Detection of Metabolic Syndrome Using Insulin Resistance Indexes: A Cross-Sectional Observational Cohort Study
نویسندگان
چکیده
Insulin resistance (IR) is considered cardinal to the pathophysiology of metabolic syndrome (MetS). Previously, several simple indexes IR calculated from biochemical and anthropometric variables have been proposed. However, these are population-dependent; therefore, further studies on a global scale necessary. The present study assessed diagnostic accuracy eight indicators, namely, METS-IR, TG-HDL-c, TyG, TyG-BMI, TyG-NC, TyG-NHtR, TyG-WC, TyG-WHtR, in indicating MetS among Brazilian population. For this, 268 patients (152 men 116 women, 53–59 years age) were included study, out which 111 diagnosed with according National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III). All achieved significant accuracy, TyG-WC (0.849 (0.800–0.889)), TyG (0.837 (0.787–0.879)), TG-HDL-c (0.817 (0.765–0.861)) having highest area under curve (AUC). Further, most heightened sensitivities observed for (90.99%), (89.19%), TyG-NC (84.68%), whereas specificities noted (73.89%), TyG-WHtR (72.61%), (66.88%). Thus, reached greatest AUC values our analyses, making them useful indicators MetS, crucial patients’ clinical management.
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ژورنال
عنوان ژورنال: Endocrines
سال: 2023
ISSN: ['2673-396X']
DOI: https://doi.org/10.3390/endocrines4020021