processing for continuous analyte sensor
US9420965B2 (en) 2003-12-09 2016-08-23 Dexcom, Inc. Signal processing for continuous analyte sensor
US8657745B2 (en) 2003-12-09 2014-02-25 Dexcom, Inc. Signal processing for continuous analyte sensor
US8251906B2 (en) 2003-12-09 2012-08-28 Dexcom, Inc. Signal processing for continuous analyte sensor
US9351668B2 (en) 2003-12-09 2016-05-31 Dexcom, Inc. Signal processing for continuous analyte sensor
US8290561B2 (en) 2003-12-09 2012-10-16 Dexcom, Inc. Signal processing for continuous analyte sensor
US9192328B2 (en) 2003-12-09 2015-11-24 Dexcom, Inc. Signal processing for continuous analyte sensor
US9107623B2 (en) 2003-12-09 2015-08-18 Dexcom, Inc. Signal processing for continuous analyte sensor
US20090043542A1 (en) * 2003-12-09 2009-02-12 Dexcom, Inc. Signal processing for continuous analyte sensor
US20090043541A1 (en) * 2003-12-09 2009-02-12 Dexcom, Inc. Signal processing for continuous analyte sensor
US20100045465A1 (en) * 2003-12-09 2010-02-25 Dexcom Inc. Signal processing for continuous analyte sensor
US20090043525A1 (en) * 2003-12-09 2009-02-12 Dexcom, Inc. Signal processing for continuous analyte sensor
US20090043182A1 (en) * 2003-12-09 2009-02-12 Dexcom, Inc. Signal processing for continuous analyte sensor
US20100030038A1 (en) * 2003-12-09 2010-02-04 Dexcom. Inc. Signal processing for continuous analyte sensor
US20090204341A1 (en) * 2003-12-09 2009-08-13 Dexcom, Inc. Signal processing for continuous analyte sensor
US20100030484A1 (en) * 2003-12-09 2010-02-04 Dexcom, Inc. Signal processing for continuous analyte sensor
US20090299162A1 (en) * 2003-12-09 2009-12-03 Dexcom, Inc. Signal processing for continuous analyte sensor
US20100022855A1 (en) * 2003-12-09 2010-01-28 Dexcom, Inc. Signal processing for continuous analyte sensor
US8801610B2 (en) 2003-12-09 2014-08-12 Dexcom, Inc. Signal processing for continuous analyte sensor
US20100010332A1 (en) * 2003-12-09 2010-01-14 Dexcom, Inc. Signal processing for continuous analyte sensor
US20100010331A1 (en) * 2003-12-09 2010-01-14 Dexcom, Inc. Signal processing for continuous analyte sensor
US20100010324A1 (en) * 2003-12-09 2010-01-14 Dexcom, Inc. Signal processing for continuous analyte sensor
US20100016687A1 (en) * 2003-12-09 2010-01-21 Dexcom, Inc. Signal processing for continuous analyte sensor
US9937293B2 (en) 2004-02-26 2018-04-10 Dexcom, Inc. Integrated delivery device for continuous glucose sensor
US8808228B2 (en) 2004-02-26 2014-08-19 Dexcom, Inc. Integrated medicament delivery device for use with continuous analyte sensor
US8926585B2 (en) 2004-02-26 2015-01-06 Dexcom, Inc. Integrated delivery device for continuous glucose sensor
US11246990B2 (en) 2004-02-26 2022-02-15 Dexcom, Inc. Integrated delivery device for continuous glucose sensor
US20080262469A1 (en) * 2004-02-26 2008-10-23 Dexcom. Inc. Integrated medicament delivery device for use with continuous analyte sensor
US7976492B2 (en) 2004-02-26 2011-07-12 Dexcom, Inc. Integrated delivery device for continuous glucose sensor
US20050192557A1 (en) * 2004-02-26 2005-09-01 Dexcom Integrated delivery device for continuous glucose sensor
US8721585B2 (en) 2004-02-26 2014-05-13 Dex Com, Inc. Integrated delivery device for continuous glucose sensor
US20090299276A1 (en) * 2004-02-26 2009-12-03 Dexcom, Inc. Integrated delivery device for continuous glucose sensor
US10278580B2 (en) 2004-02-26 2019-05-07 Dexcom, Inc. Integrated medicament delivery device for use with continuous analyte sensor
US10835672B2 (en) 2004-02-26 2020-11-17 Dexcom, Inc. Integrated insulin delivery system with continuous glucose sensor
US10966609B2 (en) 2004-02-26 2021-04-06 Dexcom, Inc. Integrated medicament delivery device for use with continuous analyte sensor
US20070276209A1 (en) * 2004-04-30 2007-11-29 Fumiaki Emoto Blood-Sugar Level Measuring Device
US8750955B2 (en) 2004-07-13 2014-06-10 Dexcom, Inc. Analyte sensor
US20100174158A1 (en) * 2004-07-13 2010-07-08 Dexcom, Inc. Transcutaneous analyte sensor
US7857760B2 (en) 2004-07-13 2010-12-28 Dexcom, Inc. Analyte sensor
US10918315B2 (en) 2004-07-13 2021-02-16 Dexcom, Inc. Analyte sensor
US11883164B2 (en) 2004-07-13 2024-01-30 Dexcom, Inc. System and methods for processing analyte sensor data for sensor calibration
US8280475B2 (en) 2004-07-13 2012-10-02 Dexcom, Inc. Transcutaneous analyte sensor
US8290560B2 (en) 2004-07-13 2012-10-16 Dexcom, Inc. Transcutaneous analyte sensor
US20090076361A1 (en) * 2004-07-13 2009-03-19 Dexcom, Inc. Transcutaneous analyte sensor
US20100223022A1 (en) * 2004-07-13 2010-09-02 Dexcom, Inc. Transcutaneous analyte sensor
US20100223023A1 (en) * 2004-07-13 2010-09-02 Dexcom, Inc. Transcutaneous analyte sensor
US20080194938A1 (en) * 2004-07-13 2008-08-14 Dexcom, Inc. Transcutaneous medical device with variable stiffness
US8663109B2 (en) 2004-07-13 2014-03-04 Dexcom, Inc. Transcutaneous analyte sensor
US20100223013A1 (en) * 2004-07-13 2010-09-02 Dexcom, Inc. Transcutaneous analyte sensor
US7783333B2 (en) 2004-07-13 2010-08-24 Dexcom, Inc. Transcutaneous medical device with variable stiffness
US9775543B2 (en) 2004-07-13 2017-10-03 Dexcom, Inc. Transcutaneous analyte sensor
