COMPUTER-IMPLEMENTED METHOD FOR PROVIDING A PERSONALIZED TOOL FOR ESTIMATING 1,5-ANHYDROGLUCITOL

• US 20110077930A1
• Filed: 09/29/2010
• Published: 03/31/2011
• 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:
  US12/894,031
• Publication Number:
  US 20110077930A1
• Time in Patent Office: Days
• US Class Current: 703/11
• 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
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

A computer-implemented method for providing a personalized tool for estimating 1,5-anhydroglucitol is provided. An electronically-stored history of empirically measured glucose levels is maintained for a patient over a set period of time in order of increasing age. A predictive model of estimated glycated hemoglobin is built on a computer workstation. A decay factor is designated particularized to the patient. The decay factor is applied to each of the measured glucose levels. The measured glucose levels is scaled by a scaling coefficient. The measured glucose levels are aggregated and scaled as decayed and scaled into an estimate of glycated hemoglobin for the time period. The glycated hemoglobin estimate is displayed to the patient on the computer workstation.

Claims

1. A computer-implemented method for providing a personalized tool for estimating depletion of 1,5-anhydroglucitol (1,5-Ag), comprising:

maintaining an electronically-stored history of blood glucose levels for a patient in order of increasing age;

building a predictive model of estimated 1,5-Ag depletion on a computer workstation, comprising;

designating a depletion rate coefficient for 1,5-Ag and a renal threshold of blood glucose particularized to the patient;

determining hyperglycemic differences between the renal threshold and each glucose level that is in excess of the renal threshold; and

applying the depletion rate coefficient to each of the hyperglycemic differences as an estimate of depleted 1,5-Ag; and

displaying the estimate of depleted 1,5-Ag to the patient.

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

building a predictive model of estimated 1,5-Ag repletion on a computer workstation, comprising;

designating a repletion rate coefficient for 1,5-Ag;

estimating an ingested amount of 1,5-Ag for the patient; and

applying the repletion rate coefficient to the ingested amount of 1,5-Ag as an estimate of repleted 1,5-Ag; and

displaying an aggregate of the estimate of the depleted 1,5-Ag and the estimate of repleted 1,5-Ag as temporally matched to the patient.

3. A method according to claim 2, further comprising:

evaluating the estimates of depleted 1,5-Ag and the estimates of repleted 1,5-Ag on a basis comprising one of daily, hourly, and by the minute.

4. A method according to claim 2, wherein the repletion rate coefficient c_d is selected, such that 0.3≦

c_d≦

25 μ

g/ml/day.

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

designating a plurality of the renal thresholds;

determining a separate estimate of depleted 1,5-Ag for each of the renal thresholds; and

displaying the separate estimates of depleted 1,5-Ag to the patient.

6. A method according to claim 1, wherein the renal threshold is selected from the group comprising 170, 180, 190, 200, and 210 mg/dL.

7. A computer-implemented method for providing a personalized tool for estimating 1,5-anhydroglucitol (1,5-Ag), comprising:

maintaining an electronically-stored history of blood glucose levels for a patient during a set time period in order of increasing age;

building a predictive model of estimated aggregate 1,5-Ag on a computer workstation, comprising;

designating a depletion rate coefficient for 1,5-Ag, a repletion rate coefficient for 1,5-Ag, and a renal threshold of blood glucose particularized to the patient;

determining hyperglycemic differences between the renal threshold and each glucose level that is in excess of the renal threshold;

applying the depletion rate coefficient to each of the hyperglycemic differences as an estimate of depleted 1,5-Ag;

estimating an ingested amount of 1,5-Ag for the patient that was consumed during the set time period;

applying the repletion rate coefficient to the ingested amount of 1,5-Ag as an estimate of repleted 1,5-Ag; and

matching the estimate of the depleted 1,5-Ag and the estimate of repleted 1,5-Ag based on their relative occurrence during the set time period; and

displaying an aggregate of the matched estimates of the depleted 1,5-Ag and repleted 1,5-Ag to the patient.

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

evaluating the estimates of depleted 1,5-Ag and the estimates of repleted 1,5-Ag on a basis comprising one of daily, hourly, and by the minute.

9. A method according to claim 7, wherein the repletion rate coefficient c_d is selected, such that 0.3≦

c_d≦

25 μ

g/ml/day.

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

evaluating the estimate d(x) of the depleted 1,5-Ag in accordance with;

d(x)=(BG−

RT)×

c_d

where RG represents the blood glucose level;

RT represents the renal threshold; and

c_d is the coefficient representing the rate of depletion.

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

evaluating the estimate r(x) of the repleted 1,5-Ag in accordance with;

r(x)=A×

c_r  

 

(4)

where A represents an amount of 1,5-Ag present in food consumed by the patient and c_d is the coefficient representing the rate of repletion.

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

designating a plurality of the renal thresholds;

determining a separate estimate of depleted 1,5-Ag for each of the renal thresholds;

matching each of the separate estimates of depleted 1,5-Ag and the estimates of repleted 1,5-Ag based on their relative occurrences in the set time period; and

displaying an aggregate of each of the matched separate estimates of the depleted 1,5-Ag and repleted 1,5-Ag to the patient.

13. A method according to claim 7, wherein depletion rate coefficient is between 0.003472 and 0.00694 mg/minute.

14. A method according to claim 7, wherein the blood glucose levels are at least one of empirically measured and estimated.

15. A method according to claim 7, wherein the renal threshold is selected from the group comprising 170, 180, 190, 200, and 210 mg/dL.

16. A computer-implemented method for estimating glycemic affect through historical blood glucose data, comprising:

maintaining an electronically-stored history of empirically measured glucose levels for a patient over a set period of time in order of increasing age;

selecting one of the blood glucose levels from the history and determining a glycemic indicator based on the selected blood glucose level;

selecting successive blood glucose levels from the history occurring at progressively recent times in the set period and revising the glycemic indicator based on the selected progressively recent blood glucose level; and

displaying the glycemic indicator to the patient.

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

building a predictive model of estimated glycated hemoglobin as the glycemic indicator, comprising;

designating a decay factor particularized to the patient;

applying the decay factor to each of the measured glucose levels;

scaling the measured glucose levels by a scaling coefficient; and

aggregating and scaling the measured glucose levels as decayed and scaled into an estimate of glycated hemoglobin for the time period; and

displaying the glycated hemoglobin estimate to the patient.

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

building a predictive model of estimated 1,5-Ag depletion as the glycemic indicator, comprising;

designating a depletion rate coefficient for 1,5-Ag and a renal threshold of blood glucose particularized to the patient;

determining hyperglycemic differences between the renal threshold and each glucose level that is in excess of the renal threshold; and

applying the depletion rate coefficient to each of the hyperglycemic differences as an estimate of depleted 1,5-Ag; and

displaying the estimate of depleted 1,5-Ag to the patient.

19. A method according to claim 18, further comprising:

building a predictive model of estimated 1,5-Ag repletion as the glycemic indicator, comprising;

designating a repletion rate coefficient for 1,5-Ag;

estimating an ingested amount of 1,5-Ag for the patient; and

applying the repletion rate coefficient to the ingested amount of 1,5-Ag as an estimate of repleted 1,5-Ag; and

displaying an aggregate of the estimate of the depleted 1,5-Ag and the estimate of repleted 1,5-Ag as temporally matched to the patient.

20. A method according to claim 16, wherein the glycemic indicator is selected from the group comprising HbAlc, fructosamine, and 1,5-Ag assay.