Method, system, and computer program product for the evaluation of glycemic control in diabetes from self-monitoring data
First Claim
1. A computerized method for evaluating the HbA1c of a patient based on BG data collected over a predetermined duration, said method comprising:
- computing weighted deviation toward high blood glucose (WR) and estimated rate of change of blood glucose (Dr) based on said collected BG data; and
estimating HbA1c using a predetermined mathematical formula based on said computed WR and Dr.
4 Assignments
0 Petitions
Accused Products
Abstract
A method, system, and computer program product related to the diagnosis of diabetes, and is directed to predicting the long term risk of hyperglycemia, and the long-term and short-term risks of severe hypoglycemia in diabetics, based on blood glucose readings collected by a self-monitoring blood glucose device. The method, system, and computer program product pertain directly to the enhancement of existing home blood glucose monitoring devices, by introducing an intelligent data interpretation component capable of predicting both HbA1c and periods of increased risk of hypoglycemia, and to the enhancement of emerging continuous monitoring devices by the same features. With these predictions the diabetic can take steps to prevent the adverse consequences associated with hyperglycemia and hypoglycemia.
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Citations
58 Claims
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1. A computerized method for evaluating the HbA1c of a patient based on BG data collected over a predetermined duration, said method comprising:
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computing weighted deviation toward high blood glucose (WR) and estimated rate of change of blood glucose (Dr) based on said collected BG data; and
estimating HbA1c using a predetermined mathematical formula based on said computed WR and Dr. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A computerized method for evaluating the HbA1c of a patient based on BG data collected over a predetermined duration, said method comprising:
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computing weighted deviation toward high blood glucose (WR) and estimated rate of change of blood glucose (Dr) based on said collected BG data;
estimating HbA1c using a predetermined mathematical formula based on said computed WR and Dr; and
providing a predetermined confidence interval for classification of said estimated value of HbA1c. - View Dependent Claims (10)
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11. A system for evaluating HbA1c of a patient based on BG data collected over a predetermined duration, said system comprising:
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a database component operative to maintain a database identifying said BG data;
a processor programmed to;
compute weighted deviation toward high blood glucose (WR) and estimated rate of change of blood glucose (Dr) based on said collected BG data; and
estimate HbA1c using a predetermined mathematical formula based on said computed WR and Dr. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18)
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19. A glycemic control system for evaluating HbA1c of a patient, said system comprising:
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a BG acquisition mechanism, said acquisition mechanism configured to acquire BG data from the patient, a database component operative to maintain a database identifying said BG data;
a processor programmed to;
compute weighted deviation toward high blood glucose (WR) and estimated rate of change of blood glucose (Dr) based on said collected BG data; and
estimate HbA1c using a predetermined mathematical formula based on said computed WR and Dr.
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20. A computer program product comprising a computer useable medium having computer program logic for enabling at least one processor in a computer system to evaluate HbA1c of a patient based on BG data, said computer program logic comprising:
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computing weighted deviation toward high blood glucose (WR) and estimated rate of change of blood glucose (Dr) based on said collected BG data; and
estimating HbA1c using a predetermined mathematical formula based on said computed WR and Dr. - View Dependent Claims (21)
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22. A computerized method for evaluating the long term probability for severe hypoglycemia (SH) of a patient based on BG data collected over a predetermined duration, said method comprising:
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computing weighted deviation toward low blood glucose (WL) and estimated rate of fall of blood glucose in the low BG range (DrDn) based on said collected BG data; and
estimating the number of future SH episodes using a predetermined mathematical formula based on said computed WL and DrDn. - View Dependent Claims (23, 24, 25, 26, 27, 28)
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29. A computerized method for evaluating the long term probability for severe hypoglycemia (SH) of a patient based on BG data collected over a predetermined duration, said method comprising:
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computing weighted deviation toward low blood glucose (WL) and estimated rate of fall of blood glucose in the low BG range (DrDn) based on said collected BG data;
estimating the number of future SH episodes using a predetermined mathematical formula based on said computed WL and DrDn; and
defining a probability of incurring a select number of SH episodes respective to said estimated SH episodes.
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30. A system for evaluating the long term probability for severe hypoglycemia (SH) of a patient based on BG data collected over a predetermined duration, said system comprising:
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a database component operative to maintain a database identifying said BG data;
a processor programmed to;
computing weighted deviation toward low blood glucose (WL) and estimated rate of fall of blood glucose in the low BG range (DrDn) based on said collected BG data; and
estimating the number of future SH episodes using a predetermined mathematical formula based on said computed WL and DrDn. - View Dependent Claims (31, 32, 33, 34, 35, 36)
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37. A glycemic control system for evaluating the long term probability for severe hypoglycemia (SH) of a patient, said system comprising:
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a BG acquisition mechanism, said acquisition mechanism configured to acquire BG data from the patient, a database component operative to maintain a database identifying said BG data;
a processor programmed to;
computing weighted deviation toward low blood glucose (WL) and estimated rate of fall of blood glucose in the low BG range (DrDn) based on said collected BG data; and
estimating the number of future SH episodes using a predetermined mathematical formula based on said computed WL and DrDn.
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38. A computer program product comprising a computer useable medium having computer program logic for enabling at least one processor in a computer system to evaluate long term probability for severe hypoglycemia (SH) of a patient based on BG data, said computer program logic comprising:
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computing weighted deviation toward low blood glucose (WL) and estimated rate of fall of blood glucose in the low BG range (DrDn) based on said collected BG data; and
estimating the number of future SH episodes using a predetermined mathematical formula based on said computed WL and DrDn. - View Dependent Claims (39)
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40. A computerized method for evaluating the short term risk for severe hypoglycemia (SH) of a patient based on BG data collected over a predetermined duration, said method comprising:
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computing weighted deviation toward low blood glucose (WL);
determining Max(wl) by calculating maximum value of wl(BG;
2); and
determining risk value by taking the geometric mean of WL and Max(wl) over said predetermined duration, said risk value is mathematically defined as;
- View Dependent Claims (41, 42, 43, 44, 45, 46, 47)
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48. A system for evaluating the short term risk for severe hypoglycemia (SH) of a patient based on BG data collected over a predetermined duration, said system comprising:
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a database component operative to maintain a database identifying said BG data;
a processor programmed to;
compute weighted deviation toward low blood glucose (WL);
determine Max(wl) by calculating maximum value of wl(BG;
2); and
determine risk value by taking the geometric mean of WL and Max(wl) over said predetermined duration, said risk value is mathematically defined as;
- View Dependent Claims (49, 50, 51, 52, 53, 54, 55)
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56. A glycemic control system for evaluating the short term risk for severe hypoglycemia (SH) of a patient, said system comprising:
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a BG acquisition mechanism, said acquisition mechanism configured to acquire BG data from the patient, a database component operative to maintain a database identifying said BG data;
a processor programmed to;
compute weighted deviation toward low blood glucose (WL);
determine Max(wl) by calculating maximum value of wl(BG;
2); and
determine risk value by taking the geometric mean of WL and Max(wl) over said predetermined duration, said risk value is mathematically defined as;
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57. A computer program product comprising a computer useable medium having computer program logic for enabling at least one processor in a computer system to evaluate the short term risk for severe hypoglycemia (SH) of a patient based on BG data collected over a predetermined duration, said computer program logic comprising:
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computing weighted deviation toward low blood glucose (WL);
determining Max(wl) by calculating maximum value of wl(BG;
2); and
determining risk value by taking the geometric mean of WL and Max(wl) over said predetermined duration, said risk value is mathematically defined as;
- View Dependent Claims (58)
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Specification