US9801572B2 (en) 2004-07-13 2017-10-31 Dexcom, Inc. Transcutaneous analyte sensor
US10722152B2 (en) 2004-07-13 2020-07-28 Dexcom, Inc. Analyte sensor
US20100191082A1 (en) * 2004-07-13 2010-07-29 Dexcom, Inc. Transcutaneous analyte sensor
US20060020188A1 (en) * 2004-07-13 2006-01-26 Dexcom, Inc. Transcutaneous analyte sensor
US20060020190A1 (en) * 2004-07-13 2006-01-26 Dexcom, Inc. Transcutaneous analyte sensor
US10799159B2 (en) 2004-07-13 2020-10-13 Dexcom, Inc. Analyte sensor
US10799158B2 (en) 2004-07-13 2020-10-13 Dexcom, Inc. Analyte sensor
US11064917B2 (en) 2004-07-13 2021-07-20 Dexcom, Inc. Analyte sensor
US10709363B2 (en) 2004-07-13 2020-07-14 Dexcom, Inc. Analyte sensor
US11045120B2 (en) 2004-07-13 2021-06-29 Dexcom, Inc. Analyte sensor
US8731630B2 (en) 2004-07-13 2014-05-20 Dexcom, Inc. Transcutaneous analyte sensor
US20060036141A1 (en) * 2004-07-13 2006-02-16 Dexcom, Inc. Transcutaneous analyte sensor
US8463350B2 (en) 2004-07-13 2013-06-11 Dexcom, Inc. Transcutaneous analyte sensor
US10709362B2 (en) 2004-07-13 2020-07-14 Dexcom, Inc. Analyte sensor
US7905833B2 (en) 2004-07-13 2011-03-15 Dexcom, Inc. Transcutaneous analyte sensor
US20090163791A1 (en) * 2004-07-13 2009-06-25 Dexcom, Inc. Transcutaneous analyte sensor
US11026605B1 (en) 2004-07-13 2021-06-08 Dexcom, Inc. Analyte sensor
US8571625B2 (en) 2004-07-13 2013-10-29 Dexcom, Inc. Transcutaneous analyte sensor
US8565849B2 (en) 2004-07-13 2013-10-22 Dexcom, Inc. Transcutaneous analyte sensor
US20060036144A1 (en) * 2004-07-13 2006-02-16 Dexcom, Inc. Transcutaneous analyte sensor
US8170803B2 (en) 2004-07-13 2012-05-01 Dexcom, Inc. Transcutaneous analyte sensor
US8565848B2 (en) 2004-07-13 2013-10-22 Dexcom, Inc. Transcutaneous analyte sensor
US9055901B2 (en) 2004-07-13 2015-06-16 Dexcom, Inc. Transcutaneous analyte sensor
US8515516B2 (en) 2004-07-13 2013-08-20 Dexcom, Inc. Transcutaneous analyte sensor
US10524703B2 (en) 2004-07-13 2020-01-07 Dexcom, Inc. Transcutaneous analyte sensor
US9060742B2 (en) 2004-07-13 2015-06-23 Dexcom, Inc. Transcutaneous analyte sensor
US10993642B2 (en) 2004-07-13 2021-05-04 Dexcom, Inc. Analyte sensor
US10993641B2 (en) 2004-07-13 2021-05-04 Dexcom, Inc. Analyte sensor
US10980452B2 (en) 2004-07-13 2021-04-20 Dexcom, Inc. Analyte sensor
US8792954B2 (en) 2004-07-13 2014-07-29 Dexcom, Inc. Transcutaneous analyte sensor
US8548551B2 (en) 2004-07-13 2013-10-01 Dexcom, Inc. Transcutaneous analyte sensor
US10813576B2 (en) 2004-07-13 2020-10-27 Dexcom, Inc. Analyte sensor
US10932700B2 (en) 2004-07-13 2021-03-02 Dexcom, Inc. Analyte sensor
US10827956B2 (en) 2004-07-13 2020-11-10 Dexcom, Inc. Analyte sensor
US8858434B2 (en) 2004-07-13 2014-10-14 Dexcom, Inc. Transcutaneous analyte sensor
US10918314B2 (en) 2004-07-13 2021-02-16 Dexcom, Inc. Analyte sensor
US8812072B2 (en) 2004-07-13 2014-08-19 Dexcom, Inc. Transcutaneous medical device with variable stiffness
US10918313B2 (en) 2004-07-13 2021-02-16 Dexcom, Inc. Analyte sensor
US8825127B2 (en) 2004-07-13 2014-09-02 Dexcom, Inc. Transcutaneous analyte sensor
US20070255122A1 (en) * 2004-08-30 2007-11-01 G.R. Enlightenment Ltd. Device and Method for Measuring Physiological Parameters
US7920906B2 (en) 2005-03-10 2011-04-05 Dexcom, Inc. System and methods for processing analyte sensor data for sensor calibration
US10918318B2 (en) 2005-03-10 2021-02-16 Dexcom, Inc. System and methods for processing analyte sensor data for sensor calibration
US10918317B2 (en) 2005-03-10 2021-02-16 Dexcom, Inc. System and methods for processing analyte sensor data for sensor calibration
US10610136B2 (en) 2005-03-10 2020-04-07 Dexcom, Inc. System and methods for processing analyte sensor data for sensor calibration
US10918316B2 (en) 2005-03-10 2021-02-16 Dexcom, Inc. System and methods for processing analyte sensor data for sensor calibration
US10898114B2 (en) 2005-03-10 2021-01-26 Dexcom, Inc. System and methods for processing analyte sensor data for sensor calibration
US10617336B2 (en) 2005-03-10 2020-04-14 Dexcom, Inc. System and methods for processing analyte sensor data for sensor calibration
US10856787B2 (en) 2005-03-10 2020-12-08 Dexcom, Inc. System and methods for processing analyte sensor data for sensor calibration
US10610135B2 (en) 2005-03-10 2020-04-07 Dexcom, Inc. System and methods for processing analyte sensor data for sensor calibration
US10925524B2 (en) 2005-03-10 2021-02-23 Dexcom, Inc. System and methods for processing analyte sensor data for sensor calibration
US10610137B2 (en) 2005-03-10 2020-04-07 Dexcom, Inc. System and methods for processing analyte sensor data for sensor calibration
US9078608B2 (en) 2005-03-10 2015-07-14 Dexcom, Inc. System and methods for processing analyte sensor data for sensor calibration
US8560037B2 (en) 2005-03-10 2013-10-15 Dexcom, Inc. System and methods for processing analyte sensor data for sensor calibration
US11000213B2 (en) 2005-03-10 2021-05-11 Dexcom, Inc. System and methods for processing analyte sensor data for sensor calibration
US8579816B2 (en) 2005-03-10 2013-11-12 Dexcom, Inc. System and methods for processing analyte sensor data for sensor calibration
US20100168545A1 (en) * 2005-03-10 2010-07-01 Dexcom, Inc. System and methods for processing analyte sensor data for sensor calibration
