ANALYSIS OF ORAL GLUCOSE TOLERANCE TEST USING MODIFIED ORAL MINIMAL MODEL TO DIAGNOSE OF TYPE 2 DIABETES
Objective: In this paper, a mathematical model with the new insulin system for describing the modified oral minimal model of glucose plasma levels is introduced. This model is combined with non linear least-squares method is used to analyze the results of the oral glucose tolerance test (OGTT) in humans.
Methods: We used this model to analyze the published data of OGTT test to study 741 subjects, including normal glucose tolerance (NGT), impaired glucose tolerance (IGT) and type 2 diabetes mellitus (T2DM) subjects. Reducing the number of blood glucose samples needed and the duration of the tests is necessary to enhance the usability of the mathematical model. In this work, the model was to extrapolate sample data to reduce the number of samples and duration of the OGTT test.
Results: The estimated results from this model for glucose sample showed the good correlation to the reference data. The results showed that the 180 min 4glucose sample could provide a reasonable basis to enhance the use of the modified oral minimal model approach to NGT, IGT and T2DM subjects. The averaged R2 value between experimental and calculated plasma concentrations is 0.960, which indicates excellent agreement.
Conclusion: The averaged R2 value is 0.960, it indicates that a reduction in sample data is possible by using the modified oral minimal model approach to diagnosis of NGT, IGT and T2DM subjects.
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