DIABETES THERAPY MANAGEMENT SYSTEM FOR RECOMMENDING BOLUS CALCULATOR ADJUSTMENTS

• US 20130345663A1
• Filed: 06/05/2013
• Published: 12/26/2013
• Est. Priority Date: 06/07/2012
• Status: Active Grant

• Current Assignee: Medtronic Minimed Incorporated (Medtronic Plc)
• Original Assignee: Medtronic Minimed Incorporated (Medtronic Plc)
• Inventors: Agrawal, Pratik, Kannard, Brian T., Kaufman, Francine R.
• Granted Patent: US 10,391,242 B2
• Time in Patent Office: Days
• US Class Current: 604/503
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/4839 combined with drug delivery
• 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: A61B 5/743 Displaying an image simultaneously with additional graphical information, e.g. symbols, charts, function plots
• CPC Class Codes: A61M 5/1723 using feedback of body parameters, e.g. blood-sugar, pressure measurement of body parameters A61B5/00
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 20/17 delivered via infusion or injection
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients

Abstract

A method of managing use of an insulin infusion device is presented here. The method identifies bolus calculator event data from glucose data for a user of the infusion device. The bolus calculator event data corresponds to use of a bolus calculator that calculates bolus dosage recommendations based on a user entered carbohydrate consumption value, a user entered current blood glucose value, a user specific carbohydrate ratio value, and a user specific insulin sensitivity value. The method filters the bolus calculator event data to remove glucose data associated with certain conditions, and analyzes the filtered data to detect an event occurrence that is indicative of potential maladjustment of the carbohydrate ratio value or the insulin sensitivity value. The method outputs a recommendation to adjust the carbohydrate ratio value or the insulin sensitivity value, based on characteristics of the detected event occurrence.

Claims

1. An electronic computing device comprising:

a processor device; and

at least one memory element associated with the processor device, the at least one memory element storing processor-executable instructions that, when executed by the processor device, perform a method of managing use of an insulin infusion device, the method comprising;

receiving glucose data for a user of the insulin infusion device, the glucose data indicating blood glucose levels of the user for a period of time during which the insulin infusion device is regulating delivery of insulin to the user;

reviewing the received glucose data to identify bolus calculator event data corresponding to use of a bolus calculator of the insulin infusion device, wherein the bolus calculator calculates each bolus dosage recommendation based on a respective user-entered carbohydrate consumption value, a respective user-entered current blood glucose value, and a user-specific bolus calculator setting;

analyzing the identified bolus calculator event data to detect one of a plurality of event occurrences indicative of potential maladjustment of the user-specific bolus calculator setting, resulting in a detected event occurrence; and

outputting a recommendation to adjust the user-specific bolus calculator setting of the insulin infusion device, wherein the recommendation is associated with the detected event occurrence.

2. The electronic device of claim 1, wherein the received glucose data indicates blood glucose levels of the user for the period of time over a plurality of days.

3. The electronic device of claim 1, wherein the received glucose data comprises sensor glucose data obtained from a continuous glucose monitor sensor.

4. The electronic device of claim 1, wherein the outputting comprises:

generating a report that includes the recommendation.

5. The electronic device of claim 1, wherein the method performed by the processor-executable instructions further comprises:

filtering the identified bolus calculator event data to remove glucose data associated with an override of a bolus dosage recommendation, an active insulin condition, or a back-to-back bolus condition, resulting in filtered bolus calculator event data;

wherein the analyzing step analyzes the filtered bolus calculator event data.

6. The electronic device of claim 1, wherein the method performed by the processor-executable instructions further comprises:

filtering the identified bolus calculator event data to isolate correction bolus events having no food bolus component or a minimal food bolus component;

wherein;

the user-specific bolus calculator setting comprises an insulin sensitivity value for the user; and

the recommendation comprises a suggestion to adjust the insulin sensitivity value.

7. The electronic device of claim 1, wherein the method performed by the processor-executable instructions further comprises:

filtering the identified bolus calculator event data to isolate food bolus events having no correction bolus component or a minimal correction bolus component;

wherein;

the user-specific bolus calculator setting comprises a carbohydrate ratio value for the user; and

the recommendation comprises a suggestion to adjust the carbohydrate ratio value.

8. The electronic device of claim 1, wherein:

the detected event occurrence comprises a long term hypoglycemic event occurring after a food bolus event;

the user-specific bolus calculator setting comprises a carbohydrate ratio value for the user; and

the recommendation comprises a suggestion to increase the carbohydrate ratio value.

9. The electronic device of claim 1, wherein:

the detected event occurrence comprises a long term hyperglycemic event occurring after a food bolus event;

the user-specific bolus calculator setting comprises a carbohydrate ratio value for the user; and

the recommendation comprises a suggestion to decrease the carbohydrate ratio value.

10. The electronic device of claim 1, wherein:

the detected event occurrence comprises a limited increase or decrease in blood glucose level occurring at a designated time after a food bolus event;

the user-specific bolus calculator setting comprises a carbohydrate ratio value for the user; and

the recommendation comprises a suggestion to increase the carbohydrate ratio value.

