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Misclassification of subjects with insulin resistance and associated cardiovascular risk factors by homeostasis model assessment index. Utility of a postprandial method based on oral glucose tolerance test.
MedLine Citation:
PMID:  20850158     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
Different methods are available for assessing insulin sensitivity in the fasting state. However, insulin resistance (IR) is initially a postprandial disturbance; and usually, when basal (fasting) disturbance appears, the process has been in progress for some time. Our aim was to investigate if a postprandial measurement, performing an oral glucose tolerance test (OGTT), is more sensitive than fasting values. We wished to identify early IR states in healthy, nonobese individuals and ascertain if this situation was associated with other cardiovascular risk factors. A total of 90 nonobese, nondiabetic, and nonsmoker individuals were studied. They were divided into 3 groups according to IR state-group 1: non-IR-homeostasis model assessment of IR (HOMA(IR)) and insulin sensitivity index of Matsuda-De Fronzo (ISI-Mat) were normal (HOMA(IR) <3.2 and ISI-Mat >4.0); group 2: with IR post-OGTT (ISI-Mat ≤4.0 and HOMA(IR) <3.2); and group 3: subjects with IR in basal conditions (HOMA(IR) ≥3.2). An intravenous glucose tolerance test to compare both indices was also performed. In 14.4% of subjects, the fasting HOMA(IR) values failed to identify IR (false-negative results). The ISI-Mat values were better correlated than HOMA(IR) (r = 0.875, P = .0001 and r = -0.631, P = .0001, respectively) with insulin sensitivity index obtained with intravenous glucose tolerance test. Subjects with IR had higher prevalence of a cluster of cardiovascular risk factors than non-IR subjects. These data show that that a significant percentage of subjects were misclassified with HOMA(IR). Early identification of IR by OGTT was associated with other cardiovascular risk factors. The OGTT is a simple method that could be applied to accurately identify IR subjects in the general population.
Authors:
Sergio Martinez-Hervas; Carlos Argente; Javier Garcia-Jodar; Antonia Priego; Jose T Real; Arturo Carratala; Rafael Carmena; Juan F Ascaso
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Publication Detail:
Type:  Journal Article     Date:  2010-09-17
Journal Detail:
Title:  Metabolism: clinical and experimental     Volume:  60     ISSN:  1532-8600     ISO Abbreviation:  Metab. Clin. Exp.     Publication Date:  2011 May 
Date Detail:
Created Date:  2011-04-19     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0375267     Medline TA:  Metabolism     Country:  United States    
Other Details:
Languages:  eng     Pagination:  740-6     Citation Subset:  IM    
Copyright Information:
Copyright © 2011 Elsevier Inc. All rights reserved.
Affiliation:
Department of Medicine, Service of Endocrinology and Nutrition, Hospital Clínico Universitario, University of Valencia, E-46010 Valencia, Spain; CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), E-08036 Barcelona, Spain; Fundación Investigación, Hospital Clínico Universitario de Valencia. Instituto de Investigación INCLIVA, E-46010 Valencia, Spain.
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