Suppr超能文献

通过定量二维超声心动图多普勒研究预测左心室流出道梗阻的严重程度。

Prediction of the severity of left ventricular outflow tract obstruction by quantitative two-dimensional echocardiographic Doppler studies.

作者信息

Lima C O, Sahn D J, Valdes-Cruz L M, Allen H D, Goldberg S J, Grenadier E, Barron J V

出版信息

Circulation. 1983 Aug;68(2):348-54. doi: 10.1161/01.cir.68.2.348.

Abstract

In this study we explored the use of continuous wave Doppler echocardiography guided by simultaneous two-dimensional echocardiographic imaging as a method for noninvasively estimating pressure gradients in patients with discrete forms of left ventricular outflow tract obstruction. We studied 16 children, ages 6 months to 17 years, with valvular aortic stenosis (n = 12) or with discrete subaortic stenosis (n = 4) and compared maximal Doppler velocities in the aorta with pressure gradients obtained at cardiac catheterization. Examinations could be performed from the suprasternal notch view or from the apical left ventricular outflow tract view with equal accuracy for the study of flow in the left ventricular outflow tract, and results were comparable in both views. With a simplified Bernoulli relationship (gradient = 4 X [maximal velocity]2), results suggested that Doppler echocardiography could be used to predict the severity of obstruction in our patients with a correlation coefficient of r = .94 (SEE +/- 7.5 mm Hg) between Doppler-estimated gradients and gradients obtained at catheterization. The method appears promising for initial evaluation and for serial management of patients with discrete forms of left ventricular outflow tract obstruction.

摘要

在本研究中,我们探索了在二维超声心动图同步成像引导下使用连续波多普勒超声心动图,作为一种无创估计离散型左心室流出道梗阻患者压力阶差的方法。我们研究了16名年龄在6个月至17岁之间的儿童,其中患有瓣膜性主动脉狭窄的有12名,患有离散型主动脉瓣下狭窄的有4名,并将主动脉内的最大多普勒速度与心导管检查时获得的压力阶差进行了比较。对于左心室流出道血流的研究,可从胸骨上切迹视图或心尖左心室流出道视图进行检查,二者准确性相同,且两种视图的结果具有可比性。采用简化的伯努利关系式(阶差 = 4×[最大速度]²),结果表明,多普勒超声心动图可用于预测我们研究患者的梗阻严重程度,多普勒估计阶差与心导管检查获得的阶差之间的相关系数r = 0.94(标准误±7.5 mmHg)。该方法对于离散型左心室流出道梗阻患者的初始评估和系列管理似乎很有前景。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验