11. The electronic device of claim 1, wherein:

the detected event occurrence comprises a large increase in blood glucose level occurring at a designated time after a food bolus event;

the user-specific bolus calculator setting comprises a carbohydrate ratio value for the user; and

the recommendation comprises a suggestion to decrease the carbohydrate ratio value.

12. The electronic device of claim 1, wherein:

the detected event occurrence comprises a long term hypoglycemic event occurring after a correction bolus event;

the user-specific bolus calculator setting comprises an insulin sensitivity value for the user; and

the recommendation comprises a suggestion to increase the insulin sensitivity value.

13. The electronic device of claim 1, wherein:

the detected event occurrence comprises a long term hyperglycemic event occurring after a correction bolus event;

the user-specific bolus calculator setting comprises an insulin sensitivity value for the user; and

the recommendation comprises a suggestion to decrease the insulin sensitivity value.

14. The electronic device of claim 1, wherein:

the detected event occurrence comprises a rapid decrease in blood glucose level occurring at a designated time after a correction bolus event;

the user-specific bolus calculator setting comprises an insulin sensitivity value for the user; and

the recommendation comprises a suggestion to increase the insulin sensitivity value.

15. The electronic device of claim 1, wherein:

the detected event occurrence comprises a limited decrease or increase in blood glucose level occurring at a designated time after a correction bolus event;

the user-specific bolus calculator setting comprises an insulin sensitivity value for the user; and

the recommendation comprises a suggestion to decrease the insulin sensitivity value.

16. The electronic device of claim 1, wherein:

the detected event occurrence comprises a long term high glucose variability event occurring after a food bolus event; and

the recommendation comprises a suggestion related to dietary habits of the user.

17. The electronic device of claim 1, wherein:

the detected event occurrence comprises a high glucose variability event occurring at a designated time after a food bolus event; and

the recommendation comprises a suggestion related to dietary habits of the user.

18. The electronic device of claim 1, wherein:

the detected event occurrence comprises a high negative rate of change event occurring at a food bolus event; and

the recommendation comprises a suggestion to consume a meal earlier, relative to a corresponding food bolus infusion time.

19. The electronic device of claim 1, wherein:

the detected event occurrence comprises a high positive rate of change event occurring at a food bolus event; and

the recommendation comprises a suggestion to consume a meal later, relative to a corresponding food bolus infusion time.

20. The electronic device of claim 1, wherein:

the detected event occurrence comprises a long term high glucose variability event occurring after a correction bolus event; and

the recommendation comprises a suggestion related to use of a glucose meter and a glucose sensor.

21. The electronic device of claim 1, wherein:

the detected event occurrence comprises a high glucose variability event occurring at a designated time after a correction bolus event; and

the recommendation comprises a suggestion related to use of a glucose meter and a glucose sensor.

22. A tangible and non-transitory electronic storage medium having processor-executable instructions that, when executed by a processor device, perform a method of managing use of an insulin infusion device, the method comprising:

identifying bolus calculator event data from glucose data for a user of the insulin infusion device, the identified bolus calculator event data corresponding to use of a bolus calculator of the insulin infusion device, wherein the bolus calculator calculates each bolus dosage recommendation based on a respective user-entered carbohydrate consumption value, a respective user-entered current blood glucose value, and a user-specific bolus calculator setting;

analyzing the identified bolus calculator event data to detect an event occurrence that is indicative of potential maladjustment of the user-specific bolus calculator setting; and

outputting a recommendation to adjust the user-specific bolus calculator setting of the insulin infusion device, wherein the recommendation is associated with the detected event occurrence.

23. The electronic storage medium of claim 22, wherein the outputting comprises:

generating a report that includes the recommendation.

24. The electronic storage medium of claim 22, wherein the method performed by the processor-executable instructions further comprises:

filtering the identified bolus calculator event data to remove glucose data associated with an override of a bolus dosage recommendation, an active insulin condition, or a back-to-back bolus condition, resulting in filtered bolus calculator event data;

wherein the analyzing step analyzes the filtered bolus calculator event data.

25. The electronic storage medium of claim 22, wherein the method performed by the processor-executable instructions further comprises:

filtering the identified bolus calculator event data to isolate correction bolus events having no food bolus component;

wherein;

the user-specific bolus calculator setting comprises an insulin sensitivity value for the user; and

the recommendation comprises a suggestion to adjust the insulin sensitivity value.

26. The electronic storage medium of claim 22, wherein the method performed by the processor-executable instructions further comprises:

filtering the identified bolus calculator event data to isolate food bolus events having no correction bolus component;

wherein;

the user-specific bolus calculator setting comprises a carbohydrate ratio value for the user; and

the recommendation comprises a suggestion to adjust the carbohydrate ratio value.

27. The electronic storage medium of claim 22, wherein:

the detected event occurrence comprises a long term hypoglycemic event occurring after a food bolus event;

the user-specific bolus calculator setting comprises a carbohydrate ratio value for the user; and

the recommendation comprises a suggestion to increase the carbohydrate ratio value.