US20100168546A1 (en) * 2005-03-10 2010-07-01 Dexcom, Inc. System and methods for processing analyte sensor data for sensor calibration
US11051726B2 (en) 2005-03-10 2021-07-06 Dexcom, Inc. System and methods for processing analyte sensor data for sensor calibration
US10709364B2 (en) 2005-03-10 2020-07-14 Dexcom, Inc. System and methods for processing analyte sensor data for sensor calibration
US20100179402A1 (en) * 2005-03-10 2010-07-15 Dexcom, Inc. System and methods for processing analyte sensor data for sensor calibration
US8611978B2 (en) 2005-03-10 2013-12-17 Dexcom, Inc. System and methods for processing analyte sensor data for sensor calibration
US9220449B2 (en) 2005-03-10 2015-12-29 Dexcom, Inc. System and methods for processing analyte sensor data for sensor calibration
US20060258929A1 (en) * 2005-03-10 2006-11-16 Goode Paul V Jr System and methods for processing analyte sensor data for sensor calibration
US10743801B2 (en) 2005-03-10 2020-08-18 Dexcom, Inc. System and methods for processing analyte sensor data for sensor calibration
US9918668B2 (en) 2005-03-10 2018-03-20 Dexcom, Inc. System and methods for processing analyte sensor data for sensor calibration
US10716498B2 (en) 2005-03-10 2020-07-21 Dexcom, Inc. System and methods for processing analyte sensor data for sensor calibration
US9314196B2 (en) 2005-03-10 2016-04-19 Dexcom, Inc. System and methods for processing analyte sensor data for sensor calibration
US8912908B2 (en) 2005-04-28 2014-12-16 Proteus Digital Health, Inc. Communication system with remote activation
US8802183B2 (en) 2005-04-28 2014-08-12 Proteus Digital Health, Inc. Communication system with enhanced partial power source and method of manufacturing same
US9439582B2 (en) 2005-04-28 2016-09-13 Proteus Digital Health, Inc. Communication system with remote activation
US9597010B2 (en) 2005-04-28 2017-03-21 Proteus Digital Health, Inc. Communication system using an implantable device
US20110105864A1 (en) * 2005-04-28 2011-05-05 Timothy Robertson Pharma-Informatics System
US7978064B2 (en) 2005-04-28 2011-07-12 Proteus Biomedical, Inc. Communication system with partial power source
US20090227204A1 (en) * 2005-04-28 2009-09-10 Timothy Robertson Pharma-Informatics System
US8847766B2 (en) 2005-04-28 2014-09-30 Proteus Digital Health, Inc. Pharma-informatics system
US9649066B2 (en) 2005-04-28 2017-05-16 Proteus Digital Health, Inc. Communication system with partial power source
US8816847B2 (en) 2005-04-28 2014-08-26 Proteus Digital Health, Inc. Communication system with partial power source
US9681842B2 (en) 2005-04-28 2017-06-20 Proteus Digital Health, Inc. Pharma-informatics system
US20080284599A1 (en) * 2005-04-28 2008-11-20 Proteus Biomedical, Inc. Pharma-Informatics System
US11476952B2 (en) 2005-04-28 2022-10-18 Otsuka Pharmaceutical Co., Ltd. Pharma-informatics system
US10610128B2 (en) 2005-04-28 2020-04-07 Proteus Digital Health, Inc. Pharma-informatics system
US8730031B2 (en) 2005-04-28 2014-05-20 Proteus Digital Health, Inc. Communication system using an implantable device
US8674825B2 (en) 2005-04-28 2014-03-18 Proteus Digital Health, Inc. Pharma-informatics system
US10542909B2 (en) 2005-04-28 2020-01-28 Proteus Digital Health, Inc. Communication system with partial power source
US9198608B2 (en) 2005-04-28 2015-12-01 Proteus Digital Health, Inc. Communication system incorporated in a container
US9119554B2 (en) 2005-04-28 2015-09-01 Proteus Digital Health, Inc. Pharma-informatics system
US10517507B2 (en) 2005-04-28 2019-12-31 Proteus Digital Health, Inc. Communication system with enhanced partial power source and method of manufacturing same
US20100081894A1 (en) * 2005-04-28 2010-04-01 Proteus Biomedical, Inc. Communication system with partial power source
US9161707B2 (en) 2005-04-28 2015-10-20 Proteus Digital Health, Inc. Communication system incorporated in an ingestible product
US9962107B2 (en) 2005-04-28 2018-05-08 Proteus Digital Health, Inc. Communication system with enhanced partial power source and method of manufacturing same
US10813577B2 (en) 2005-06-21 2020-10-27 Dexcom, Inc. Analyte sensor
US8547248B2 (en) 2005-09-01 2013-10-01 Proteus Digital Health, Inc. Implantable zero-wire communications system
US20080306359A1 (en) * 2005-09-01 2008-12-11 Zdeblick Mark J Medical Diagnostic and Treatment Platform Using Near-Field Wireless Communication of Information Within a Patient's Body
US11399748B2 (en) 2005-11-01 2022-08-02 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US9078607B2 (en) 2005-11-01 2015-07-14 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US10952652B2 (en) 2005-11-01 2021-03-23 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US11103165B2 (en) 2005-11-01 2021-08-31 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US11911151B1 (en) 2005-11-01 2024-02-27 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8920319B2 (en) 2005-11-01 2014-12-30 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US11272867B2 (en) 2005-11-01 2022-03-15 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US9326716B2 (en) 2005-11-01 2016-05-03 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US8915850B2 (en) 2005-11-01 2014-12-23 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US10231654B2 (en) 2005-11-01 2019-03-19 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US11363975B2 (en) 2005-11-01 2022-06-21 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US10201301B2 (en) 2005-11-01 2019-02-12 Abbott Diabetes Care Inc. Analyte monitoring device and methods of use
