Systems and methods for managing glycemic variability

Patent metadata

Field	Value
Publication number	US-10369283-B2
Application number	US-201314065847-A
Country	US
Kind code	B2
Filing date	Oct 29, 2013
Priority date	Nov 7, 2012
Publication date	Aug 6, 2019
Grant date	Aug 6, 2019

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.

First claim

What is claimed is:

1. A computer-implemented method for improving glucose management for a patient by reducing glycemic variability, the method comprising:
receiving input indicative of one or more insulin infusion sites on the patient including one or more of a location on a body for the one or more insulin infusion sites and a duration of use of an insulin delivery device;
generating, using one or more continuous glucose sensors, continuous glucose sensor data indicative of a glucose concentration of the patient;
based on the continuous glucose sensor data, determining one or more glucose control metrics for each of the one or more insulin infusion sites;
comparing the determined one or more glucose control metrics to a predetermined threshold;
identifying, based on the comparing, a problem associated with at least one of the location or the duration of use of the insulin delivery device;
determining a suggestion for modifying a glucose management routine based on the identified problem;
outputting information to a user based on the determined one or more glucose control metrics for each of the one or more insulin infusion sites, the outputted information including the identified problem and the determined suggestion; and
controlling insulin delivery by the insulin delivery device to reduce glycemic variability using at least one of the identified problem or the determined suggestion for modifying the glucose management routine.

2. The method of claim 1 , further comprising prompting, using a user interface, for information indicative of the one or more of the location and the duration of use.

3. The method of claim 1 , wherein the one or more insulin infusion sites comprises a plurality of insulin infusion sites.

4. The method of claim 1 , further comprising determining a timeframe associated with use of at least one of the one or more insulin infusion sites based on the duration of use, wherein determining the one or more glucose control metrics is based on glucose sensor data indicative of the patient's glucose concentration within the timeframe.

5. The method of claim 1 , wherein outputting information comprises providing via a user interface an indication of glucose control associated with each of a plurality of different insulin infusion sites.

6. The method of claim 1 , wherein the one or more glucose control metrics is indicative of the patient's glucose control relative to a glucose target value or range over time.

7. A system for improving glucose management for a patient by reducing glycemic variability, the system comprising:
one or more continuous glucose sensors configured to generate continuous glucose sensor data indicative of a glucose concentration of the patient;
at least one processor; and
at least one memory including code which when executed by the at least one processor provides operations comprising:
receiving input indicative of one or more insulin infusion sites on the patient and including one or more of a location on a body for the one or more insulin infusion sites and a duration of use of an insulin delivery device,
based on the continuous glucose sensor data, determining one or more glucose control metrics for each of the one or more insulin infusion sites,
comparing the determined one or more glucose control metrics to a predetermined threshold,
identifying, based on the comparing, a problem associated with at least one of the location or the duration of use of the insulin delivery device,
determining a suggestion for modifying a glucose management routine based on the identified problem,
outputting information to a user based on the determined one or more glucose control metrics for each of the one or more insulin infusion sites, the outputted information including the identified problem and the determined suggestion, and
controlling insulin delivery by the insulin delivery device to reduce glycemic variability using at least one of the identified problem or the determined suggestion for modifying the patient's glucose management routine data.

8. The system of claim 7 , wherein the operations further comprise prompting, using a user interface, for information indicative of the one or more of the location and the duration of use.

9. The system of claim 7 , wherein the one or more insulin infusion sites comprises a plurality of insulin infusion sites and where one or more glucose control metrics is determined for each of the plurality of insulin infusion sites.

10. The system of claim 7 , wherein the operations further comprise determining a timeframe associated with use of at least one of the one or more insulin infusion sites, wherein determining the one or more glucose control metrics is based on glucose sensor data within the timeframe.

11. The system of claim 7 , wherein outputting information comprises providing via a user interface of the system an indication of glucose control associated with each of a plurality of different insulininfusion sites.

12. The system of claim 7 , wherein the one or more glucose control metrics is indicative of the patient's glucose concentration over time relative to a glucose target value or range.

13. The method of claim 1 , wherein identifying the problem includes automatically detecting missed insulin administration by analyzing the continuous glucose sensor data.

14. The method of claim 1 , further comprising receiving a user-selection of meals from a list of meals available for selection and associating the continuous glucose sensor data to the user selection of meals, wherein: identifying the problem includes detecting one or meals associated with poor glucose control by analyzing the continuous glucose sensor data for glucose control patterns for the user-selection of meals.

15. The method of claim 14 , wherein determining the suggestion includes suggesting different timing or dosing for insulin infusion for the one or more meals associated with poor glucose control.

16. The method of claim 1 , wherein identifying the problem includes analyzing the continuous glucose sensor data to detect glucose control patterns for the location or the duration, and determining the suggestion includes determining a suggestion for a location change for insulin infusion or a duration change for using the insulin delivery device.

17. The method of claim 1 , wherein determining one or more glucose control metrics includes determining a glycemic variability index representing glucose variability over time.

18. The method of claim 17 , wherein determining the glycemic variability index includes determining a length of a line representing glucose concentration over time.

19. A method for improving glucose management for a patient by reducing glycemic variability, the method comprising:
receiving input indicative of one or more insulin infusion sites on the patient, wherein the received input includes input indicative of a location on a body for the one or more insulin infusion sites, a duration of use of an insulin delivery device, or both the location on the body and the duration of use of the insulin delivery device;
generating, using one or more continuous glucose sensors, continuous glucose sensor data indicative of a glucose concentration of the patient;
for each of the one or more insulin infusion sites, determining a glucose variability index based on the continuous glucose sensor data;
comparing the glucose variability index to a predetermined threshold;
identifying, based on the comparing, a problem associated with at least one of the location or the dura

Assignees

• Dexcom Inc

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

Classifications

• G16H20/17

  delivered via infusion or injection · CPC title

• G16H40/63

  for local operation · CPC title

• G16H50/30

  for calculating health indices; for individual health risk assessment · CPC title

• A61M5/142

  Pressure infusion, e.g. using pumps · CPC title

• G16H50/00

  ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics · CPC title