REDUCED SAMPLING PROTOCOLS WITH BAYESIAN HIERARCHICAL ANALYSIS DURING MINIMAL MODEL OF IVGTT

摘要

Bayesian analysis was adopted in combination with hierarchical (population) modelling to estimate population and individual insulin sensitivity S_I and glucose effectiveness S_G with full (30 sample) and two reduced (12 sample and 13 sample) sampling schemes. After overnight fast, 65 Caucasian subjects with newly presenting Type 2 diabetes according to WHO criteria underwent insulin modified IVGTT. The 13 sample scheme was preferred to the 12 sample scheme and gave accurate estimates of population S_I, individual S_I, but not population S_G and individual S_G. We conclude that the addition of a single sample with insulin modified IVGTT substantially improves accuracy of the calculations of insulin sensitivity