US20070119928A1 (en) * 2005-11-17 2007-05-31 Jung Edward K Generating a nutraceutical request from an inventory
US10042980B2 (en) 2005-11-17 2018-08-07 Gearbox Llc Providing assistance related to health
US20070112591A1 (en) * 2005-11-17 2007-05-17 Jung Edward K Generating a request from a nutraceutical inventory
US20070112587A1 (en) * 2005-11-17 2007-05-17 Searete Llc, A Limited Liability Corporation Of The State Of Delaware Providing assistance related to health
US20070124218A1 (en) * 2005-11-30 2007-05-31 Searete Llc, A Limited Liability Corporation Of The State Of Delaware Computational and/or control systems related to individualized nutraceutical selection and packaging
US10296720B2 (en) 2005-11-30 2019-05-21 Gearbox Llc Computational systems and methods related to nutraceuticals
US20110145009A1 (en) * 2005-11-30 2011-06-16 Jung Edward K Y Methods and systems related to transmission of nutraceutical associatd information
US20070124219A1 (en) * 2005-11-30 2007-05-31 Searete Llc, A Limited Liability Corporation Of The State Of Delaware Computational and/or control systems related to individualized nutraceutical selection and packaging
US20070136092A1 (en) * 2005-11-30 2007-06-14 Searete Llc, A Limited Liability Corporation Of The State Of Delaware Computational and/or control systems related to individualized pharmaceutical and nutraceutical selection and packaging
US20070124175A1 (en) * 2005-11-30 2007-05-31 Searete Llc, A Limited Liability Corporation Of The State Of Delaware. Computational and/or control systems and methods related to nutraceutical agent selection and dosing
US11355238B2 (en) * 2006-01-05 2022-06-07 University Of Virginia Patent Foundation Method, system and computer program product for evaluation of blood glucose variability in diabetes from self-monitoring data
US8152730B2 (en) 2006-01-31 2012-04-10 Medtronic, Inc. Method for continuous baroreflex sensitivity measurement
US20070179385A1 (en) * 2006-01-31 2007-08-02 Cho Yong K Method for continuous baroreflex sensitivity measurement
US7874992B2 (en) * 2006-01-31 2011-01-25 Medtronic, Inc. Method for continuous baroreflex sensitivity measurement
US8172787B2 (en) * 2006-04-13 2012-05-08 Stryker Corporation Method and apparatus to detect biocontamination in an insufflator for use in endoscopy
US20070244424A1 (en) * 2006-04-13 2007-10-18 Stryker Corporation Method and Apparatus to Detect Biocontamination in an Insufflator for use in Endoscopy
US8836513B2 (en) 2006-04-28 2014-09-16 Proteus Digital Health, Inc. Communication system incorporated in an ingestible product
US20090076338A1 (en) * 2006-05-02 2009-03-19 Zdeblick Mark J Patient customized therapeutic regimens
US8956287B2 (en) 2006-05-02 2015-02-17 Proteus Digital Health, Inc. Patient customized therapeutic regimens
US7920907B2 (en) 2006-06-07 2011-04-05 Abbott Diabetes Care Inc. Analyte monitoring system and method
US20070289258A1 (en) * 2006-06-14 2007-12-20 Searete Llc, A Limited Liability Corporation Of The State Of Delaware Individualized pharmaceutical selection and packaging
US20070299693A1 (en) * 2006-06-23 2007-12-27 Searete Llc, A Limited Liability Corporation Customized visual marking for medication labeling
US20080020037A1 (en) * 2006-07-11 2008-01-24 Robertson Timothy L Acoustic Pharma-Informatics System
US11432772B2 (en) 2006-08-02 2022-09-06 Dexcom, Inc. Systems and methods for replacing signal artifacts in a glucose sensor data stream
US10349873B2 (en) 2006-10-04 2019-07-16 Dexcom, Inc. Analyte sensor
US9451908B2 (en) 2006-10-04 2016-09-27 Dexcom, Inc. Analyte sensor
US11382539B2 (en) 2006-10-04 2022-07-12 Dexcom, Inc. Analyte sensor
US11399745B2 (en) 2006-10-04 2022-08-02 Dexcom, Inc. Dual electrode system for a continuous analyte sensor
US8054140B2 (en) 2006-10-17 2011-11-08 Proteus Biomedical, Inc. Low voltage oscillator for medical devices
US8945005B2 (en) 2006-10-25 2015-02-03 Proteus Digital Health, Inc. Controlled activation ingestible identifier
US11357730B2 (en) 2006-10-25 2022-06-14 Otsuka Pharmaceutical Co., Ltd. Controlled activation ingestible identifier
US20100239616A1 (en) * 2006-10-25 2010-09-23 Hooman Hafezi Controlled activation ingestible identifier
US10238604B2 (en) 2006-10-25 2019-03-26 Proteus Digital Health, Inc. Controlled activation ingestible identifier
US9444503B2 (en) 2006-11-20 2016-09-13 Proteus Digital Health, Inc. Active signal processing personal health signal receivers
US20100316158A1 (en) * 2006-11-20 2010-12-16 Lawrence Arne Active signal processing personal health signal receivers
US8718193B2 (en) 2006-11-20 2014-05-06 Proteus Digital Health, Inc. Active signal processing personal health signal receivers
US9083589B2 (en) 2006-11-20 2015-07-14 Proteus Digital Health, Inc. Active signal processing personal health signal receivers
