Reduced sampling protocols with Bayesian hierarchical analysis during minimal model of IVGTT

Bayesian analysis was adopted in combination with hierarchical (population) modelling to estimate population and individual insulin sensitivity S, 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 SG 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.