Key result
The FINRISK and Framingham models predicted CVD risk in South Asians that mostly aligned with expected patterns (e.g., 122% risk ratio in men), whereas the SCORE model underestimated risk.
Why the study?
Do the FINRISK, Framingham, and SCORE models accurately predict cardiovascular disease risk in South Asian populations compared to Europeans?
Population
1301 individuals from the Newcastle Heart Project, including South Asians and Europeans.
Comparison
Application of FINRISK, Framingham, and SCORE… vs Observed national mortality data for England and…
Design
Cohort
Authors
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May misclassify CVD risk in South Asians; leaves open need for ethnicity-specific validation before wider use.
Observational (n=1,301)
Do the FINRISK, Framingham, and SCORE models accurately predict cardiovascular disease risk in South Asian populations compared to Europeans?
Framingham and FINRISK models perform better than SCORE for predicting cardiovascular risk in South Asian populations, likely because SCORE lacks HDL and diabetes as risk factors.
Bhopal et al. (2005) conducted an observational in Cardiovascular disease (n=1,301). FINRISK, Framingham, and SCORE risk prediction models vs. Europeans and national mortality data was evaluated on Predicted vs observed cardiovascular disease mortality. The FINRISK and Framingham models predicted CVD risk in South Asians that mostly aligned with expected patterns (e.g., 122% risk ratio in men), whereas the SCORE model underestimated risk.
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