US10441194B2 (en) 2007-02-01 2019-10-15 Proteus Digital Heal Th, Inc. Ingestible event marker systems
US8858432B2 (en) 2007-02-01 2014-10-14 Proteus Digital Health, Inc. Ingestible event marker systems
US20100185055A1 (en) * 2007-02-01 2010-07-22 Timothy Robertson Ingestible event marker systems
US8956288B2 (en) 2007-02-14 2015-02-17 Proteus Digital Health, Inc. In-body power source having high surface area electrode
US11464423B2 (en) 2007-02-14 2022-10-11 Otsuka Pharmaceutical Co., Ltd. In-body power source having high surface area electrode
US10022499B2 (en) 2007-02-15 2018-07-17 Abbott Diabetes Care Inc. Device and method for automatic data acquisition and/or detection
US10617823B2 (en) 2007-02-15 2020-04-14 Abbott Diabetes Care Inc. Device and method for automatic data acquisition and/or detection
US9801545B2 (en) 2007-03-01 2017-10-31 Abbott Diabetes Care Inc. Method and apparatus for providing rolling data in communication systems
US8932221B2 (en) 2007-03-09 2015-01-13 Proteus Digital Health, Inc. In-body device having a multi-directional transmitter
US20100022836A1 (en) * 2007-03-09 2010-01-28 Olivier Colliou In-body device having a multi-directional transmitter
US9270025B2 (en) 2007-03-09 2016-02-23 Proteus Digital Health, Inc. In-body device having deployable antenna
US10194846B2 (en) 2007-04-14 2019-02-05 Abbott Diabetes Care Inc. Method and apparatus for providing dynamic multi-stage signal amplification in a medical device
US9743866B2 (en) 2007-04-14 2017-08-29 Abbott Diabetes Care Inc. Method and apparatus for providing dynamic multi-stage signal amplification in a medical device
US9649057B2 (en) 2007-05-08 2017-05-16 Abbott Diabetes Care Inc. Analyte monitoring system and methods
US10178954B2 (en) 2007-05-08 2019-01-15 Abbott Diabetes Care Inc. Analyte monitoring system and methods
US10653317B2 (en) 2007-05-08 2020-05-19 Abbott Diabetes Care Inc. Analyte monitoring system and methods
US10952611B2 (en) 2007-05-08 2021-03-23 Abbott Diabetes Care Inc. Analyte monitoring system and methods
US9949678B2 (en) 2007-05-08 2018-04-24 Abbott Diabetes Care Inc. Method and device for determining elapsed sensor life
US11696684B2 (en) 2007-05-08 2023-07-11 Abbott Diabetes Care Inc. Analyte monitoring system and methods
US8540632B2 (en) 2007-05-24 2013-09-24 Proteus Digital Health, Inc. Low profile antenna for in body device
US10517506B2 (en) 2007-05-24 2019-12-31 Proteus Digital Health, Inc. Low profile antenna for in body device
US20080306360A1 (en) * 2007-05-24 2008-12-11 Robertson Timothy L Low profile antenna for in body device
US8115618B2 (en) 2007-05-24 2012-02-14 Proteus Biomedical, Inc. RFID antenna for in-body device
US9741139B2 (en) 2007-06-08 2017-08-22 Dexcom, Inc. Integrated medicament delivery device for use with continuous analyte sensor
US8562558B2 (en) 2007-06-08 2013-10-22 Dexcom, Inc. Integrated medicament delivery device for use with continuous analyte sensor
US20080306435A1 (en) * 2007-06-08 2008-12-11 Dexcom, Inc. Integrated medicament delivery device for use with continuous analyte sensor
US10403012B2 (en) 2007-06-08 2019-09-03 Dexcom, Inc. Integrated medicament delivery device for use with continuous analyte sensor
US11373347B2 (en) 2007-06-08 2022-06-28 Dexcom, Inc. Integrated medicament delivery device for use with continuous analyte sensor
US20220273203A1 (en) * 2007-07-31 2022-09-01 Abbott Diabetes Care Inc. Method and apparatus for providing data processing and control in a medical communication system
US8961412B2 (en) 2007-09-25 2015-02-24 Proteus Digital Health, Inc. In-body device with virtual dipole signal amplification
US9433371B2 (en) 2007-09-25 2016-09-06 Proteus Digital Health, Inc. In-body device with virtual dipole signal amplification
US11744943B2 (en) 2007-10-09 2023-09-05 Dexcom, Inc. Integrated insulin delivery system with continuous glucose sensor
US11160926B1 (en) 2007-10-09 2021-11-02 Dexcom, Inc. Pre-connected analyte sensors
US10653835B2 (en) 2007-10-09 2020-05-19 Dexcom, Inc. Integrated insulin delivery system with continuous glucose sensor
US8417312B2 (en) 2007-10-25 2013-04-09 Dexcom, Inc. Systems and methods for processing sensor data
US9717449B2 (en) 2007-10-25 2017-08-01 Dexcom, Inc. Systems and methods for processing sensor data
US10182751B2 (en) 2007-10-25 2019-01-22 Dexcom, Inc. Systems and methods for processing sensor data
US11272869B2 (en) 2007-10-25 2022-03-15 Dexcom, Inc. Systems and methods for processing sensor data
US20100268043A1 (en) * 2007-11-07 2010-10-21 Ofer Yodfat Device and Method for Preventing Diabetic Complications
US20090135886A1 (en) * 2007-11-27 2009-05-28 Proteus Biomedical, Inc. Transbody communication systems employing communication channels
US11612321B2 (en) 2007-11-27 2023-03-28 Otsuka Pharmaceutical Co., Ltd. Transbody communication systems employing communication channels
US9135402B2 (en) 2007-12-17 2015-09-15 Dexcom, Inc. Systems and methods for processing sensor data
US9839395B2 (en) 2007-12-17 2017-12-12 Dexcom, Inc. Systems and methods for processing sensor data
US9901307B2 (en) 2007-12-17 2018-02-27 Dexcom, Inc. Systems and methods for processing sensor data
