Accuracy of the triglyceride-glucose index as a surrogate marker for identifying metabolic syndrome in non-diabetic individuals.

OBJECTIVES: This study aimed to verify the performance of the triglyceride-glucose (TyG) index in predicting metabolic syndrome (MetS) using three different criteria in healthy individuals living in rural areas. In addition, it aimed to estimate the TyG index cutoff point in the prediction of MetS.

METHODS: The study was a cross-sectional study of healthy individuals (aged ≥18 y) living in rural areas of southern Brazil. Individuals with diabetes mellitus were excluded. The variables investigated were waist circumference, blood pressure, triglycerides, high-density lipoprotein cholesterol, fasting glucose, and TyG index. MetS was defined using three criteria: harmonized, International Diabetes Foundation, and National Cholesterol Education Program Adult Treatment Panel III. The Poisson regression model was used for the multivariate analysis. The performance of the TyG index in identifying MetS was determined by receiver operating characteristic curves.

RESULTS: A total of 133 individuals were included in this study, with a mean age of 49.0 ± 13.5 y; 54.1% were female. The TyG index performed better in predicting MetS through the harmonized criteria, with area under the curve (AUC) = 0.889 (95% confidence interval [CI], 0.829-0.949), followed by the International Diabetes Foundation criteria, with AUC = 0.877 (95% CI, 0.814-0.940), and the National Cholesterol Education Program criteria, with AUC = 0.867 (95% CI, 0.797-0.937). The TyG index cutoff points defined for the harmonized and International Diabetes Foundation criteria were ≥ 8.61, and ≥ 8.79 for the National Cholesterol Education Program Adult Treatment Panel III.

CONCLUSIONS: The TyG index proved to be valid for diagnosing MetS. The largest AUC of the TyG index was identified for the harmonized criteria. Thus, the TyG index can be used to diagnose MetS in individuals living in rural areas.