Insulin management

• US 10,535,426 B2
• Filed: 02/12/2019
• Issued: 01/14/2020
• Est. Priority Date: 01/31/2014
• Status: Active Grant

• Current Assignee: Aseko, Inc.
• Original Assignee: Aseko, Inc.
• Inventors: Booth, Robert C., Hebblewhite, Harry
• Primary Examiner(s): Borin, Michael L
• Application Number:
  US16/273,926
• Publication Number:
  US 20190180858A1
• Time in Patent Office: 336 Days
• Field of Search: None
• 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 5/4848 Monitoring or testing the effects of treatment, e.g. of medication
• CPC Class Codes: A61M 2005/14208 with a programmable infusion control system, characterised by the infusion program
• CPC Class Codes: A61M 2005/14296 Pharmacokinetic models
• CPC Class Codes: A61M 2005/1726 the body parameters being measured at, or proximate to, the infusion site
• CPC Class Codes: A61M 2205/18 with alarm
• CPC Class Codes: A61M 2205/3327 Measuring
• CPC Class Codes: A61M 2205/35 Communication
• CPC Class Codes: A61M 2205/3553 remote, e.g. between patient's home and doctor's office
• CPC Class Codes: A61M 2205/3584 using modem, internet or bluetooth
• CPC Class Codes: A61M 2205/3592 using telemetric means, e.g. radio or optical transmission
• CPC Class Codes: A61M 2205/50 with microprocessors or computers
• CPC Class Codes: A61M 2205/502 User interfaces, e.g. screens or keyboards
• CPC Class Codes: A61M 2205/507 Head Mounted Displays [HMD]
• CPC Class Codes: A61M 2205/52 with memories providing a history of measured variating parameters of apparatus or patient
• CPC Class Codes: A61M 2205/581 by audible feedback
• CPC Class Codes: A61M 2230/201 Glucose concentration
• CPC Class Codes: A61M 5/14 Infusion devices, e.g. infusing by gravity; Blood infusion; Accessories therefor
• 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: A61P 3/10 : for hyperglycaemia, e.g. antidiabetics
• CPC Class Codes: G16H 10/40 : for data related to laboratory analysis, e.g. patient specimen analysis
• CPC Class Codes: G16H 20/17 : delivered via infusion or injection
• CPC Class Codes: G16H 20/60 : relating to nutrition control, e.g. diets
• CPC Class Codes: G16H 40/67 : for remote operation
• CPC Class Codes: G16H 80/00 : ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

Abstract

A method of administering insulin includes receiving blood glucose measurements of a patient at a data processing device from a glucometer. The blood glucose measurements are separated by a time interval. The method also includes receiving patient information at the data processing device and selecting a subcutaneous insulin treatment from a collection of subcutaneous insulin treatments. The selection is based on the blood glucose measurements and the patient information. The selection includes one or more of a subcutaneous standard program, a subcutaneous program without meal boluses, a meal-by-meal subcutaneous program without carbohydrate counting, a meal-by-meal subcutaneous program with carbohydrate counting, and a subcutaneous program for non-diabetic patients. The method also includes executing, using the data processing device, the selected subcutaneous insulin treatment.

Claims

1. A method comprising:

receiving, at data processing hardware, a glucose measurement of a patient;

determining, by the data processing hardware, a glucose type of the received glucose measurement;

when the determined glucose type comprises one of a pre-lunch glucose measurement or a pre-dinner glucose measurement;

obtaining, by the data processing hardware, a previous Carbohydrate-to-Insulin Ratio (CIR) for an immediately previous meal consumed by the patient, the immediately previous meal consumed by the patient comprising one of breakfast when the determined glucose type comprises the pre-lunch glucose measurement or lunch when the determined glucose type comprises the pre-dinner glucose type;

adjusting, by the data processing hardware, the previous CIR for the immediately previous meal consumed by the patient based on the received glucose measurement; and

determining, by the data processing hardware, a recommended meal bolus for the determined glucose type based on the adjusted previous CIR, the recommended meal bolus corresponding to an insulin dose of rapid-acting insulin to be administered to the patient at the time of day associated with the determined glucose type to bring and maintain the patient'"'"'s glucose level into a target range; and

transmitting, from the data processing hardware, to a patient device remotely located from the data processing hardware and in communication with the data processing hardware via a network, the recommended meal bolus at the time of day associated with the determined glucose type, the recommended meal bolus when received by the patient device causing the patient device to display a number of units of insulin for the patient to administer using the recommended meal bolus.

