Method and device for utilizing analyte levels to assist in the treatment of diabetes
First Claim
1. A method of assessing an insulin activity error and its effect on glucose levels, the method comprising the computer implemented steps of:
- measuring an amount of a first analyte in a biological fluid sample reflecting body fat metabolism and an amount of a second analyte in the biological fluid sample reflecting glucose metabolism, assessing a real insulin activity level based on the amount of the first analyte in the biological fluid sample, comparing the real insulin activity with a theoretical amount of insulin to calculate the insulin activity error; and
assessing a glucose level based on the amount of the second analyte in the biological fluid and the calculated insulin activity error
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Abstract
A health-monitoring device assesses the health of a user based on levels of two analytes in a biological fluid. A first analyte that is utilized to assess a user'"'"'s health is a fat metabolism analyte, such as ketones, free fatty acids and glycerol, which is indicative of fat metabolism. A second analyte that is utilized is a glucose metabolism analyte, such as glucose. The levels of the two analytes may be used to assess insulin sensitivity, to detect both recent hypoglycemia and the cause of high glucose levels, and/or to guide therapeutic intervention. The dual analyte model may calculate a discrepancy between an actual insulin activity level and a theoretical insulin activity level. The dual analyte model of the present invention may be used to identify individuals at risk for metabolic syndrome, insulin resistance and non-insulin dependent diabetes, and allows monitoring of the progression of those disease states, as well as progress made by therapeutic interventions.
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Citations
20 Claims
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1. A method of assessing an insulin activity error and its effect on glucose levels, the method comprising the computer implemented steps of:
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measuring an amount of a first analyte in a biological fluid sample reflecting body fat metabolism and an amount of a second analyte in the biological fluid sample reflecting glucose metabolism, assessing a real insulin activity level based on the amount of the first analyte in the biological fluid sample, comparing the real insulin activity with a theoretical amount of insulin to calculate the insulin activity error; and
assessing a glucose level based on the amount of the second analyte in the biological fluid and the calculated insulin activity error - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A method of predicting a user'"'"'s glucose levels in the future, comprising the computer implemented steps of:
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measuring an amount of a first analyte in a biological fluid sample reflecting body fat metabolism and an amount of a second analyte in the biological fluid sample reflecting glucose metabolism, assessing a real insulin activity level in the user based on the amount of the first analyte in the biological fluid sample;
comparing the real insulin activity level with a theoretical amount of insulin to calculate an insulin activity error;
utilizing an additional parameter comprising at least one of;
body mass index, gender, meal intake, medication, exercise duration and intensity, alcohol consumption and weight;
utilizing a relevant algorithm corrected for the insulin activity error to model the glucose levels for a future period. - View Dependent Claims (10, 11, 12, 13, 14)
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15. A health-monitoring device comprising:
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a test element for measuring an amount of a first analyte in a biological fluid sample reflecting body fat metabolism and an amount of a second analyte in the biological fluid sample reflecting glucose metabolism, and a processor for assessing a real insulin activity level of the user based on the amount of the first analyte in the biological fluid sample, comparing the calculated real insulin activity with a theoretical amount of insulin to calculate an insulin activity error, and assessing a glucose level based on the amount of the second analyte in the biological fluid and the calculated insulin activity error. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification