A simple intravenous glucose tolerance test for assessment of insulin sensitivity.

Robert G Hahn, Stefan Ljunggren, Filip Larsen, Thomas Nyström
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引用次数: 34

Abstract

Background: The aim of the study was to find a simple intravenous glucose tolerance test (IVGTT) that can be used to estimate insulin sensitivity.

Methods: In 20 healthy volunteers aged between 18 and 51 years (mean, 28) comparisons were made between kinetic parameters derived from a 12-sample, 75-min IVGTT and the M(bw) (glucose uptake) obtained during a hyperinsulinemic euglycemic glucose clamp. Plasma glucose was used to calculate the volume of distribution (V(d)) and the clearance (CL) of the injected glucose bolus. The plasma insulin response was quantified by the area under the curve (AUC(ins)). Uptake of glucose during the clamp was corrected for body weight (M(bw)).

Results: There was a 7-fold variation in M(bw). Algorithms based on the slope of the glucose-elimination curve (CL/V(d)) in combination with AUC(ins) obtained during the IVGTT showed statistically significant correlations with M(bw), the linearity being r(2) = 0.63-0.83. The best algorithms were associated with a 25-75th prediction error ranging from -10% to +10%. Sampling could be shortened to 30-40 min without loss of linearity or precision.

Conclusion: Simple measures of glucose and insulin kinetics during an IVGTT can predict between 2/3 and 4/5 of the insulin sensitivity.

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用于评估胰岛素敏感性的简单静脉葡萄糖耐量试验。
背景:本研究的目的是寻找一种简单的静脉葡萄糖耐量试验(IVGTT),可用于估计胰岛素敏感性。方法:对20名年龄在18岁至51岁之间的健康志愿者(平均28岁)进行了12个样本75分钟IVGTT的动力学参数与高胰岛素正常血糖钳夹期间获得的M(bw)(葡萄糖摄取)的比较。用血浆葡萄糖计算葡萄糖丸的分布体积(V(d))和清除率(CL)。血浆胰岛素反应用曲线下面积(AUC(ins))来量化。钳夹期间的葡萄糖摄取根据体重(M(bw))进行校正。结果:M(bw)有7倍的变异。基于葡萄糖消除曲线斜率(CL/V(d))的算法结合IVGTT期间获得的AUC(ins)与M(bw)的相关性具有统计学意义,线性关系为r(2) = 0.63-0.83。最佳算法的预测误差为25- 75%,范围为-10%至+10%。采样可缩短至30-40分钟而不损失线性或精度。结论:IVGTT期间葡萄糖和胰岛素动力学的简单测量可以预测2/3到4/5的胰岛素敏感性。
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Theoretical Biology and Medical Modelling
Theoretical Biology and Medical Modelling MATHEMATICAL & COMPUTATIONAL BIOLOGY-
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期刊介绍: Theoretical Biology and Medical Modelling is an open access peer-reviewed journal adopting a broad definition of "biology" and focusing on theoretical ideas and models associated with developments in biology and medicine. Mathematicians, biologists and clinicians of various specialisms, philosophers and historians of science are all contributing to the emergence of novel concepts in an age of systems biology, bioinformatics and computer modelling. This is the field in which Theoretical Biology and Medical Modelling operates. We welcome submissions that are technically sound and offering either improved understanding in biology and medicine or progress in theory or method.
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