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通过超声评估颈动脉和股动脉来识别三种经过验证的心血管疾病风险算法遗漏的高危受试者。

Identification by ultrasound evaluation of the carotid and femoral arteries of high-risk subjects missed by three validated cardiovascular disease risk algorithms.

作者信息

Postley John E, Luo Yanting, Wong Nathan D, Gardin Julius M

机构信息

Department of Medicine, Columbia University, New York, New York.

Los Angeles Biomedical Research Institute, Torrance, California.

出版信息

Am J Cardiol. 2015 Nov 15;116(10):1617-23. doi: 10.1016/j.amjcard.2015.08.031. Epub 2015 Sep 5.

Abstract

Atherosclerotic cardiovascular disease (ASCVD) events are the leading cause of death in the United States and globally. Traditional global risk algorithms may miss 50% of patients who experience ASCVD events. Noninvasive ultrasound evaluation of the carotid and femoral arteries can identify subjects at high risk for ASCVD events. We examined the ability of different global risk algorithms to identify subjects with femoral and/or carotid plaques found by ultrasound. The study population consisted of 1,464 asymptomatic adults (39.8% women) aged 23 to 87 years without previous evidence of ASCVD who had ultrasound evaluation of the carotid and femoral arteries. Three ASCVD risk algorithms (10-year Framingham Risk Score [FRS], 30-year FRS, and lifetime risk) were compared for the 939 subjects who met the algorithm age criteria. The frequency of femoral plaque as the only plaque was 18.3% in the total group and 14.8% in the risk algorithm groups (n = 939) without a significant difference between genders in frequency of femoral plaque as the only plaque. Those identified as high risk by the lifetime risk algorithm included the most men and women who had plaques either femoral or carotid (59% and 55%) but had lower specificity because the proportion of subjects who actually had plaques in the high-risk group was lower (50% and 35%) than in those at high risk defined by the FRS algorithms. In conclusion, ultrasound evaluation of the carotid and femoral arteries can identify subjects at risk of ASCVD events missed by traditional risk-predicting algorithms. The large proportion of subjects with femoral plaque only supports the use of including both femoral and carotid arteries in ultrasound evaluation.

摘要

动脉粥样硬化性心血管疾病(ASCVD)事件是美国乃至全球的主要死因。传统的全球风险评估算法可能会遗漏50%发生ASCVD事件的患者。对颈动脉和股动脉进行无创超声评估可以识别出发生ASCVD事件的高危人群。我们研究了不同的全球风险评估算法识别通过超声发现有股动脉和/或颈动脉斑块的人群的能力。研究人群包括1464名23至87岁无症状成年人(女性占39.8%),这些人既往无ASCVD证据,且接受了颈动脉和股动脉的超声评估。对符合算法年龄标准的939名受试者比较了三种ASCVD风险评估算法(10年弗明汉风险评分[FRS]、30年FRS和终生风险)。仅存在股动脉斑块的频率在总人群中为18.3%,在风险评估算法组(n = 939)中为14.8%,仅存在股动脉斑块的频率在性别之间无显著差异。终生风险评估算法识别出的高危人群中,有股动脉或颈动脉斑块的男性和女性最多(分别为59%和55%),但特异性较低,因为高危组中实际有斑块的受试者比例(分别为50%和35%)低于FRS评估算法定义的高危人群。总之,对颈动脉和股动脉进行超声评估可以识别出传统风险预测算法遗漏的发生ASCVD事件的高危人群。仅存在股动脉斑块的受试者比例较高,这支持在超声评估中同时纳入股动脉和颈动脉。

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