System And Method For Computer-Implemented Method For Actively Managing Increased Insulin Resistance In Type 2 Diabetes Mellitus

• US 20100198020A1
• Filed: 04/09/2010
• Published: 08/05/2010
• Est. Priority Date: 02/12/2008
• Status: Abandoned Application

• Current Assignee: Clifton A. Alferness, Gust H. Bardy
• Original Assignee: Clifton A. Alferness, Gust H. Bardy
• Inventors: Bardy, Gust H., Alferness, Clifton A.
• Application Number:
  US12/757,920
• Publication Number:
  US 20100198020A1
• Time in Patent Office: Days
• US Class Current: 600/300
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 20/10 relating to drugs or medications, e.g. for ensuring correct administration to patients
• CPC Class Codes: G16H 20/60 relating to nutrition control, e.g. diets
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders

Abstract

A computer-implemented method for actively managing increased insulin resistance in Type 2 diabetes mellitus is provided. A computer-generated model of glycemic effect for a Type 2 diabetic patient for digestive response is established on a computer workstation. A rise in postprandial blood glucose from a meal planned for ingestion by the patients estimated as displayed through the digestive response model. A coefficient applied to the digestive response model for an initial degree of insulin resistance experienced by the patient is adjusted. Following a physiologic increase in insulin resistance, a rise in postprandial blood glucose from a subsequent meal planned for ingestion by the patient is estimated as displayed through the digestive response model. The coefficient applied to the digestive response model for a subsequent degree of insulin resistance experienced by the patient is adjusted.

Claims

1. A computer-implemented method for actively managing increased insulin resistance in Type 2 diabetes mellitus, comprising:

establishing a computer-generated model of glycemic effect for a Type 2 diabetic patient for digestive response on a computer workstation;

estimating a rise in postprandial blood glucose from a meal planned for ingestion by the patient as displayed through the digestive response model;

adjusting a coefficient applied to the digestive response model for an initial degree of insulin resistance experienced by the patient;

following a physiologic increase in insulin resistance, estimating a rise in postprandial blood glucose from a subsequent meal planned for ingestion by the patient as displayed through the digestive response model; and

adjusting the coefficient applied to the digestive response model for a subsequent degree of insulin resistance experienced by the patient.

2. A method according to claim 1, wherein the coefficient represents at least one of insulin sensitivity, carbohydrate sensitivity, and cumulative digestive response.

3. A method according to claim 1, further comprising:

comparing the values of the coefficient corresponding to the initial and the subsequent degrees of insulin resistance; and

correlating the size of the difference in values to the physiologic insulin resistance of the patient.

4. A method according to claim 1, further comprising:

modifying an insulin dosing regimen in response to a correlation of the physiologic insulin resistance of the patient to an increase in insulin resistance, comprising one or more of changing an amount of insulin bolus, administering anti-diabetes medication, and administering oral medication.

5. A computer-implemented method for actively managing diminished insulin secretion in Type 2 diabetes mellitus, comprising:

establishing a computer-generated model of glycemic effect for a Type 2 diabetic patient for digestive response on a computer workstation;

estimating a rise in postprandial blood glucose from a meal planned for ingestion by the patient as displayed through the digestive response model;

adjusting a coefficient applied to the digestive response model for an initial degree of insulin resistance experienced by the patient;

following a physiologic decrease in insulin secretion, estimating a rise in postprandial blood glucose from a subsequent meal planned for ingestion by the patient as displayed through the digestive response model; and

adjusting the coefficient applied to the digestive response model for a subsequent degree of insulin resistance experienced by the patient.

6. A method according to claim 5, wherein the coefficient represents at least one of insulin sensitivity, carbohydrate sensitivity, and cumulative digestive response.

7. A method according to claim 5, further comprising:

comparing the values of the coefficient corresponding to the initial and the subsequent degrees of insulin secretion; and

correlating the size of the difference in values to the physiologic insulin secretion of the patient.

8. A method according to claim 5, further comprising:

modifying an insulin dosing regimen in response to a correlation of the physiologic insulin resistance of the patient to a diminution in insulin secretion, comprising one or more of changing an amount of insulin bolus, administering anti-diabetes medication, and administering oral medication.

9. A computer-implemented method for actively managing increased insulin resistance in Type 2 diabetes mellitus, comprising:

establishing computer-generated models of glycemic effect for a Type 2 diabetic patient for digestive response and for physical activity on a computer workstation;

estimating a rise in postprandial blood glucose from a meal planned for ingestion by the patient as displayed through the digestive response model;

adjusting a coefficient applied to the digestive response model for an initial degree of insulin resistance experienced by the patient and by factoring in the physical activity model;

following a physiologic increase in insulin resistance, estimating a rise in postprandial blood glucose from a subsequent meal planned for ingestion by the patient as displayed through the digestive response model; and

adjusting the coefficient applied to the digestive response model for a subsequent degree of insulin resistance experienced by the patient and by factoring in the physical activity model.

