IP Library Granted Patent US 7,976,492
Granted Patent B2
US 7,976,492 · App. 12/536,852 · Granted Jul 12, 2011

Integrated delivery device for continuous glucose sensor

Assignee: DexCom, Inc.
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Quick Facts
Patent No.
US 7,976,492
App. No.
12/536,852
Granted
Jul 12, 2011
Kind
B2
Abstract

Systems and methods for integrating a continuous glucose sensor, including a receiver, a medicament delivery device, and optionally a single point glucose monitor are provided. Manual integrations provide for a physical association between the devices wherein a user (for example, patient or doctor) manually selects the amount, type, and/or time of delivery. Semi-automated integration of the devices includes integrations wherein an operable connection between the integrated components aids the user (for example, patient or doctor) in selecting, inputting, calculating, or validating the amount, type, or time of medicament delivery of glucose values, for example, by transmitting data to another component and thereby reducing the amount of user input required. Automated integration between the devices includes integrations wherein an operable connection between the integrated components provides for full control of the system without required user interaction.

Claims (36)

1. A method for treating diabetes using an integrated glucose sensor and a medicament delivery device, the method comprising:

receiving sensor data from a continuous glucose sensor, the sensor data comprising one or more sensor data points;

calculating a medicament therapy recommendation based at least in part on the sensor data;

receiving data from a single point glucose monitor;

validating the calculated medicament therapy recommendation based at least in part on data obtained from the single point glucose monitor and sensor data from the continuous glucose sensor; and

outputting information reflective of the calculated medicament therapy recommendation responsive to a validated calculated medicament therapy recommendation.

2. The method according to claim 1 , further comprising detecting an impending clinical risk.

3. The method according to claim 1 , wherein outputting information comprises outputting the calculated medicament therapy recommendation to a user interface.

4. The method according to claim 1 , wherein outputting information comprises transmitting the calculated medicament therapy recommendation to a medicament delivery device.

5. The method according to claim 1 , wherein outputting information comprises delivering the calculated medicament therapy recommendation via a medicament delivery device.

6. A method for treating diabetes using an integrated glucose sensor and a medicament delivery device, comprising:

receiving medicament delivery data associated with medicament delivery from a medicament delivery device;

receiving sensor data from a glucose sensor for a first time period, the sensor data comprising a plurality of sensor data points;

determining a pattern associated with the sensor data for the first time period;

receiving subsequent sensor data from the glucose sensor for a second time period, the subsequent sensor data comprising a plurality of subsequent sensor data points;

calculating a therapy recommendation based at least in part on the pattern and the subsequent sensor data;

requesting patient input;

validating the therapy recommendation based on the patient input; and

outputting the therapy recommendation.

7. The method according to claim 6 , wherein determining a pattern comprises using a pattern recognition algorithm.

8. The method according to claim 6 , wherein determining a pattern is repeatedly performed.

9. The method according to claim 8 , wherein determining a pattern is iteratively determined for a time period exceeding one week.

10. A method for estimating glucose levels using data from an integrated glucose sensor and a medicament delivery device, the method comprising:

receiving sensor data associated with a glucose sensor, the sensor data comprising one or more sensor data points;

receiving medicament delivery data associated with a medicament delivery device;

evaluating the medicament delivery data with the sensor data corresponding to delivery and/or release of the medicament to determine one or more individual metabolic patterns associated with medicament delivery and/or release;

predicting a glucose value for a future time period based at least in part on the individual metabolic patterns and the sensor data; and

activating an alarm when the predicted glucose value is greater than a threshold value indicative of a hyperglycemic condition or less than a threshold value indicative of a hypoglycemic condition.

11. The method according to claim 10 , wherein the individual metabolic patterns are calculated using a pattern recognition algorithm.

12. The method according to claim 10 , wherein the individual metabolic patterns are repeatedly determined when additional medicament delivery data are received.

13. The method according to claim 12 , wherein the individual metabolic patterns are iteratively determined for a time period exceeding one week.

14. A method for treating diabetes using an integrated glucose sensor and a medicament delivery device, the method comprising:

receiving sensor data from a continuous glucose sensor, the sensor data comprising one or more sensor data points;

calculating a medicament therapy recommendation based at least in part on the sensor data;

validating the calculated medicament therapy recommendation based at least in part on a user input received from a user interface; and

outputting information reflective of the calculated medicament therapy recommendation responsive to a validated calculated medicament therapy recommendation.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 6, 2009
From: BRAUKER, JAMES H.; TAPSAK, MARK A; SAINT, SEAN T.; KAMATH, APURV U.; NEALE, PAUL V.; SIMPSON, PETER C.; MENSINGER, MICHAEL ROBERT; MARKOVIC, DUBRAVKA
To: DEXCOM, INC.
Reel/Frame 023067/0713 →
Continuity (2)
Division 10789359 · Feb 26, 2004
Related Publication 20090299276A1 · Dec 3, 2009