Application of cardiovascular disease risk prediction models and the relevance of novel biomarkers to risk stratification in Asian Indians

Original Research

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Authors: S Kanjilal, VS Rao, M Mukherjee, BK Natesha1, KS Renuka, et al

Published Date March 2008 Volume 2008:4(1) Pages 199 - 211

DOI: http://dx.doi.org/10.2147/VHRM.S2307

S Kanjilal¹, VS Rao¹, M Mukherjee¹, BK Natesha¹, KS Renuka¹, K Sibi¹, SS Iyengar¹, Vijay V Kakkar^1,2

¹Tata Proteomics and Coagulation Department, Thrombosis Research Institute, Bangalore, Narayana Hrudayalaya Hospital, Bangalore, Karnataka, India; ²Thrombosis Research Institute, London, UK

Abstract: The increasing pressure on health resources has led to the emergence of risk assessment as an essential tool in the management of cardiovascular disease (CVD). Concern exists regarding the validity of their generalization to all populations. Existing risk scoring models do not incorporate emerging ‘novel’ risk factors. In this context, the aim of the study was to examine the relevance of British, European, and Framingham predictive CVD risk scores to the asymptomatic high risk Indian population. Blood samples drawn from the participants were analyzed for various ‘traditional’ and ‘novel’ biomarkers, and their CVD risk factor profiling was also done. The Framingham model defined only 5% of the study cohort to be at high risk, which appears to be an underestimation of CVD risk in this genetically predisposed population. These subjects at high risk had significantly elevated levels of lipid, pro-inflammatory, pro-thrombotic, and serological markers. It is more relevant to develop risk predictive scores for application to the Indian population. This study substantiates the argument that alternative approaches to risk stratification are required in order to make them more adaptable and applicable to different populations with varying risk factor and disease patterns.

Keywords: atherosclerosis, risk factors, risk score, Framingham, plasma biomarkers

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