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

心脏病危险度评分（FRS）是预测冠心病（CHD）发病率的标准工具之一。之前没有研究研究其在日本人群队列中的疗效。本研究的目的是使新开发的冠状动脉预测算法在日本人口的FRS的方式相比，原始FRS。我们的冠状动脉预测算法为日本人是基于一个大的人口为基础的队列研究（Suita研究）。研究对象最初包括5，886名健康日本人。C统计量显示，新模型的准确性优于原始和重新校准的Fragrance Score。与原始FRS相比，纳入CKD的Suita评分的净重新分类改善（NRI）为41.2%（P<0.001）。FRS的重新校准略微提高了预测效率，但仍不如CKD模型的Suita评分。Suita评分对CKD患者CHD的危险性预测更准确。

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.