Health-monitoring device

• US 8,924,160 B2
• Filed: 08/11/2010
• Issued: 12/30/2014
• Est. Priority Date: 04/01/2003
• Status: Active Grant

• Current Assignee: Abbott Diabetes Care Incorporated (Abbott Laboratories Incorporated)
• Original Assignee: Abbott Diabetes Care Incorporated (Abbott Laboratories Incorporated)
• Inventors: Moerman, Piet
• Primary Examiner(s): Riggs, II, Larry D
• Application Number:
  US12/854,700
• Publication Number:
  US 20110034793A1
• Time in Patent Office: 1,602 Days
• US Class Current: 702/19
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: A61P 3/10 for hyperglycaemia, e.g. antidiabetics
• CPC Class Codes: G01N 21/8483 Investigating reagent band test-element handling not specific to a test method G01N33/4875; analytical elements specific to chemical analysis of biological material G01N33/52; autometer with reagent band G01N35/04
• CPC Class Codes: G16H 40/63 for local operation

Abstract

A health-monitoring device assesses the health of a user based on levels of two analytes in a biological fluid. A first analyte that is utilized to assess a user'"'"'s health is a fat metabolism analyte, such as ketones, free fatty acids and glycerol, which is indicative of fat metabolism. A second analyte that is utilized is a glucose metabolism analyte, such as glucose. The levels of the two analytes may be used to assess insulin sensitivity, to detect both recent hypoglycemia and the cause of high glucose levels, and/or to guide therapeutic intervention. The dual analyte model may calculate a discrepancy between an actual insulin activity level and a theoretical insulin activity level. The dual analyte model of the present invention may be used to identify individuals at risk for metabolic syndrome, insulin resistance and non-insulin dependent diabetes, and allows monitoring of the progression of those disease states, as well as progress made by therapeutic interventions.

Claims

1. A health-monitoring device, comprising:

a housing;

a test port in communication with the housing, wherein the test port is configured to receive a test strip;

a processor in communication with the housing and configured to determine a plurality of blood glucose concentrations over a plurality of days from blood samples deposited on test strips received at the test port;

a storage unit in communication with the housing and comprising one ore more programs executable by the processor for

determining the concentration of glucose in the blood samples deposited on the test strips, and

detecting a pattern in the subject'"'"'s blood glucose levels determined from the blood samples deposited on the test strips over a same period of time over a plurality of days,

wherein the period of time is a sub-period of time within a day; and

a display coupled to the housing and configured to output information comprising the determined blood glucose concentration,

an indication of the detected pattern in the subject'"'"'s blood glucose levels over a same period of time over a plurality of days, and

an indication of impending hypoglycemia or hyperglycemia in the subject based on the detected pattern in the subject'"'"'s blood glucose levels over a same period of time over a plurality of days.

2. The health-monitoring device of claim 1, wherein the test strip is an electrochemical test strip or a photometric test strip.

3. The health-monitoring device of claim 1, wherein the housing further comprises a data communication port operatively coupled to the processor.

4. The health-monitoring device of claim 3, wherein the data communication port is configured for one or more of electrical communication, acoustic communication, optical communication, or radio wave communication.

5. The health-monitoring device of claim 3, wherein the data communication port is configured for infrared communication.

6. The health-monitoring device of claim 3, wherein the data communication port is configured to communicate with a database at a remote site.

7. The health-monitoring device of claim 6, wherein the data communication port is configured to download data from the database at the remote site through a network.

8. The health-monitoring device of claim 6, wherein the data communication port is configured to upload data to the database at the remote site through a network.

9. The health-monitoring device of claim 3, wherein the data communication port is configured to download a program to the storage unit through a network.

10. The health-monitoring device of claim 8, wherein the data comprises one or more of

the determined blood glucose concentration,

the indication of the detected pattern in the subject'"'"'s blood glucose levels over a same period of time over a plurality of days, and

the indication of impending hypoglycemia or hyperglycemia in the subject based on the detected pattern in the subject'"'"'s blood glucose levels over a same period of time over a plurality of days.

