The Suita score including chronic kidney disease significantly improved the prediction of 10-year coronary heart disease risk in a Japanese urban population compared to the original Framingham Risk Score, with a net reclassification improvement of 41.2%.
Cohort (n=5,521)
No
Does the Suita score with CKD predict the incidence of coronary heart disease more accurately than the Framingham Risk Score in a healthy Japanese population?
The Suita score, which includes CKD, provides a more accurate 10-year prediction of coronary heart disease risk for the Japanese population compared to the Framingham Risk Score, which overestimates risk.
Effect estimate: NRI 41.2%
p-value: p=<0.001
AIM: The Framingham risk score (FRS) is one of the standard tools used to predict the incidence of coronary heart disease (CHD). No previous study has investigated its efficacy for a Japanese population cohort. The purpose of this study was to develop new coronary prediction algorithms for the Japanese population in the manner of the FRS, and to compare them with the original FRS. METHODS: Our coronary prediction algorithms for Japanese were based on a large population-based cohort study (Suita study). The study population comprised 5,521 healthy Japanese. They were followed-up for 11.8 years on average, and 213 cases of CHD were observed. Multiple Cox proportional hazard model by stepwise selection was used to construct the prediction model. RESULTS: Our coronary prediction algorithms for Japanese patients were based on a large populationbased cohort study (the Suita study). A multiple Cox proportional hazard model by stepwise selection was used to construct the prediction model. The C-statistics showed that the new model had better accuracy than the original and recalibrated Framingham scores. The net reclassification improvement (NRI) by the Suita score with the inclusion of CKD was 41.2% (P＜0.001) compared with the original FRS. The recalibration of the FRS slightly improved the efficiency of the prediction, but it was still worse than the Suita score with the CKD model. The calibration analysis suggested that the original FRS and the recalibrated FRS overestimated the risk of CHD in the Japanese population. The Suita score with CKD more accurately predicted the risk of CHD. CONCLUSION: The FRS and recalibrated FRS overestimated the 10-year risk of CHD for the Japanese population. A predictive score including CKD as a coronary risk factor for the Japanese population was more accurate for predicting CHD than the original Framingham risk scores in terms of the C-statics and NRI.
Nishimura et al. (2014) conducted a cohort in Healthy individuals (Coronary Heart Disease risk prediction) (n=5,521). Suita Score with Chronic Kidney Disease (CKD) vs. Framingham Risk Score (FRS) was evaluated on Net reclassification improvement (NRI) for 10-year risk of coronary heart disease (NRI 41.2%, p=<0.001). The Suita score including chronic kidney disease significantly improved the prediction of 10-year coronary heart disease risk in a Japanese urban population compared to the original Framingham Risk Score, with a net reclassification improvement of 41.2%.