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Background & Objectives: The diagnosis of Metabolic syndrome requires the presence of three or more of the five parameters which includes, Waist Circumference (WC), Blood Pressure (BP), Fasting Blood Sugar (FBS) and triglyceride (TG) level. These disorders stem from a common pathology that is insulin resistance. Instead of depending on costly tests like which also have problems of biological variability , it is important that cheaper and more reliable tests can be used which will help in diagnosing metabolic Syndrome faster. In this study TG/HDL-C and Triglyceride Glucose Index (TyGlu Index) are compared for use in predicting Metabolic Syndrome.
Methods: 600 adults (274 males and 326 females) were included in the study. Physical measurements like height, weight, Blood pressure were measured along with Biochemical parameters like FBS, TG, HDL-C. TG/HDL-C and TyGlu index were measured. The study population was divided into two groups, one with Metabolic Syndrome and one without Metabolic Syndrome. Frequency analysis, Comparison of Means, Correlation Analysis, ROC curves were analysed to get the results.
Results: Overall prevalence of MS was found to be 51.3%(52.3% in females and 49.6% in males). as the number of components of metabolic syndrome increased from 0 to 5, the mean value of both TG /HDL-C ratio and TyGlu index increased. A strong correlation was found between TyG index and TG/HDL-C (Spearman’s rho coefficient 0.819 (p<0.05).
Larger Area Under the Curve (AUC) was obtained for TyG index (0.876;95%CI=0.81-0.88) compared to AUC for TG/HDL ratio (0.849;95% CI=0.84-0.90) with regards to discriminatory power for diagnosis of MS.The optimum cut off was found to be 8.6 (90.6% Sensitivity, 75% specificity) and 2.6 (90% sensitivity & 60 % specificity) respectively for TyG index and TG/HDL ratio.
Conclusion: In this study TyGlu index and TG/HDL-C were found to be better alternatives to diagnose Metabolic Syndrome. Amongst the two TyGlu Index with better AUC with the ROC curve and more reliable and standardized Analytical techniques for TG and FBS was better than TG/HDL in assessing Metabolic Syndrome.