2. The method of claim 1, wherein adjusting the previous CIR for the immediately previous meal consumed by the patient comprises:

determining an adjustment factor based on the received glucose measurement; and

adjusting the previous CIR for the immediately previous meal consumed by the patient by dividing the previous CIR by the adjustment factor.

3. The method of claim 2, wherein determining the adjustment factor comprises:

determining whether the received glucose measurement is within one of a plurality of target ranges of values; and

when the received glucose measurement is within one of the plurality of target ranges of values, setting the adjustment factor to a target adjustment factor associated with the corresponding target range of values that includes the received glucose measurement.

4. The method of claim 1, further comprising determining, by the data processing hardware, a pre-meal correction bolus by calculating:

CB=(BG−

BG_Target)/CF,

wherein CB is the pre-meal correction bolus, BG is the received glucose measurement, BG_Target is a target glucose value of a patient, and CF is a correction factor.

5. The method of claim 1, wherein the glucose type is associated with a time of measuring the glucose measurement, the glucose type including one of a midsleep glucose measurement, a pre-breakfast glucose measurement, the pre-lunch glucose measurement, the pre-dinner glucose measurement, and a bedtime glucose measurement.

6. The method of claim 5, wherein the midsleep glucose measurement, the pre-breakfast glucose measurement, the pre-lunch glucose measurement, the pre-dinner glucose measurement, and the bedtime glucose measurement are scheduled in a daily repetitive rotational order.

7. The method of claim 1, wherein determining the recommended meal bolus comprises:

receiving a number of carbohydrates to be consumed by the patient for a meal associated with the determined glucose type; and

dividing the received number of carbohydrates by the adjusted previous CIR.

8. The method of claim 1, further comprising, when the determined glucose type comprises a pre-breakfast glucose measurement:

obtaining, by the data processing hardware, a previous CIR for dinner;

obtaining, by the data processing hardware, a previous bedtime glucose measurement; and

determining, by the data processing hardware, a recommended CIR for breakfast based on the previous CIR for dinner and the previous bedtime glucose measurement.

9. The method of claim 8, wherein determining the recommended CIR for breakfast comprises:

determining a bedtime adjustment factor based on the previous bedtime glucose measurement; and

determining a recommended CIR for breakfast by dividing the previous CIR for dinner by the bedtime adjustment factor.

10. The method of claim 8, further comprising:

receiving, at the data processing hardware, a number of carbohydrates to be consumed by the patient for breakfast; and

determining, by the data processing hardware, a recommended breakfast bolus by dividing the received number of carbohydrates by the recommended CIR for breakfast.

11. The method of claim 1, further comprising, when the determined glucose type comprises a pre-breakfast glucose measurement:

selecting, by the data processing hardware, a governing glucose measurement as a lesser one of a previous midsleep glucose measurement or the pre-breakfast glucose measurement;

determining, by the data processing hardware, a basal adjustment factor for adjusting a current day'"'"'s recommended basal dose based on the selected governing glucose measurement;

obtaining, by the data processing hardware, a previous day'"'"'s bedtime recommended basal dose; and

determining, by the data processing hardware, the current day'"'"'s recommended basal dose by multiplying the adjustment factor times the previous day'"'"'s bedtime recommended basal dose, the current day'"'"'s recommended basal dose corresponding to an insulin dose of long-acting insulin to be administered to the patient at a configurable frequency of one, two, or three times per day.

