Introduction: Metabolic syndrome (MetS) is a pathophysiological condition defined by a set of metabolic alterations such as hypertriglyceridemia, hyperglycemia, hypertension, low HDL-c levels, and visceral obesity. Its presence identifies people with an increased risk of developing cardiovascular diseases and type 2 diabetes; however, the lack of practical and reliable methods for its diagnosis limits the identification of people with this condition. In this sense, the objective of this study was to analyze the diagnostic utility of markers derived from the lipid profile [triglyceride-glucose (TyG) index and the ratios total cholesterol (TC)/high-density lipoprotein cholesterol (HDL-c), triglyceride (TG)/HDL-c, low-density lipoprotein cholesterol/HDL-c, fasting blood glucose (FBG)/HDL-c, and white blood cell/HDL-c] in the determination of MetS. Methods: A retrospective study was designed that included 619 individuals. A logistic regression model was used to evaluate the associations of the different markers with MetS, and the cutoff points of the markers were determined through an analysis of receiver operating characteristic curves and the Youden Index. Results: A positive and significant association was observed between all markers and the presence of MetS. The cutoff values for the markers that best predicted MetS were TyG ≥ 4.8 (sensitivity = 91.4%, specificity = 74.3%), TC/HDL-c ≥ 3.7 (sensitivity = 74.3%, specificity = 75.7%), TG/HDL-c ≥ 3.3 (sensitivity = 82.5%, specificity = 84.0%), and FBG/HDL-c ≥ 2.0 (sensitivity = 85.1%, specificity = 79.7%). Conclusion: Our study demonstrated the diagnostic relevance of the different markers in detecting MetS, suggesting that these ratios may be useful in clinical practice for the opportune and accurate diagnosis of MetS.
Keywords: FBG/HDL-c ratio; TC/HDL-c ratio; TG/HDL-c ratio; TyG index; lipid profile; metabolic syndrome.