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综合评分——方法与预测效度:来自弗雷明汉姆研究的见解

Composite scoring--methods and predictive validity: insights from the Framingham Study.

作者信息

Kannel W B, McGee D L

机构信息

Section of Preventive Medicine and Epidemiology, Boston University Medical Center, MA 02118.

出版信息

Health Serv Res. 1987 Oct;22(4):499-535.

Abstract

After three decades of epidemiologic research at Framingham and elsewhere, the risk factor concept is now firmly established. Atherosclerotic cardiovascular disease can now be predicted and highly vulnerable candidates identified from profiles derived from ordinary office procedures and simple laboratory tests [1]. Risk can be estimated over a 20--30-fold range, and close to half of the cardiovascular events are found to occur in a tenth of the population at highest multivariate risk. Categorical risk assessments focusing on the number of "risk factors" present also identify high-risk subjects but tend to overlook high-risk individuals with multiple marginal abnormalities. Multivariate cardiovascular risk profiles made up of the major cardiovascular risk factors can predict all of the major cardiovascular events, even in advanced age, with reasonable efficiency. Such multivariate risk assessments can be made convenient by reproduction of handbooks and use of small programmed calculators, software for personal computers, and slide rules to facilitate office and public health assessments. The sensitivity and specificity of these risk profiles can probably be improved by more detailed lipid information, including HDL-cholesterol [12], vital capacity determination, and other ECG abnormalities. General cardiovascular risk profiles can be devised to predict efficiently all of the major cardiovascular events.

摘要

经过在弗雷明汉及其他地区三十年的流行病学研究,风险因素的概念现已牢固确立。如今,动脉粥样硬化性心血管疾病可以通过普通门诊检查和简单实验室检测得出的资料进行预测,并识别出高风险人群[1]。风险可以在20至30倍的范围内进行估计,并且近一半的心血管事件发生在多变量风险最高的十分之一人群中。侧重于存在的“风险因素”数量的分类风险评估也能识别出高风险个体,但往往会忽略具有多种边缘异常的高风险个体。由主要心血管风险因素组成的多变量心血管风险资料,即使在高龄人群中,也能以合理的效率预测所有主要心血管事件。通过复制手册以及使用小型编程计算器、个人计算机软件和计算尺来方便办公室和公共卫生评估,就可以进行这种多变量风险评估。这些风险资料的敏感性和特异性可能通过更详细的血脂信息(包括高密度脂蛋白胆固醇[12])、肺活量测定以及其他心电图异常情况得到提高。可以设计通用的心血管风险资料,以便有效地预测所有主要心血管事件。

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Differences in coronary heart disease in Framingham, Honolulu and Puerto Rico.
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