Development of new risk score of CHD and assement of new biomarkers based on Suita Cohort

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Framingham risk score (FRS) is known as one of standard prediction tools for coronary heart disease (CHD) incidence. No previous study investigated its efficacy for Japanese population cohort. The purpose of this study was to make newly developed coronary prediction algorithms for a Japanese population in the manner of FRS compared with original FRS.Our coronary prediction algorithms for Japanese were based on a large population-based cohort study (Suita study). Study subjects comprised initially 5,886 healthy Japanese.The C-statistics showed the new model is better for accuracy than the original and recalibrated Framingham Scores. The net reclassification improvement (NRI) by the Suita score with inclusion of CKD was 41.2% (P<0.001) compared with the original FRS. Recalibration of FRS slightly improved the efficiency of the prediction, but still worse than the Suita score with CKD model. The Suita score with CKD predicted the risk of CHD more properly.