US8290559B2 (en) 2007-12-17 2012-10-16 Dexcom, Inc. Systems and methods for processing sensor data
US11342058B2 (en) 2007-12-17 2022-05-24 Dexcom, Inc. Systems and methods for processing sensor data
US20090156924A1 (en) * 2007-12-17 2009-06-18 Dexcom, Inc. Systems and methods for processing sensor data
US9339238B2 (en) 2007-12-17 2016-05-17 Dexcom, Inc. Systems and methods for processing sensor data
US9149234B2 (en) 2007-12-17 2015-10-06 Dexcom, Inc. Systems and methods for processing sensor data
US9149233B2 (en) 2007-12-17 2015-10-06 Dexcom, Inc. Systems and methods for processing sensor data
US10827980B2 (en) 2007-12-17 2020-11-10 Dexcom, Inc. Systems and methods for processing sensor data
US10506982B2 (en) 2007-12-17 2019-12-17 Dexcom, Inc. Systems and methods for processing sensor data
US8591455B2 (en) 2008-02-21 2013-11-26 Dexcom, Inc. Systems and methods for customizing delivery of sensor data
US20090240193A1 (en) * 2008-02-21 2009-09-24 Dexcom, Inc. Systems and methods for customizing delivery of sensor data
US9020572B2 (en) 2008-02-21 2015-04-28 Dexcom, Inc. Systems and methods for processing, transmitting and displaying sensor data
US20090240128A1 (en) * 2008-02-21 2009-09-24 Dexcom, Inc. Systems and methods for blood glucose monitoring and alert delivery
US11102306B2 (en) 2008-02-21 2021-08-24 Dexcom, Inc. Systems and methods for processing, transmitting and displaying sensor data
US8229535B2 (en) 2008-02-21 2012-07-24 Dexcom, Inc. Systems and methods for blood glucose monitoring and alert delivery
US20090240120A1 (en) * 2008-02-21 2009-09-24 Dexcom, Inc. Systems and methods for processing, transmitting and displaying sensor data
US9143569B2 (en) 2008-02-21 2015-09-22 Dexcom, Inc. Systems and methods for processing, transmitting and displaying sensor data
US8542123B2 (en) 2008-03-05 2013-09-24 Proteus Digital Health, Inc. Multi-mode communication ingestible event markers and systems, and methods of using the same
US20090256702A1 (en) * 2008-03-05 2009-10-15 Timothy Robertson Multi-mode communication ingestible event markers and systems, and methods of using the same
US9060708B2 (en) 2008-03-05 2015-06-23 Proteus Digital Health, Inc. Multi-mode communication ingestible event markers and systems, and methods of using the same
US8258962B2 (en) 2008-03-05 2012-09-04 Proteus Biomedical, Inc. Multi-mode communication ingestible event markers and systems, and methods of using the same
US8810409B2 (en) 2008-03-05 2014-08-19 Proteus Digital Health, Inc. Multi-mode communication ingestible event markers and systems, and methods of using the same
US9258035B2 (en) 2008-03-05 2016-02-09 Proteus Digital Health, Inc. Multi-mode communication ingestible event markers and systems, and methods of using the same
US20090242425A1 (en) * 2008-03-25 2009-10-01 Dexcom, Inc. Analyte sensor
US10602968B2 (en) 2008-03-25 2020-03-31 Dexcom, Inc. Analyte sensor
US11896374B2 (en) 2008-03-25 2024-02-13 Dexcom, Inc. Analyte sensor
US8396528B2 (en) 2008-03-25 2013-03-12 Dexcom, Inc. Analyte sensor
US9603550B2 (en) 2008-07-08 2017-03-28 Proteus Digital Health, Inc. State characterization based on multi-variate data fusion techniques
US11217342B2 (en) 2008-07-08 2022-01-04 Otsuka Pharmaceutical Co., Ltd. Ingestible event marker data framework
US10682071B2 (en) 2008-07-08 2020-06-16 Proteus Digital Health, Inc. State characterization based on multi-variate data fusion techniques
US9415010B2 (en) 2008-08-13 2016-08-16 Proteus Digital Health, Inc. Ingestible circuitry
US8721540B2 (en) 2008-08-13 2014-05-13 Proteus Digital Health, Inc. Ingestible circuitry
US20110065983A1 (en) * 2008-08-13 2011-03-17 Hooman Hafezi Ingestible Circuitry
US8540633B2 (en) 2008-08-13 2013-09-24 Proteus Digital Health, Inc. Identifier circuits for generating unique identifiable indicators and techniques for producing same
WO2010019778A3 (en) * 2008-08-13 2010-04-29 Proteus Biomedical, Inc. Ingestible circuitry
US20100298668A1 (en) * 2008-08-13 2010-11-25 Hooman Hafezi Ingestible Circuitry
US20110212782A1 (en) * 2008-10-14 2011-09-01 Andrew Thompson Method and System for Incorporating Physiologic Data in a Gaming Environment
US10980461B2 (en) 2008-11-07 2021-04-20 Dexcom, Inc. Advanced analyte sensor calibration and error detection
US8036748B2 (en) 2008-11-13 2011-10-11 Proteus Biomedical, Inc. Ingestible therapy activator system and method
US8583227B2 (en) 2008-12-11 2013-11-12 Proteus Digital Health, Inc. Evaluation of gastrointestinal function using portable electroviscerography systems and methods of using the same
US9149577B2 (en) 2008-12-15 2015-10-06 Proteus Digital Health, Inc. Body-associated receiver and method
US8545436B2 (en) 2008-12-15 2013-10-01 Proteus Digital Health, Inc. Body-associated receiver and method
US9659423B2 (en) 2008-12-15 2017-05-23 Proteus Digital Health, Inc. Personal authentication apparatus system and method
US9439566B2 (en) 2008-12-15 2016-09-13 Proteus Digital Health, Inc. Re-wearable wireless device
US20100312188A1 (en) * 2008-12-15 2010-12-09 Timothy Robertson Body-Associated Receiver and Method
US8114021B2 (en) 2008-12-15 2012-02-14 Proteus Biomedical, Inc. Body-associated receiver and method
