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

被引：0

作者：

Agbaje, OF ^{[1
]}

Luzio, SD ^{[1
]}

Albarrak, AIS ^{[1
]}

Lunn, DJ ^{[1
]}

Owens, DR ^{[1
]}

Hovorka, R ^{[1
]}

机构：

[1] City Univ London, Metab Modelling Grp, London, England

来源：

MODELLING AND CONTROL IN BIOMEDICAL SYSTEMS 2003 (INCLUDING BIOLOGICAL SYSTEMS) | 2003年

关键词：

stochastic modelling; hierarchical systems; sampling frequency; parameter estimation; stochastic parameters;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页码：421 / 425

页数：5

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