Back

Evaluating Cardiometabolic Indices for Predicting Thrombotic Risk in the Indian Adult Population: A Comparative Analysis

Seshadri, H.; Subramanian, Y.; Nallathambi, N.; R, K.; C, H.

2025-07-21 public and global health
10.1101/2025.07.18.25331803 medRxiv
Show abstract

BackgroundCardiometabolic 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. ObjectiveIn our study, we have attempted to identify the best-performing predictor and its optimal cut-off point specific to the Indian population. MethodsOur 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, CHA2DS2VASc score, and Padua Prediction Score, respectively. ROC analysis was done to identify the indices with statistically significant predictive association for thrombotic risk. ResultsIn 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. ConclusionOverall, NVAI is the best predictor of future thrombovascular catastrophe for the Indian demography (FRS AUC = 0.769, CHA2DS2VASc AUC = 0.663; p-value < 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.

Published in SN Comprehensive Clinical Medicine · not in our set (fewer than 10 published preprints to learn from) · training set

Matching journals

The top 2 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.