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在扩大的中危组中选择性使用冠状动脉钙化测量

Selective use of coronary calcification measurements in an expanded intermediate risk group.

作者信息

Ambrose Marietta S, Nagy Christian D, Blumenthal Roger S

机构信息

Division of Cardiology, Ciccarone Center for Preventive Heart Disease, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.

出版信息

J Cardiovasc Comput Tomogr. 2008 Jul-Aug;2(4):209-13. doi: 10.1016/j.jcct.2008.05.143. Epub 2008 May 29.

Abstract

Risk assessment is an imperative initial step in the clinical management of cardiovascular risk factors. On the basis of the estimation of the 10-year absolute risk of manifesting coronary heart disease (myocardial infarction or coronary heart disease death), risk categories are conventionally divided into low, intermediate, and high. The most widely used quantitative risk assessment algorithm, the Framingham risk score for hard events, is based on traditional risk factors, but it does not fully account for all available cardiovascular risk factors. Current national guidelines defining coronary heart disease risk categories based on the Framingham risk score may inaccurately assign persons with a high burden of subclinical coronary atherosclerosis to a low-risk group (<10% risk), failing to predict the true risk of a cardiovascular event. Coronary artery calcification as a measure of subclinical atherosclerosis has already established itself as a useful adjunct for refining the broad intermediate risk category of adults, leading to more decisive management strategies. In a point-counterpoint format this article argues for the improved accuracy of coronary calcium scoring in predicting the risk of future cardiac events in persons with a low Framingham risk score (including women and different ethnic groups). To better incorporate recent scientific findings into cardiovascular assessment and to refine stratification in those with a low Framingham risk score, we therefore propose a timely algorithm supporting coronary calcium screening in a selected group of low-risk persons.

摘要

风险评估是心血管危险因素临床管理中必不可少的初始步骤。基于对发生冠心病(心肌梗死或冠心病死亡)10年绝对风险的估计,风险类别通常分为低、中、高。应用最广泛的定量风险评估算法,即针对严重事件的弗明汉风险评分,是基于传统危险因素制定的,但它并未充分考虑所有可用的心血管危险因素。目前基于弗明汉风险评分定义冠心病风险类别的国家指南,可能会将亚临床冠状动脉粥样硬化负担较重的人错误地归为低风险组(风险<10%),无法预测心血管事件的真实风险。冠状动脉钙化作为亚临床动脉粥样硬化的一种测量方法,已成为细化成人广泛的中度风险类别的有用辅助手段,从而带来更具决定性的管理策略。本文以针锋相对的形式,论证了冠状动脉钙化评分在预测弗明汉风险评分较低者(包括女性和不同种族群体)未来心脏事件风险方面具有更高的准确性。为了更好地将近期科学发现纳入心血管评估,并细化弗明汉风险评分较低者的分层,我们因此提出一种适时的算法,支持对选定的低风险人群进行冠状动脉钙化筛查。

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