Key result
The Framingham model defined only 5% of the asymptomatic high-risk Indian cohort to be at high risk for CVD, suggesting an underestimation in this genetically predisposed population.
Why the study?
Do British, European, and Framingham predictive CVD risk scores accurately stratify cardiovascular risk in an asymptomatic high-risk Indian population?
Population
Asymptomatic high risk Indian population
Design
Cross-sectional
Authors
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May underestimate CVD risk in high-risk Indians; leaves open validation of ethnicity-specific scores in prospective studies.
Cross-Sectional
Do British, European, and Framingham predictive CVD risk scores accurately stratify cardiovascular risk in an asymptomatic high-risk Indian population?
Standard Western cardiovascular risk prediction models like Framingham may significantly underestimate risk in Asian Indians, highlighting the need for population-specific risk scores incorporating novel biomarkers.
Veena Rao (2008) conducted a cross-sectional in Cardiovascular disease risk. Cardiovascular disease risk prediction models (British, European, and Framingham) was evaluated on Proportion of cohort defined as high risk by the Framingham model. The Framingham model defined only 5% of the asymptomatic high-risk Indian cohort to be at high risk for CVD, suggesting an underestimation in this genetically predisposed population.
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