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主动脉瓣叶最大分离度与主动脉瓣狭窄的严重程度

Maximal Aortic Valve Cusp Separation and Severity of Aortic Stenosis.

作者信息

Jayaprakash K, Dilu V P, George Raju

机构信息

Additional Professor, Department of Cardiology, Government Medical College, Kottayam, Kerala, India.

Chief Interventional Cardiologist, Department of Cardiology, St. John's Hospital, Kattappana, Kerala, India.

出版信息

J Clin Diagn Res. 2017 Jun;11(6):OC29-OC32. doi: 10.7860/JCDR/2017/27147.10045. Epub 2017 Jun 1.

Abstract

INTRODUCTION

An integrated approach that incorporates two dimensional, M mode and Doppler echocardiographic evaluation has become the standard means for accurate quantification of severity of valvular aortic stenosis. Maximal separation of the aortic valve cusps during systole has been shown to correlate well with the severity of aortic stenosis measured by other echocardiographic parameters.

AIM

To study the correlation between Maximal Aortic valve Cusp Separation (MACS) and severity of aortic valve stenosis and to find cut-off values of MACS for detecting severe and mild aortic stenosis.

MATERIALS AND METHODS

In the present prospective observational study, we have compared the accuracy of MACS distance and the aortic valve area calculated by continuity equation in 59 patients with varying degrees of aortic valve stenosis. Aortic leaflet separation in M mode was identified as the distance between the inner edges of the tips of these structures at mid systole in the parasternal long axis view. Cuspal separation was also measured in 2D echocardiography from the parasternal long axis view and the average of the two values was taken as the MACS. Patients were grouped into mild, moderate and severe aortic stenosis based on the aortic valve area calculated by continuity equation. The resultant data regarding maximal leaflet separation on cross-sectional echocardiogram was then subjected to linear regression analysis in regard to correlation with the peak transvalvular aortic gradient as well as the calculated aortic valve area. A cut-off value for each group was derived using ROC curve.

RESULTS

There was a strong correlation between MACS and aortic valve area measured by continuity equation and the peak and mean transvalvular aortic gradients. Mean MACS was 6.89 mm in severe aortic stenosis, 9.97 mm in moderate aortic stenosis and 12.36 mm in mild aortic stenosis. MACS below 8.25 mm reliably predicted severe aortic stenosis, with high sensitivity, specificity and positive predictive value. MACS above 11.25 mm practically ruled out significant aortic stenosis.

CONCLUSION

Measurement of MACS is a simple echocardio-graphic method to assess the severity of valvular aortic stenosis, with high sensitivity and specificity. MACS can be extremely useful in two clinical situations as a simple screening tool for assessment of stenosis severity and also helps in decision making non invasively when there is discordance between the other echocardiographic parameters of severity of aortic stenosis.

摘要

引言

一种结合二维、M 型和多普勒超声心动图评估的综合方法已成为准确量化主动脉瓣狭窄严重程度的标准手段。已证明收缩期主动脉瓣叶尖最大分离度与通过其他超声心动图参数测量的主动脉狭窄严重程度密切相关。

目的

研究最大主动脉瓣叶尖分离度(MACS)与主动脉瓣狭窄严重程度之间的相关性,并找出用于检测重度和轻度主动脉瓣狭窄的 MACS 临界值。

材料与方法

在本前瞻性观察研究中,我们比较了 59 例不同程度主动脉瓣狭窄患者中 MACS 距离与通过连续方程计算的主动脉瓣面积的准确性。M 型超声心动图中主动脉瓣叶分离度被确定为在胸骨旁长轴视图中收缩中期这些结构尖端内边缘之间的距离。在二维超声心动图中也从胸骨旁长轴视图测量瓣叶分离度,并将两个值的平均值作为 MACS。根据通过连续方程计算的主动脉瓣面积,将患者分为轻度、中度和重度主动脉瓣狭窄组。然后,将关于横截面超声心动图上最大瓣叶分离度的所得数据进行线性回归分析,以研究其与跨瓣主动脉峰值梯度以及计算出的主动脉瓣面积的相关性。使用 ROC 曲线得出每组的临界值。

结果

MACS 与通过连续方程测量的主动脉瓣面积以及跨瓣主动脉峰值和平均梯度之间存在强相关性。重度主动脉瓣狭窄患者的平均 MACS 为 6.89 毫米,中度主动脉瓣狭窄患者为 9.97 毫米,轻度主动脉瓣狭窄患者为 12.36 毫米。MACS 低于 8.25 毫米可可靠地预测重度主动脉瓣狭窄,具有高敏感性、特异性和阳性预测值。MACS 高于 11.25 毫米实际上可排除明显的主动脉瓣狭窄。

结论

MACS 测量是一种评估主动脉瓣狭窄严重程度的简单超声心动图方法,具有高敏感性和特异性。MACS 在两种临床情况下非常有用,作为评估狭窄严重程度的简单筛查工具,并且当主动脉瓣狭窄严重程度的其他超声心动图参数不一致时,有助于无创地进行决策。

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