11. The health-monitoring device of claim 1, wherein the glucose concentration is a fasting blood glucose concentration.

12. The health-monitoring device of claim 1, wherein the processor is configured to determine the concentration of blood glucose and a concentration of a second analyte.

13. The health-monitoring device of claim 12, wherein the second analyte is a fat metabolism analyte.

14. The health-monitoring device of claim 13, wherein the fat metabolism analyte comprises free fatty acids, ketones, glycerol, or any analyte that is indicative of lipolysis.

15. The health-monitoring device of claim 13, wherein the fat metabolism analyte is a ketone.

16. The health-monitoring device of claim 1, wherein the subject is an adolescent subject.

17. The health-monitoring device of claim 1, wherein the display is configured to provide graphic representations and/or text summaries of the information.

18. The health-monitoring device of claim 1, wherein the display is configured to provide information indicative of food consumption, hypoglycemia, hyperglycemia, or medication dosage.

19. The health-monitoring device of claim 1, wherein the processor is configured to process a daily regimen of outputs and display the outputs over the course of a period of time.

20. The health-monitoring device of claim 19, wherein the period of time is at least one month.

21. The health-monitoring device of claim 1, wherein the storage unit comprises an algorithm executable by the processor for determining an insulin resistance factor, wherein the algorithm involves the determined blood glucose concentration.

22. The health-monitoring device of claim 21, wherein the display is configured to output the insulin resistance factor.

23. The health-monitoring device of claim 1, wherein the processor provides for automatic or manual entry of user defined data.

24. The health-monitoring device of claim 23, wherein the health-monitoring device comprises a user interface for the manual entry of user defined data.

25. The health-monitoring device of claim 24, wherein the user interface comprises one or more buttons.

26. The health-monitoring device of claim 25, wherein the display is configured to display menu options which are navigable using the one or more buttons.

27. The health-monitoring device of claim 23, wherein the user defined data comprises analyte levels, gender, exercise, body mass index, weight, body composition, meal intake, or medication dosages and times.

28. The health-monitoring device of claim 1, wherein the display comprises an indicator activatable when the detected pattern in the subject'"'"'s blood glucose levels over a same period of time over a plurality of days indicates impending hypoglycemia in the subject.

29. The health-monitoring device of claim 1, wherein the display comprises an indicator activatable when the detected pattern in the subject'"'"'s blood glucose levels over a same period of time over a plurality of days indicates impending hyperglycemia in the subject.

30. The health-monitoring device of claim 1, wherein the processor is configured to provide a preventative recommendation to the user to avoid imminent hypoglycemia through the display.

31. The health-monitoring device of claim 30, wherein the preventative recommendation is consumption of slow absorbing carbohydrates.

32. The health-monitoring device of claim 1, wherein the health-monitoring device comprises a sampling device for providing a blood sample from a user.

33. The health-monitoring device of claim 32, wherein the sampling device is a lancet or a needle.

34. The health-monitoring device of claim 32, wherein the sampling device is a lancet and the lancet comprises a variable depth selector for setting the penetration depth of the lancet.

35. The health-monitoring device of claim 1, wherein detecting a pattern in the subject'"'"'s blood glucose levels determined from the blood samples deposited on the test strips over a same period of time over a plurality of days includes identifying evening patterns and/or morning patterns.

36. The health-monitoring device of claim 1, wherein the one or more programs executable by the processor include a program executable by the processor for determining a medication dosage based on the determined blood glucose concentration.

37. The health-monitoring device of claim 36, wherein the one or more programs comprises an algorithm for determining the medication dosage.

38. The health-monitoring device of claim 36, wherein the medication is insulin.

39. The health-monitoring device of claim 38, wherein the insulin includes one or more of fast acting insulin and long acting insulin.

40. The health-monitoring device of claim 1, wherein the sub-period of time is morning, night, or bedtime.

41. The health-monitoring device of claim 1, wherein the sub-period of time is 6AM-9AM, 9AM-12PM, 12PM-3PM, 3PM-6PM, 6PM-9PM, or 9PM-12AM.