Table of Contents
International Scholarly Research Notices
Volume 2014 (2014), Article ID 616271, 10 pages
http://dx.doi.org/10.1155/2014/616271
Research Article

Epidemiologic Behavior and Estimation of an Optimal Cut-Off Point for Homeostasis Model Assessment-2 Insulin Resistance: A Report from a Venezuelan Population

1Endocrine and Metabolic Diseases Research Center, University of Zulia, Maracaibo 4001, Venezuela
2Institute of Clinical Immunology, University of Los Andes, Mérida 5101, Venezuela
3Institute of Biological Investigations, University of Zulia, Maracaibo 4001, Venezuela
4Pharmacology Department, Physiological Sciences Unit, University of Zulia, Maracaibo 4001, Venezuela
5Morphological Sciences Department, University of Zulia, Maracaibo 4001, Venezuela
6Lipid and Atherosclerosis Unit, Department of Medicine, IMIBIC/Reina Sofia University Hospital/University of Cordoba and CIBER Fisiopatología Obesidad y Nutrición (CIBEROBN), Institute of Health Carlos III, Córdova 14004, Spain

Received 3 July 2014; Revised 24 August 2014; Accepted 25 August 2014; Published 29 October 2014

Academic Editor: Hui-Qi Qu

Copyright © 2014 Valmore Bermúdez et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Background. Mathematical models such as Homeostasis Model Assessment have gained popularity in the evaluation of insulin resistance (IR). The purpose of this study was to estimate the optimal cut-off point for Homeostasis Model Assessment-2 Insulin Resistance (HOMA2-IR) in an adult population of Maracaibo, Venezuela. Methods. Descriptive, cross-sectional study with randomized, multistaged sampling included 2,026 adult individuals. IR was evaluated through HOMA2-IR calculation in 602 metabolically healthy individuals. For cut-off point estimation, two approaches were applied: HOMA2-IR percentile distribution and construction of ROC curves using sensitivity and specificity for selection. Results. HOMA2-IR arithmetic mean for the general population was , with for women and for men (). When calculating HOMA2-IR for the healthy reference population, the resulting p75 was 2.00. Using ROC curves, the selected cut-off point was 1.95, with an area under the curve of 0.801, sensibility of 75.3%, and specificity of 72.8%. Conclusions. We propose an optimal cut-off point of 2.00 for HOMA2-IR, offering high sensitivity and specificity, sufficient for proper assessment of IR in the adult population of our city, Maracaibo. The determination of population-specific cut-off points is needed to evaluate risk for public health problems, such as obesity and metabolic syndrome.