Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans (original) (raw)

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1Hypertension-Endocrine Branch and Division of Epidemiology and Clinical Applications, National Heart, Lung, and Blood Institute, National Institutes of Health (D.A.F.), Bethesda, Maryland 20892

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1Hypertension-Endocrine Branch and Division of Epidemiology and Clinical Applications, National Heart, Lung, and Blood Institute, National Institutes of Health (D.A.F.), Bethesda, Maryland 20892

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2Division of Endocrinology and Metabolism, Indiana University School of Medicine (K.M., A.D.B.), Indianapolis, Indiana 46202

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2Division of Endocrinology and Metabolism, Indiana University School of Medicine (K.M., A.D.B.), Indianapolis, Indiana 46202

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1Hypertension-Endocrine Branch and Division of Epidemiology and Clinical Applications, National Heart, Lung, and Blood Institute, National Institutes of Health (D.A.F.), Bethesda, Maryland 20892

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1Hypertension-Endocrine Branch and Division of Epidemiology and Clinical Applications, National Heart, Lung, and Blood Institute, National Institutes of Health (D.A.F.), Bethesda, Maryland 20892

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1Hypertension-Endocrine Branch and Division of Epidemiology and Clinical Applications, National Heart, Lung, and Blood Institute, National Institutes of Health (D.A.F.), Bethesda, Maryland 20892

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Received:

02 December 1999

Revision received:

07 February 2000

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Arie Katz, Sridhar S. Nambi, Kieren Mather, Alain D. Baron, Dean A. Follmann, Gail Sullivan, Michael J. Quon, Quantitative Insulin Sensitivity Check Index: A Simple, Accurate Method for Assessing Insulin Sensitivity In Humans, The Journal of Clinical Endocrinology & Metabolism, Volume 85, Issue 7, 1 July 2000, Pages 2402–2410, https://doi.org/10.1210/jcem.85.7.6661
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Insulin resistance plays an important role in the pathophysiology of diabetes and is associated with obesity and other cardiovascular risk factors. The “gold standard” glucose clamp and minimal model analysis are two established methods for determining insulin sensitivity in vivo, but neither is easily implemented in large studies. Thus, it is of interest to develop a simple, accurate method for assessing insulin sensitivity that is useful for clinical investigations. We performed both hyperinsulinemic isoglycemic glucose clamp and insulin-modified frequently sampled iv glucose tolerance tests on 28 non-obese, 13 obese, and 15 type 2 diabetic subjects. We obtained correlations between indexes of insulin sensitivity from glucose clamp studies (SIClamp) and minimal model analysis (SIMM) that were comparable to previous reports (r = 0.57). We performed a sensitivity analysis on our data and discovered that physiological steady state values [i.e. fasting insulin (I0) and glucose (G0)] contain critical information about insulin sensitivity. We defined a quantitative insulin sensitivity check index (QUICKI = 1/[log(I0) + log(G0)]) that has substantially better correlation with SIClamp (r = 0.78) than the correlation we observed between SIMM and SIClamp. Moreover, we observed a comparable overall correlation between QUICKI and SIClamp in a totally independent group of 21 obese and 14 nonobese subjects from another institution. We conclude that QUICKI is an index of insulin sensitivity obtained from a fasting blood sample that may be useful for clinical research.

Copyright © 2000 by The Endocrine Society

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