Prediction of coronary heart disease using risk factor categories
Prediction of coronary heart disease using risk factor categories
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DOI：
10.1161/01.cir.97.18.1837
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发表时间：
1998-05-12
期刊：
影响因子：
37.8
通讯作者：
Kannel, WB
中科院分区：
文献类型：
--
作者：
Wilson, PWF;D'Agostino, RB;Kannel, WB
背景-本研究的目的是检查联合国家委员会（JNC-V）血压和国家胆固醇教育计划（NCEP）胆固醇类别与冠心病（CHD）风险的关联，将其纳入冠状动脉预测算法，并将这种方法的判别特性与其他非分类预测函数进行比较。以社区为基础的单中心队列研究。患者包括2489名男性和2856名女性，基线时年龄为30至74岁，随访12年。在12年的随访中，共有383名男性和227名女性患冠心病，冠心病与血压、总胆固醇、低密度脂蛋白胆固醇和高密度脂蛋白胆固醇显著相关。
Background-The objective of this study was to examine the association of Joint National Committee (JNC-V) blood pressure and National Cholesterol Education Program (NCEP) cholesterol categories with coronary heart disease (CHD) risk, to incorporate them into coronary prediction algorithms, and to compare the discrimination properties of this approach with other noncategorical prediction functions.Methods and Results-This work was designed as a prospective, single-center study in the setting of a community-based cohort. The patients were 2489 men and 2856 women 30 to 74 years old at baseline with 12 years of follow-up. During the 12 years of follow-up, a total of 383 men and 227 women developed CHD, which was significantly associated with categories of blood pressure, total cholesterol, LDL cholesterol, and HDL cholesterol tall P