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Epidemiologic Behavior and Estimation of an Optimal Cut-Off Point for Homeostasis Model Assessment-2 Insulin Resistance: A Report from a Venezuelan Population.
Bermúdez, Valmore; Rojas, Joselyn; Martínez, María Sofía; Apruzzese, Vanessa; Chávez-Castillo, Mervin; Gonzalez, Robys; Torres, Yaquelín; Salazar, Juan; Bello, Luis; Añez, Roberto; Chacín, Maricarmen; Toledo, Alexandra; Cabrera, Mayela; Mengual, Edgardo; Ávila, Raquel; Pachano, Freddy; López-Miranda, José.
Afiliação
  • Bermúdez V; Endocrine and Metabolic Diseases Research Center, University of Zulia, Maracaibo 4001, Venezuela.
  • Rojas J; Endocrine and Metabolic Diseases Research Center, University of Zulia, Maracaibo 4001, Venezuela; Institute of Clinical Immunology, University of Los Andes, Mérida 5101, Venezuela.
  • Martínez MS; Endocrine and Metabolic Diseases Research Center, University of Zulia, Maracaibo 4001, Venezuela.
  • Apruzzese V; Endocrine and Metabolic Diseases Research Center, University of Zulia, Maracaibo 4001, Venezuela.
  • Chávez-Castillo M; Endocrine and Metabolic Diseases Research Center, University of Zulia, Maracaibo 4001, Venezuela.
  • Gonzalez R; Endocrine and Metabolic Diseases Research Center, University of Zulia, Maracaibo 4001, Venezuela.
  • Torres Y; Endocrine and Metabolic Diseases Research Center, University of Zulia, Maracaibo 4001, Venezuela.
  • Salazar J; Endocrine and Metabolic Diseases Research Center, University of Zulia, Maracaibo 4001, Venezuela.
  • Bello L; Endocrine and Metabolic Diseases Research Center, University of Zulia, Maracaibo 4001, Venezuela.
  • Añez R; Endocrine and Metabolic Diseases Research Center, University of Zulia, Maracaibo 4001, Venezuela.
  • Chacín M; Endocrine and Metabolic Diseases Research Center, University of Zulia, Maracaibo 4001, Venezuela.
  • Toledo A; Endocrine and Metabolic Diseases Research Center, University of Zulia, Maracaibo 4001, Venezuela.
  • Cabrera M; Endocrine and Metabolic Diseases Research Center, University of Zulia, Maracaibo 4001, Venezuela.
  • Mengual E; Endocrine and Metabolic Diseases Research Center, University of Zulia, Maracaibo 4001, Venezuela; Institute of Biological Investigations, University of Zulia, Maracaibo 4001, Venezuela.
  • Ávila R; Pharmacology Department, Physiological Sciences Unit, University of Zulia, Maracaibo 4001, Venezuela.
  • Pachano F; Morphological Sciences Department, University of Zulia, Maracaibo 4001, Venezuela.
  • López-Miranda J; Lipid 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.
Int Sch Res Notices ; 2014: 616271, 2014.
Article em En | MEDLINE | ID: mdl-27379332
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 2.21 ± 1.42, with 2.18 ± 1.37 for women and 2.23 ± 1.47 for men (P = 0.466). 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.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Observational_studies / Prognostic_studies / Risk_factors_studies País/Região como assunto: America do sul / Venezuela Idioma: En Revista: Int Sch Res Notices Ano de publicação: 2014 Tipo de documento: Article País de afiliação: Venezuela País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Observational_studies / Prognostic_studies / Risk_factors_studies País/Região como assunto: America do sul / Venezuela Idioma: En Revista: Int Sch Res Notices Ano de publicação: 2014 Tipo de documento: Article País de afiliação: Venezuela País de publicação: Estados Unidos