Key result
The Korean coronary heart disease risk model demonstrated high discrimination (AUC 0.764 for men, 0.815 for women), whereas the Framingham risk score overestimated CHD events by 3 to 6 times.
Why the study?
Does a population-specific Korean CHD risk model improve prediction of CHD events compared to the Framingham risk score in a Korean cohort?
Population
268,315 Koreans between the ages of 30 and 74 years without CHD at baseline
Comparison
Korean CHD risk model vs Framingham CHD risk score
Design
Cohort
Follow-up
11.6-year median
Authors
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Korean CHD model may refine risk estimates where Framingham overestimates; leaves open need for external validation before adoption.
Cohort (n=268,315)
Yes
Does a population-specific Korean CHD risk model improve prediction of CHD events compared to the Framingham risk score in a Korean cohort?
Effect estimate: AUC 0.764 (men) and 0.815 (women) (95% CI 0.752-0.774 (men); 0.795-0.835 (women))
Jee et al. (2014) conducted a cohort in Coronary heart disease (CHD) risk prediction (n=268,315). Korean CHD risk model vs. Framingham CHD Risk Score was evaluated on Discrimination for non-fatal or fatal CHD events (Area under the ROC curve) (AUC 0.764 (men) and 0.815 (women), 95% CI 0.752-0.774 (men); 0.795-0.835 (women)). The Korean coronary heart disease risk model demonstrated high discrimination (AUC 0.764 for men, 0.815 for women), whereas the Framingham risk score overestimated CHD events by 3 to 6 times.
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