12. A system comprising:

data processing hardware; and

memory hardware in communication with the data processing hardware and storing instructions that when executed on the data processing hardware cause the data processing hardware to perform operations comprising;

receiving a glucose measurement of a patient;

determining a glucose type of the received glucose measurement;

when the determined glucose type comprises one of a pre-lunch glucose measurement or a pre-dinner glucose measurement;

obtaining a previous Carbohydrate-to-Insulin Ratio (CIR) for an immediately previous meal consumed by the patient, the immediately previous meal consumed by the patient comprising one of breakfast when the determined glucose type comprises the pre-lunch glucose measurement or lunch when the determined glucose type comprises the pre-dinner glucose type;

adjusting the previous CIR for the immediately previous meal consumed by the patient based on the received glucose measurement; and

determining a recommended meal bolus for the determined glucose type based on the adjusted previous CIR, the recommended meal bolus corresponding to an insulin dose of rapid-acting insulin to be administered to the patient at the time of day associated with the determined glucose type to bring and maintain the patient'"'"'s glucose level into a target range; and

transmitting the recommended meal bolus to a patient device in communication with the data processing hardware at the time of day associated with the determined glucose type, the recommended meal bolus when received by the patient device causing the patient device to display a number of units of insulin for the patient to administer using the recommended meal bolus.

13. The system of claim 12, wherein adjusting the previous CIR for the immediately previous meal consumed by the patient comprises:

determining an adjustment factor based on the received glucose measurement; and

adjusting the previous CIR for the immediately previous meal consumed by the patient by dividing the previous CIR by the adjustment factor.

14. The system of claim 13, wherein determining the adjustment factor comprises:

determining whether the received glucose measurement is within one of a plurality of target ranges of values; and

when the received glucose measurement is within one of the plurality of target ranges of values, setting the adjustment factor to a target adjustment factor associated with the corresponding target range of values that includes the received glucose measurement.

15. The system of claim 12, wherein the operations further comprise determining a pre-meal correction bolus by calculating:

CB=(BG−

BG_Target)/CF,

wherein CB is the pre-meal correction bolus, BG is the received glucose measurement, BG_Target is a target glucose value of a patient, and CF is a correction factor.

16. The system of claim 12, wherein the glucose type is associated with a time of measuring the glucose measurement, the glucose type including one of a midsleep glucose measurement, a pre-breakfast glucose measurement, the pre-lunch glucose measurement, the pre-dinner glucose measurement, and a bedtime glucose measurement.

17. The system of claim 16, wherein the midsleep glucose measurement, the pre-breakfast glucose measurement, the pre-lunch glucose measurement, the pre-dinner glucose measurement, and the bedtime glucose measurement are scheduled in a daily repetitive rotational order.

18. The system of claim 12, wherein determining the recommended meal bolus comprises:

receiving a number of carbohydrates to be consumed by the patient for a meal associated with the determined glucose type; and

dividing the received number of carbohydrates by the adjusted previous CIR.

19. The system of claim 12, wherein the operations further comprise, when the determined glucose type comprises a pre-breakfast glucose measurement:

obtaining a previous CIR for dinner;

obtaining a previous bedtime glucose measurement; and

determining a recommended CIR for breakfast based on the previous CIR for dinner and the previous bedtime glucose measurement.

20. The system of claim 19, wherein determining the recommended CIR for breakfast comprises:

determining a bedtime adjustment factor based on the previous bedtime glucose measurement; and

determining a recommended CIR for breakfast by dividing the previous CIR for dinner by the bedtime adjustment factor.

21. The system of claim 19, wherein the operations further comprise:

receiving a number of carbohydrates to be consumed by the patient for breakfast; and

determining a recommended breakfast bolus by dividing the received number of carbohydrates by the recommended CIR for breakfast.

22. The system of claim 12, wherein the operations further comprise, when the determined glucose type comprises a pre-breakfast glucose measurement:

selecting a governing glucose measurement as a lesser one of a previous midsleep glucose measurement or the pre-breakfast glucose measurement;

determining a basal adjustment factor for adjusting a current day'"'"'s recommended basal dose based on the selected governing glucose measurement;

obtaining a previous day'"'"'s bedtime recommended basal dose; and

determining the current day'"'"'s recommended basal dose by multiplying the adjustment factor times the previous day'"'"'s bedtime recommended basal dose, the current day'"'"'s recommended basal dose corresponding to an insulin dose of long-acting insulin to be administered to the patient at a configurable frequency of one, two, or three times per day.