10. A method according to claim 9, wherein the coefficient represents at least one of insulin sensitivity, carbohydrate sensitivity, and cumulative digestive response.

11. A method according to claim 9, further comprising:

comparing the values of the coefficient corresponding to the initial and the subsequent degrees of insulin resistance; and

correlating the size of the difference in values to the physiologic insulin resistance of the patient.

12. A method according to claim 9, further comprising:

modifying an insulin dosing regimen in response to a correlation of the physiologic insulin resistance of the patient to an increase in insulin resistance, comprising one or more of changing an amount of insulin bolus, administering anti-diabetes medication, and administering oral medication.

13. A computer-implemented method for actively managing diminished insulin secretion in Type 2 diabetes mellitus, comprising:

establishing computer-generated models of glycemic effect for a Type 2 diabetic patient for digestive response and for physical activity on a computer workstation;

estimating a rise in postprandial blood glucose from a meal planned for ingestion by the patient as displayed through the digestive response model;

adjusting a coefficient applied to the digestive response model for an initial degree of insulin resistance experienced by the patient and by factoring in the physical activity model;

following a physiologic decrease in insulin secretion, estimating a rise in postprandial blood glucose from a subsequent meal planned for ingestion by the patient as displayed through the digestive response model; and

adjusting the coefficient applied to the digestive response model for a subsequent degree of insulin resistance experienced by the patient and by factoring in the physical activity model.

14. A method according to claim 13, wherein the coefficient represents at least one of insulin sensitivity, carbohydrate sensitivity, and cumulative digestive response.

15. A method according to claim 13, further comprising:

comparing the values of the coefficient corresponding to the initial and the subsequent degrees of insulin secretion; and

correlating the size of the difference in values to the physiologic insulin secretion of the patient.

16. A method according to claim 13, further comprising:

modifying an insulin dosing regimen in response to a correlation of the physiologic insulin resistance of the patient to a diminution in insulin secretion, comprising one or more of changing an amount of insulin bolus, administering anti-diabetes medication, and administering oral medication.

17. A computer-implemented method for actively managing increased insulin resistance in Type 2 diabetes Mellitus, comprising:

establishing computer-generated models of glycemic effect for a Type 2 diabetic patient for digestive response and for a time course of anti-diabetes medication on a computer workstation;

estimating a rise in postprandial blood glucose from a meal planned for ingestion by the patient as displayed through the digestive response model;

adjusting a coefficient applied to the digestive response model for an initial degree of insulin resistance experienced by the patient and by factoring in the physical activity model;

determining an amount of the anti-diabetes medication necessary to counter the degree of insulin resistance by applying the anti-diabetes medication model against the adjusted digestive response model;

following a physiologic increase in insulin resistance, estimating a rise in postprandial blood glucose from a subsequent meal planned for ingestion by the patient as displayed through the digestive response model;

adjusting the coefficient applied to the digestive response model for a subsequent degree of insulin resistance experienced by the patient and by factoring in the physical activity model; and

determining a revised amount of the anti-diabetes medication necessary to counter the subsequent degree of insulin resistance by applying the anti-diabetes medication model against the adjusted digestive response model.

18. A method according to claim 17, wherein the coefficient represents at least one of insulin sensitivity, carbohydrate sensitivity, and cumulative digestive response.

19. A method according to claim 17, further comprising:

comparing the values of the coefficient corresponding to the initial and the subsequent degrees of insulin resistance; and

correlating the size of the difference in values to the physiologic insulin resistance of the patient.

20. A computer-implemented method for actively managing diminished insulin secretion in Type 2 diabetes mellitus, comprising:

establishing computer-generated models of glycemic effect for a Type 2 diabetic patient for digestive response and for a time course of anti-diabetes medication on a computer workstation;

estimating a rise in postprandial blood glucose from a meal planned for ingestion by the patient as displayed through the digestive response model;

adjusting a coefficient applied to the digestive response model for an initial degree of insulin resistance experienced by the patient and by factoring in the physical activity model;

determining an amount of the anti-diabetes medication necessary to counter the degree of insulin resistance by applying the anti-diabetes medication model against the adjusted digestive response model;

following a physiologic increase in insulin secretion, estimating a rise in postprandial blood glucose from a subsequent meal planned for ingestion by the patient as displayed through the digestive response model;

adjusting the coefficient applied to the digestive response model for a subsequent degree of insulin resistance experienced by the patient and by factoring in the physical activity model; and

determining a revised amount of the anti-diabetes medication necessary to counter the subsequent degree of insulin resistance by applying the anti-diabetes medication model against the adjusted digestive response model.

21. A method according to claim 20, wherein the coefficient represents at least one of insulin sensitivity, carbohydrate sensitivity, and cumulative digestive response.

22. A method according to claim 20, further comprising:

comparing the values of the coefficient corresponding to the initial and the subsequent degrees of insulin resistance; and

correlating the size of the difference in values to the physiologic insulin resistance of the patient.