Background <p>Cardiometabolic indices are quick measures of visceral adipose dysfunction that bear significant association with risk of future thrombotic events. Traditionally, body mass index (BMI) and waist circumference (WC) have been used for screening large population masses. With the advent of novel indices with better predictive value, it is imperative to validate the utility of these indices in a demography-specific fashion. In our study, we have attempted to identify the best-performing predictor, and its optimal cut-off point specific to the Indian population.</p> Methods <p>Our study is a hospital-based cross-sectional study involving 200 participants visiting the master health check-up center of our tertiary-care institution. After clinical, anthropometric and biochemical assessments, twenty cardiometabolic indices were calculated for all the participants. Individual cardiovascular, stroke and thromboembolic risks were ascertained through Framingham Risk Score (FRS), CHA₂DS₂VASc score, and Padua Prediction Score, respectively. Receiver operating characteristic analysis was done to identify the indices with statistically significant predictive association for thrombotic risk.</p> Results <p>In our study, eight indices (NVAI, METS-VF, ABSI, CI, WHR, CVAI, TyG-WC, CMI) have shown significant predictive potential for coronary risk, and eleven indices (RFM, BFP, NVAI, WHtR, BRI, TyG-index, CI, VAI, ABSI, TyG-WC, METS-IR) for stroke risk, while four indices (NVAI, ABSI, CI, TyG-WC) are predictive of both risks.</p> Conclusion <p>Overall, NVAI is the best predictor of future thrombo-vascular catastrophe for the Indian demography (FRS AUC = 0.769, CHA₂DS₂VASc AUC = 0.663; p-value &lt; 0.05) with optimal cut-off point of 0.972 (males = 0.993, females = 0.913). BMI has shown poor predictive performance for thrombotic risk as compared to the other indices. Cardiometabolic indices, in general, have limited utility in prediction of future venous thromboembolic events.</p>