28. The electronic storage medium of claim 22, wherein:

the detected event occurrence comprises a long term hyperglycemic event occurring after a food bolus event;

the user-specific bolus calculator setting comprises a carbohydrate ratio value for the user; and

the recommendation comprises a suggestion to decrease the carbohydrate ratio value.

29. The electronic storage medium of claim 22, wherein:

the detected event occurrence comprises a limited increase or decrease in blood glucose level occurring at a designated time after a food bolus event;

the user-specific bolus calculator setting comprises a carbohydrate ratio value for the user; and

the recommendation comprises a suggestion to increase the carbohydrate ratio value.

30. The electronic storage medium of claim 22, wherein:

the detected event occurrence comprises a large increase in blood glucose level occurring at a designated time after a food bolus event;

the user-specific bolus calculator setting comprises a carbohydrate ratio value for the user; and

the recommendation comprises a suggestion to decrease the carbohydrate ratio value.

31. The electronic storage medium of claim 22, wherein:

the detected event occurrence comprises a high glucose variability event occurring after a food bolus event; and

the recommendation comprises a suggestion related to dietary habits of the user.

32. The electronic storage medium of claim 22, wherein:

the detected event occurrence comprises a long term hypoglycemic event occurring after a correction bolus event;

the user-specific bolus calculator setting comprises an insulin sensitivity value for the user; and

the recommendation comprises a suggestion to increase the insulin sensitivity value.

33. The electronic storage medium of claim 22, wherein:

the detected event occurrence comprises a long term hyperglycemic event occurring after a correction bolus event;

the user-specific bolus calculator setting comprises an insulin sensitivity value for the user; and

the recommendation comprises a suggestion to decrease the insulin sensitivity value.

34. The electronic storage medium of claim 22, wherein:

the detected event occurrence comprises a rapid decrease in blood glucose level occurring at a designated time after a correction bolus event;

the user-specific bolus calculator setting comprises an insulin sensitivity value for the user; and

the recommendation comprises a suggestion to increase the insulin sensitivity value.

35. The electronic storage medium of claim 22, wherein:

the detected event occurrence comprises a limited decrease or increase in blood glucose level occurring at a designated time after a correction bolus event;

the user-specific bolus calculator setting comprises an insulin sensitivity value for the user; and

the recommendation comprises a suggestion to decrease the insulin sensitivity value.

36. The electronic storage medium of claim 22, wherein:

the detected event occurrence comprises a high glucose variability event occurring at a designated time after a food bolus event; and

the recommendation comprises a suggestion related to dietary habits of the user.

37. The electronic storage medium of claim 22, wherein:

the detected event occurrence comprises high negative rate of change event occurring at a food bolus event; and

the recommendation comprises a suggestion to consume a meal earlier, relative to a corresponding bolus infusion time.

38. The electronic storage medium of claim 22, wherein:

the detected event occurrence comprises a high positive rate of change event occurring at a food bolus event; and

the recommendation comprises a suggestion to consume a meal later, relative to a bolus infusion time.

39. The electronic storage medium of claim 22, wherein:

the detected event occurrence comprises a long term high glucose variability event occurring after a correction bolus event; and

the recommendation comprises a suggestion related to use of a glucose meter and a glucose sensor.

40. The electronic storage medium of claim 22, wherein:

the detected event occurrence comprises a high glucose variability event occurring at a designated time after a correction bolus event; and

the recommendation comprises a suggestion related to use of a glucose meter and a glucose sensor.

41. A method of managing use of an insulin infusion device, the method comprising:

identifying bolus calculator event data from glucose data for a user of the insulin infusion device, the identified bolus calculator event data corresponding to use of a bolus calculator of the insulin infusion device, wherein the bolus calculator calculates each bolus dosage recommendation based on a respective user-entered carbohydrate consumption value, a respective user-entered current blood glucose value, a user-specific carbohydrate ratio value, and a user-specific insulin sensitivity value;

filtering the identified bolus calculator event data to remove glucose data associated with an override of a bolus dosage recommendation, an active insulin condition, or a back-to-back bolus condition, resulting in filtered bolus calculator event data;

analyzing the filtered bolus calculator event data to detect an event occurrence that is indicative of potential maladjustment of the user-specific carbohydrate ratio value or the user-specific insulin sensitivity value; and

outputting a recommendation to adjust the user-specific carbohydrate ratio value or the user-specific insulin sensitivity value, based on characteristics of the detected event occurrence.

42. The method of claim 41, further comprising:

processing the filtered bolus calculator event data to isolate correction bolus events having no food bolus component, resulting in isolated correction bolus events;

wherein;

the analyzing step analyzes only the isolated correction bolus events to detect an event occurrence that is indicative of potential maladjustment of the user-specific insulin sensitivity value; and

the recommendation comprises a suggestion to adjust the insulin sensitivity value.

43. The method of claim 41, further comprising:

processing the filtered bolus calculator event data to isolate food bolus events having no correction bolus component, resulting in isolated food bolus events;

wherein;

the analyzing step analyzes only the isolated food bolus events to detect an event occurrence that is indicative of potential maladjustment of the user-specific carbohydrate ratio value; and

the recommendation comprises a suggestion to adjust the carbohydrate ratio value.