SYSTEMS AND METHODS FOR MANAGING GLYCEMIC VARIABILITY

• US 20140129151A1
• Filed: 03/08/2013
• Published: 05/08/2014
• Est. Priority Date: 11/07/2012
• Status: Abandoned Application

• Current Assignee: DexCom Incorporated
• Original Assignee: DexCom Incorporated
• Inventors: Bhavaraju, Naresh C., Garcia, Arturo, Mayou, Phil, Peyser, Thomas A., Kamath, Apurv Ullas, Mahalingam, Aarthi, Sayer, Kevin, Hall, Thomas, Mensinger, Michael Robert, Hampapuram, Hari, Price, David, Valdes, Jorge, Kazalbash, Murrad
• Application Number:
  US13/790,281
• Publication Number:
  US 20140129151A1
• Time in Patent Office: Days
• US Class Current: 702/19
• CPC Class Codes: A61M 5/142 Pressure infusion, e.g. using pumps
• 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: G01N 33/49 Blood chemical methods for determining blood cell populations G01N33/5094; chemical analysis of blood groups or blood types G01N33/80
• 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 40/67 for remote operation
• CPC Class Codes: G16H 50/00 ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

Methods and apparatus, including computer program products, are provided for processing analyte data. In some example implementations, a method may include generating glucose sensor data indicative of a host'"'"'s glucose concentration using a glucose sensor; calculating a glycemic variability index (GVI) value based on the glucose sensor data; and providing output to a user responsive to the calculated glycemic variability index value. The GVI may be a ratio of a length of a line representative of the sensor data and an ideal length of the line. Related systems, methods, and articles of manufacture are also disclosed.

Claims

1. A computer-implemented method comprising:

generating glucose sensor data indicative of a host'"'"'s glucose concentration using a glucose sensor;

calculating a glycemic variability index value based on the glucose sensor data; and

providing output to a user responsive to the calculated glycemic variability index value.

2. The method of claim 1, wherein the glycemic variability index (GVI) is defined as equal to L/L_o, wherein L is a length of a line representative of the host'"'"'s glucose concentration over a period of time and L_o is an ideal line length for the given period of time.

3. The method of claim 1, further comprising calculating a patient glycemic status, wherein patient glycemic status (PGS) is defined as equal to GVI*MG*(1−

PTIR)+Penalty, wherein MG is a mean glucose value of the sensor data, PTIR is a percentage of time the sensor data is within a predefined range of glucose concentration values, and the Penalty is a non-linear hyperbolic function that asymptotes with a predetermined number of determined episodes of severe hypoglycemia within a predetermined amount of time.

4. The method of claim 3, wherein the predefined range of glucose concentration values is from about 80 mg/dL to about 180 mg/dL.

5. The method of claim 2, wherein the providing output is responsive to the GVI calculation and the PSG calculation.

6. The method of claim 1, wherein the providing output comprises generating a report to a user, wherein the report includes a calculated GVI numerical value.

7. The method of claim 1, wherein the providing output comprises triggering an alert to a user when the GVI exceeds a predetermined threshold, wherein the alert is one or more of an audible alert, visual alert and tactile alert.

8. The method of claim 1, wherein the calculating is automatically performed periodically on a defined window of time of sensor data.

9. The method of claim 1, wherein the calculating comprising calculating a plurality of GVI values based on the sensor data, wherein each of the GVI values is based on a different period of time of the sensor data.

10. The method of claim 1, wherein the method is performed by a processor executing code embodied in a non-transitory computer-readable medium.

11. A non-transitory computer-readable medium including code which when executed by at least one processor provides operations comprises:

providing a scoring map that converts glucose values to a clinical relevance score;

converting glucose values generated using a continuous glucose sensor from units of glucose concentration to clinical relevance scores using the scoring map;

applying a statistical algorithm to the clinical relevance scores to generate a processed clinical relevance score; and

outputting information based on the processed clinical relevance score to a user interface of an electronic device.

12. The non-transitory computer-readable medium of claim 11, wherein the scoring map is embodied as one or more mathematical equations.

13. The non-transitory computer-readable medium of claim 11, wherein the scoring map comprises an above target coordinate space and a below target coordinate space.

14. The non-transitory computer-readable medium of claim 11, wherein a scale of the clinical relevance score is linear and a scale of the glucose concentration is non-linear.

15. The non-transitory computer-readable medium of claim 11, wherein the statistical algorithm comprises one or more of a sum, mean, average and standard deviation of the clinical relevance scores.

16. The non-transitory computer-readable medium of claim 11, wherein the outputted information comprises one or more of a numerical clinical relevance score and a graph of the clinical relevance scores over time.

17. A system comprising:

at least one processor;

at least one memory including code which when executed by the at least one processor provides operations comprising

analyzing glucose data generated by a continuous glucose sensor over a time period,

identifying an event based on the analyzing, and

outputting information to a user via a user interface of the system, the information based on the identified event.

18. The system of claim 17, wherein the event is a missed meal event, and wherein the information includes a prompt for a user to enter meal information.

19. The system of claim 17, wherein the event is a missed insulin administration event, and wherein the identifying includes monitoring whether a rate of change of the host'"'"'s measured glucose levels exceeds a threshold for a predetermined period of time.

20. The system of claim 17, wherein the information comprises an indication of glucose control associated with the wear of an insulin infusion pump.

21. The system of claim 17, wherein the information comprises a message indicating a percentage of measured glucose values falling within a target range over a predetermined time period.