Lipid accumulation products: A better marker for prediction of metabolic syndrome

Introduction: We can use lipid accumulation product as a clinical indicator for metabolic syndrome. However, there is few study regarding this, hence we aimed to use lipid accumulation product as clinical marker for predicting metabolic syndrome. Materials and Methods: It is a hospital based study conducted over 640 subjects selected from metabolic syndrome OPD from Subharti Medical College, Meerut. Metabolic syndrome (MS) was defined according to the IDF criteria of MS. LAP can be calculated by using the formula, (waist circumference [cm] ? 65) × (triglyceride [mM/L]) for men, and (waist circumference [cm] ? 58) × (triglyceride [mM/L]) for women. The area under the receiver-operating characteristic curve was calculated for predicting LAP, a better marker. Results: In our study, the prevalence of metabolic syndrome was 19.5%. The prevalence of metabolic syndrome was slightly higher in female (19.93%) as compared to male (19.09%). The area under the curve for LAP showed the highest prediction accuracy than waist to height ratio and BMI with an area under the ROC curve (AUC) of 0.905 and it was significantly higher than waist-to-height ratio (AUC = 0.829) and BMI (AUC = 0.702). Conclusion: In conclusion, we can use LAP as a simple and precise marker for the risk of metabolic syndrome. Keywords: Adiposity, Waist to height ratio, BMI, Lipid accumulation product, Metabolic syndrome.