US9883819B2 (en) 2009-01-06 2018-02-06 Proteus Digital Health, Inc. Ingestion-related biofeedback and personalized medical therapy method and system
US8597186B2 (en) 2009-01-06 2013-12-03 Proteus Digital Health, Inc. Pharmaceutical dosages delivery system
US8540664B2 (en) 2009-03-25 2013-09-24 Proteus Digital Health, Inc. Probablistic pharmacokinetic and pharmacodynamic modeling
US9119918B2 (en) 2009-03-25 2015-09-01 Proteus Digital Health, Inc. Probablistic pharmacokinetic and pharmacodynamic modeling
US10675405B2 (en) 2009-03-27 2020-06-09 Dexcom, Inc. Methods and systems for simulating glucose response to simulated actions
US10610642B2 (en) 2009-03-27 2020-04-07 Dexcom, Inc. Methods and systems for promoting glucose management
US9446194B2 (en) 2009-03-27 2016-09-20 Dexcom, Inc. Methods and systems for promoting glucose management
US10537678B2 (en) 2009-03-27 2020-01-21 Dexcom, Inc. Methods and systems for promoting glucose management
US8545402B2 (en) 2009-04-28 2013-10-01 Proteus Digital Health, Inc. Highly reliable ingestible event markers and methods for using the same
US20110054265A1 (en) * 2009-04-28 2011-03-03 Hooman Hafezi Highly reliable ingestible event markers and methods for using the same
US10588544B2 (en) 2009-04-28 2020-03-17 Proteus Digital Health, Inc. Highly reliable ingestible event markers and methods for using the same
US9320455B2 (en) 2009-04-28 2016-04-26 Proteus Digital Health, Inc. Highly reliable ingestible event markers and methods for using the same
US9149423B2 (en) 2009-05-12 2015-10-06 Proteus Digital Health, Inc. Ingestible event markers comprising an ingestible component
US20100331654A1 (en) * 2009-06-30 2010-12-30 Lifescan Scotland Ltd. Systems for diabetes management and methods
US8688386B2 (en) 2009-06-30 2014-04-01 Lifescan, Inc. Analyte testing method and device for calculating basal insulin therapy
US20100332445A1 (en) * 2009-06-30 2010-12-30 Lifescan, Inc. Analyte testing method and system
US20100332142A1 (en) * 2009-06-30 2010-12-30 Lifescan,Inc. Analyte testing method and device for calculating basal insulin therapy
US8558563B2 (en) 2009-08-21 2013-10-15 Proteus Digital Health, Inc. Apparatus and method for measuring biochemical parameters
US11635332B2 (en) 2009-08-31 2023-04-25 Abbott Diabetes Care Inc. Analyte monitoring system and methods for managing power and noise
US9968302B2 (en) 2009-08-31 2018-05-15 Abbott Diabetes Care Inc. Analyte signal processing device and methods
US11150145B2 (en) 2009-08-31 2021-10-19 Abbott Diabetes Care Inc. Analyte monitoring system and methods for managing power and noise
US10429250B2 (en) 2009-08-31 2019-10-01 Abbott Diabetes Care, Inc. Analyte monitoring system and methods for managing power and noise
US11045147B2 (en) 2009-08-31 2021-06-29 Abbott Diabetes Care Inc. Analyte signal processing device and methods
US8974387B2 (en) 2009-09-29 2015-03-10 Lifescan Scotland Limited Analyte testing method and device for diabetes management
US20110077493A1 (en) * 2009-09-29 2011-03-31 Lifescan Scotland Ltd. Analyte testing method and device for diabetes mangement
US9750444B2 (en) 2009-09-30 2017-09-05 Abbott Diabetes Care Inc. Interconnect for on-body analyte monitoring device
US10765351B2 (en) 2009-09-30 2020-09-08 Abbott Diabetes Care Inc. Interconnect for on-body analyte monitoring device
US11259725B2 (en) 2009-09-30 2022-03-01 Abbott Diabetes Care Inc. Interconnect for on-body analyte monitoring device
US8868453B2 (en) 2009-11-04 2014-10-21 Proteus Digital Health, Inc. System for supply chain management
US9941931B2 (en) 2009-11-04 2018-04-10 Proteus Digital Health, Inc. System for supply chain management
US10305544B2 (en) 2009-11-04 2019-05-28 Proteus Digital Health, Inc. System for supply chain management
US8784308B2 (en) 2009-12-02 2014-07-22 Proteus Digital Health, Inc. Integrated ingestible event marker system with pharmaceutical product
US9014779B2 (en) 2010-02-01 2015-04-21 Proteus Digital Health, Inc. Data gathering system
US10376218B2 (en) 2010-02-01 2019-08-13 Proteus Digital Health, Inc. Data gathering system
US20110205064A1 (en) * 2010-02-25 2011-08-25 Lifescan Scotland Ltd. Analyte testing method and system with high and low blood glucose trends notification
US9563743B2 (en) 2010-02-25 2017-02-07 Lifescan Scotland Limited Analyte testing method and system with high and low blood glucose trends notification
US10207093B2 (en) 2010-04-07 2019-02-19 Proteus Digital Health, Inc. Miniature ingestible device
US11173290B2 (en) 2010-04-07 2021-11-16 Otsuka Pharmaceutical Co., Ltd. Miniature ingestible device
US9597487B2 (en) 2010-04-07 2017-03-21 Proteus Digital Health, Inc. Miniature ingestible device
US10529044B2 (en) 2010-05-19 2020-01-07 Proteus Digital Health, Inc. Tracking and delivery confirmation of pharmaceutical products
US9107806B2 (en) 2010-11-22 2015-08-18 Proteus Digital Health, Inc. Ingestible device with pharmaceutical product
US11504511B2 (en) 2010-11-22 2022-11-22 Otsuka Pharmaceutical Co., Ltd. Ingestible device with pharmaceutical product
US9439599B2 (en) 2011-03-11 2016-09-13 Proteus Digital Health, Inc. Wearable personal body associated device with various physical configurations
