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成年患者主动脉瓣狭窄严重程度的无创评估。

Noninvasive evaluation of the severity of aortic stenosis in adult patients.

作者信息

Nakamura T, Hultgren H N, Shettigar U R, Fowles R E

出版信息

Am Heart J. 1984 May;107(5 Pt 1):959-66. doi: 10.1016/0002-8703(84)90835-4.

Abstract

To determine if a combination of noninvasive variables would be useful in the prediction of the severity of isolated aortic stenosis (AS), 53 patients (mean age 63.4 = 11 years) were evaluated by the following criteria: (1) aortic valve calcification in the plain chest x-ray film; (2) left ventricular hypertrophy by ECG and M-mode echocardiography; (3) faint or absent aortic closure sound; (4) timing of the peak of the systolic murmur; (5) half rise time (T time) of the carotid pulse; and (6) ejection time index. A numeric scoring system and a logistic regression model employing these variables were developed. The total maximum score was 16 points. Sensitivity and specificity for each variable were determined. Patients with clinically evident coronary artery disease (CAD) and significant aortic regurgitation were excluded. All patients underwent hemodynamic studies and coronary arteriography. Thirty-two patients had severe AS (aortic valve area less than 0.75 cm2) and 21 had mild to moderate AS (aortic valve area greater than 0.75 cm2). Significant CAD (greater than or equal to 50% reduction in luminal diameter) was present in 55% of patients. A total score of greater than or equal to 5 occurred in 59% (19 of 32) of patients with severe AS compared to 5% (1 of 21) of patients with mild AS. The presence of subclinical CAD moderately reduced the accuracy of the scoring system principally by its effect upon the timing of the systolic murmur and the ejection time. Combining the scoring system with the presence or absence of symptoms improved the identification of severe AS in patients with a low score.(ABSTRACT TRUNCATED AT 250 WORDS)

摘要

为了确定非侵入性变量组合是否有助于预测单纯性主动脉瓣狭窄(AS)的严重程度,我们依据以下标准对53例患者(平均年龄63.4±11岁)进行了评估:(1)胸部X线平片上的主动脉瓣钙化;(2)心电图和M型超声心动图显示的左心室肥厚;(3)主动脉瓣关闭音微弱或消失;(4)收缩期杂音峰值的时间;(5)颈动脉搏动的半上升时间(T时间);以及(6)射血时间指数。我们建立了一个使用这些变量的数字评分系统和逻辑回归模型。总最高分是16分。确定了每个变量的敏感性和特异性。排除有临床明显冠状动脉疾病(CAD)和显著主动脉瓣反流的患者。所有患者均接受了血流动力学研究和冠状动脉造影。32例患者患有严重AS(主动脉瓣面积小于0.75平方厘米),21例患有轻度至中度AS(主动脉瓣面积大于0.75平方厘米)。55%的患者存在显著CAD(管腔直径减少大于或等于50%)。严重AS患者中59%(32例中的19例)的总得分大于或等于5分,而轻度AS患者中这一比例为5%(21例中的1例)。亚临床CAD的存在主要通过其对收缩期杂音时间和射血时间的影响,适度降低了评分系统的准确性。将评分系统与有无症状相结合,提高了低分患者中严重AS的识别率。(摘要截短于250字)

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