Tracking the Probability for Imminent Hypoglycemia in Diabetes From Self-Monitoring Blood Glucose (SMBG) Data
First Claim
1. A method for monitoring the probability of occurrence of a hypoglycemic event in a patient within a predetermined future period of time, comprising:
- creating in a processor a bivariate distribution that maps probability for upcoming hypoglycemia jointly to values of a function measuring glycemic variability and a function measuring low blood glucose (BG), each of said functions being based on self-monitoring blood glucose (SMBG) readings obtained from the patient;
optimizing in said processor the bivariate distribution to achieve prediction of a predetermined percentage of hypoglycemic events below a predetermined BG value occurring within a predetermined future time period;
tracking in said processor the optimized distribution over time using routine SMBG readings from the patient; and
outputting via said processor a message to said patient when said optimized distribution indicates a certain probability for the occurrence of a hypoglycemic event in said patient within said predetermined future time period, based on SMBG data obtained from said patient.
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Abstract
A method, system and related computer program product for tracking the probability of hypoglycemia from routine self-monitoring of blood glucose (SMBG) data in patients with diabetes. A specific bivariate probability distribution of low BG events based jointly on the Low BG Index (LBGI) and the Average Daily Risk Range (ADRR) is used to predict hypoglycemia probability of occurrence from inputted SMBG data. The SMBG data is retrieved from a series of SMBG data of a patient available from the patient'"'"'s glucose meter and allows tracking of the probability for future hypoglycemia over a predetermined duration, e.g., a 24 or 48 hour period. The tracking includes presentation of visual and/or numerical output, as we construction of hypoglycemia risk trajectories that would enable warning messages for crossing of predefined thresholds, such as 50% likelihood for upcoming hypoglycemia below 50 mg/dl.
11 Citations
43 Claims
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1. A method for monitoring the probability of occurrence of a hypoglycemic event in a patient within a predetermined future period of time, comprising:
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creating in a processor a bivariate distribution that maps probability for upcoming hypoglycemia jointly to values of a function measuring glycemic variability and a function measuring low blood glucose (BG), each of said functions being based on self-monitoring blood glucose (SMBG) readings obtained from the patient; optimizing in said processor the bivariate distribution to achieve prediction of a predetermined percentage of hypoglycemic events below a predetermined BG value occurring within a predetermined future time period; tracking in said processor the optimized distribution over time using routine SMBG readings from the patient; and outputting via said processor a message to said patient when said optimized distribution indicates a certain probability for the occurrence of a hypoglycemic event in said patient within said predetermined future time period, based on SMBG data obtained from said patient. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 37, 38)
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19. A system for monitoring the probability of occurrence of a hypoglycemic event in a patient within a predetermined future period of time, comprising:
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a processor; a storage medium; a bivariate distribution stored in said storage medium, which maps probability for upcoming hypoglycemia jointly to values of a function measuring glycemic variability and a function measuring low blood glucose (BG), each of said functions being based on self-monitoring blood glucose (SMBG) readings obtained from the patient, wherein said bivariate distribution allows prediction of a predetermined percentage of hypoglycemic events below a predetermined BG value occurring within a predetermined future time period; said processor being adapted to track the optimized distribution over time using routine SMBG readings from the patient; and said processor being adapted to output a message to said patient when said optimized distribution indicates a certain probability for the occurrence of a hypoglycemic event in said patient within said predetermined future time period, based on SMBG data obtained from said patient. - View Dependent Claims (20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 39, 40)
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41. A computer program product comprising a non-transitory computer-readable storage medium containing computer-executable instructions for monitoring the probability of occurrence of a hypoglycemic event in a patient within a predetermined future period of time, said instructions causing a computer to:
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create a bivariate distribution in said storage medium, which maps probability for upcoming hypoglycemia jointly to values of a function measuring glycemic variability and a function measuring low blood glucose (BG), each of said functions being based on self-monitoring blood glucose (SMBG) readings obtained from the patient, wherein said bivariate distribution allows prediction of a predetermined percentage of hypoglycemic events below a predetermined BG value occurring within a predetermined future time period; track the optimized distribution over time using routine SMBG readings from the patient; and output a message to said patient when said optimized distribution indicates a certain probability for the occurrence of a hypoglycemic event in said patient within said predetermined future time period, based on SMBG data obtained from said patient. - View Dependent Claims (42, 43)
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Specification