US9756874B2 (en) 2011-07-11 2017-09-12 Proteus Digital Health, Inc. Masticable ingestible product and communication system therefor
US11229378B2 (en) 2011-07-11 2022-01-25 Otsuka Pharmaceutical Co., Ltd. Communication system with enhanced partial power source and method of manufacturing same
US10223905B2 (en) 2011-07-21 2019-03-05 Proteus Digital Health, Inc. Mobile device and system for detection and communication of information received from an ingestible device
US9235683B2 (en) 2011-11-09 2016-01-12 Proteus Digital Health, Inc. Apparatus, system, and method for managing adherence to a regimen
US9271897B2 (en) 2012-07-23 2016-03-01 Proteus Digital Health, Inc. Techniques for manufacturing ingestible event markers comprising an ingestible component
US20150250386A1 (en) * 2012-09-28 2015-09-10 Csem Centre Suisse D'electronique Et De Microtechnique Sa -Recherche Et Developpement Implantable devices
US9268909B2 (en) 2012-10-18 2016-02-23 Proteus Digital Health, Inc. Apparatus, system, and method to adaptively optimize power dissipation and broadcast power in a power source for a communication device
US11149123B2 (en) 2013-01-29 2021-10-19 Otsuka Pharmaceutical Co., Ltd. Highly-swellable polymeric films and compositions comprising the same
US11741771B2 (en) 2013-03-15 2023-08-29 Otsuka Pharmaceutical Co., Ltd. Personal authentication apparatus system and method
US10175376B2 (en) 2013-03-15 2019-01-08 Proteus Digital Health, Inc. Metal detector apparatus, system, and method
US11158149B2 (en) 2013-03-15 2021-10-26 Otsuka Pharmaceutical Co., Ltd. Personal authentication apparatus system and method
US11744481B2 (en) 2013-03-15 2023-09-05 Otsuka Pharmaceutical Co., Ltd. System, apparatus and methods for data collection and assessing outcomes
US9796576B2 (en) 2013-08-30 2017-10-24 Proteus Digital Health, Inc. Container with electronically controlled interlock
US10421658B2 (en) 2013-08-30 2019-09-24 Proteus Digital Health, Inc. Container with electronically controlled interlock
US10097388B2 (en) 2013-09-20 2018-10-09 Proteus Digital Health, Inc. Methods, devices and systems for receiving and decoding a signal in the presence of noise using slices and warping
US10498572B2 (en) 2013-09-20 2019-12-03 Proteus Digital Health, Inc. Methods, devices and systems for receiving and decoding a signal in the presence of noise using slices and warping
US11102038B2 (en) 2013-09-20 2021-08-24 Otsuka Pharmaceutical Co., Ltd. Methods, devices and systems for receiving and decoding a signal in the presence of noise using slices and warping
US9787511B2 (en) 2013-09-20 2017-10-10 Proteus Digital Health, Inc. Methods, devices and systems for receiving and decoding a signal in the presence of noise using slices and warping
US9270503B2 (en) 2013-09-20 2016-02-23 Proteus Digital Health, Inc. Methods, devices and systems for receiving and decoding a signal in the presence of noise using slices and warping
US9577864B2 (en) 2013-09-24 2017-02-21 Proteus Digital Health, Inc. Method and apparatus for use with received electromagnetic signal at a frequency not known exactly in advance
US10084880B2 (en) 2013-11-04 2018-09-25 Proteus Digital Health, Inc. Social media networking based on physiologic information
US20200337615A1 (en) * 2013-11-14 2020-10-29 Dexcom, Inc. Devices and methods for continuous analyte monitoring
US10398161B2 (en) 2014-01-21 2019-09-03 Proteus Digital Heal Th, Inc. Masticable ingestible product and communication system therefor
US20190150803A1 (en) * 2014-06-06 2019-05-23 Dexcom, Inc. Fault discrimination and responsive processing based on data and context
US11051543B2 (en) 2015-07-21 2021-07-06 Otsuka Pharmaceutical Co. Ltd. Alginate on adhesive bilayer laminate film
US10413182B2 (en) 2015-07-24 2019-09-17 Johnson & Johnson Vision Care, Inc. Biomedical devices for biometric based information communication
US10187121B2 (en) 2016-07-22 2019-01-22 Proteus Digital Health, Inc. Electromagnetic sensing and detection of ingestible event markers
US10797758B2 (en) 2016-07-22 2020-10-06 Proteus Digital Health, Inc. Electromagnetic sensing and detection of ingestible event markers
US11529071B2 (en) 2016-10-26 2022-12-20 Otsuka Pharmaceutical Co., Ltd. Methods for manufacturing capsules with ingestible event markers
US11793419B2 (en) 2016-10-26 2023-10-24 Otsuka Pharmaceutical Co., Ltd. Methods for manufacturing capsules with ingestible event markers
US20180303388A1 (en) * 2017-03-06 2018-10-25 Medtronic Minimed, Inc. Colorometric sensor for the non-invasive screening of glucose in sweat in pre and type 2 diabetes
US11928614B2 (en) 2017-09-28 2024-03-12 Otsuka Pharmaceutical Co., Ltd. Patient customized therapeutic regimens
US11331022B2 (en) 2017-10-24 2022-05-17 Dexcom, Inc. Pre-connected analyte sensors
US11706876B2 (en) 2017-10-24 2023-07-18 Dexcom, Inc. Pre-connected analyte sensors
US11350862B2 (en) 2017-10-24 2022-06-07 Dexcom, Inc. Pre-connected analyte sensors
US11382540B2 (en) 2017-10-24 2022-07-12 Dexcom, Inc. Pre-connected analyte sensors
CN111855788A (en) * 2020-06-09 2020-10-30 江苏大学 Method for detecting cadmium element in live eriocheir sinensis based on electrochemical sensing technology

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