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Blood glucose meter and computer-implemented method for improving glucose management through modeling of circadian profiles

  • US 8,756,043 B2
  • Filed: 07/26/2012
  • Issued: 06/17/2014
  • Est. Priority Date: 07/26/2012
  • Status: Active Grant
First Claim
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1. A computer-implemented method for improving glucose management with a glucose meter through modeling of circadian profiles, comprising the steps of:

  • defining a plurality of meal periods that each occur each day at a set time;

    building a circadian profile for a diabetic patient, comprising the steps of;

    choosing an observational time frame for the circadian profile comprising a plurality of days that have occurred recently;

    collecting at least two sets of pre- and post-meal period data that were recorded at each of the meal periods that occurred each day in the observational time frame and stored on a glucose meter;

    reading a level of blood glucose on a test strip provided to the glucose meter by the diabetic patient for each of the meal periods;

    identifying doses of diabetes medication, which were respectively taken during each of the meal periods as the readings of the blood glucose levels; and

    storing the blood glucose level and the diabetes medication doses into the circadian profile in a record for each of the meal periods; and

    creating a model of glucose management for the diabetic patient, comprising the steps of;

    defining a modeling period comprising a plurality of days, which each comprise the same plurality of the meal periods that occurred each day in the observational time frame;

    estimating expected blood glucose values and their predicted errors at each of the meal periods occurring each day in the modeling period from the blood glucose levels in each record based on the meal periods in the circadian profile that respectively occur at the same set times and visualizing the expected blood glucose values and their predicted errors over time for each meal period occurring each day in the modeling period in a log-normal distribution;

    determining target ranges for blood glucose at each of the meal periods occurring each day in the modeling period and superimposing the target ranges over the expected blood glucose values for each meal period occurring each day in the modeling period in the log-normal distribution;

    selecting one of the meal periods that occurs on one of the days in the modeling period and modeling a change in the dose of the diabetes medication for the selected meal period, comprising the steps of;

    obtaining a dose-response characteristic comprising a blood glucose lowering effect over time for the modeled change in the dose of the diabetes medication, wherein the blood glucose lowering effect has been normalized with blood glucose lowering effects of diabetes medications based on the same change in the dose;

    propagating the normalized blood glucose lowering effect over time for the modeled change in the dose of the diabetes medication to the expected blood glucose values, beginning with the selected meal period and continuing with each of the meal periods occurring subsequently in the modeling period, the normalized blood glucose lowering effect being adjusted in proportion to the set time of each subsequent meal period until the normalized blood glucose lowering effect is exhausted; and

    visualizing the expected blood glucose values as propagated and their predicted errors in the log-normal distribution,wherein the steps of building the circadian profile are performed on a suitably-programmed glucose meter and the steps of creating the model are performed on a suitably-programmed computer.

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