超声心动图正常患者的心脏磁共振(CMR)成像对室性心律失常底物的识别和预测

S. Younus, H. Maqsood, A. Gulraiz, Khan, R. Awais
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引用次数: 0

摘要

资金来源类型:其他。主要资金来源:自身恶性室性心律失常约占心源性猝死的一半。在常规实践中,超声心动图被用于识别室性心律失常最常见的底物——结构性心脏病。结构性心脏病的识别和预测是非常重要的,因为它们是室性心律失常预后不良的主要决定因素。目的:本研究的目的是确定心脏磁共振(CMR)是否可以识别超声心动图未观察到病理的室性心律失常患者的结构性心脏病(SHD)。方法:共有864例有明显室性心律失常的患者连续入组这项单中心前瞻性研究。室性心律失常表现为每24小时室性异位搏>1000次,非持续性室性心律失常,持续性室性心律失常,超声心动图无病理病变。主要终点是用CMR检测SHD。次要终点是CMR检测SHD和不明确SHD诊断的异常结果的复合。结果:CMR研究用于诊断212例(24.5%)SHD, 153例(17.7%)患者的异常发现不能明确诊断SHD。心肌炎(n = 84)是最常见的疾病,其次是心律失常性心肌病(n = 51)、缺血性心脏病(n = 32)、扩张性心肌病(n = 17)、肥厚性心肌病(n = 12)、先天性心脏病(n = 08)、左心室不紧实(n = 5)和心包炎(n = 3)。CMR图像上SHD最强的单因素和多因素预测因子是胸痛(优势比[OR]分别为2.5和2.33)和持续性室性心动过速(ORs:分别为2.62和2.21)。结论:我们的研究表明,在相当数量的恶性室性心动过速和超声心动图完全正常的患者中,可以在CMR成像上识别出SHD。胸痛和持续室性心动过速是CMR成像结果阳性的两个最强预测因子。抽象的图。不同SHD的分布
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification and prognostication of the substrate of ventricular arrhythmia with cardiac magnetic resonance (CMR) imaging in patients with normal echocardiography
Type of funding sources: Other. Main funding source(s): Self Malignant ventricular arrhythmia contributes to approximately half of the sudden cardiac deaths. In common practice, echocardiography is used to identify structural heart diseases that are the most frequent substrate of VA. Identification and prognostication of structural heart diseases are very important as they are the main determinant of poor prognosis of ventricular arrhythmia. Purpose : The objective of this study is to determine whether cardiac magnetic resonance (CMR) may identify structural heart disease (SHD) in patients with ventricular arrhythmia who had no pathology observed on echocardiography. Methods : A total of 864 consecutive patients were enrolled in this single-center prospective study with significant ventricular arrhythmia. VA was characterized as >1000 ventricular ectopic beats per 24 hours, non-sustained ventricular arrhythmia, sustained ventricular arrhythmia, and no pathological lesion on echocardiography. The primary endpoint was the detection of SHD with CMR. Secondary endpoints were a composite of CMR detection of SHD and abnormal findings not specific for a definite SHD diagnosis. Results : CMR studies were used to diagnose SHD in 212 patients (24.5%) and abnormal findings not specific for a definite SHD diagnosis in 153 patients (17.7%). Myocarditis (n = 84) was the more frequent disease, followed by arrhythmogenic cardiomyopathy (n = 51), ischemic heart disease (n = 32), dilated cardiomyopathy (n = 17), hypertrophic cardiomyopathy (n = 12), congenital cardiac disease (n = 08), left ventricle noncompaction (n = 5), and pericarditis (n = 3). The strongest univariate and multivariate predictors of SHD on CMR images were chest pain (odds ratios [OR]: 2.5 and 2.33, respectively) and sustained ventricular tachycardia (ORs: 2.62 and 2.21, respectively). Conclusion : Our study concludes that SHD was able to be identified on CMR imaging in a significant number of patients with malignant VA and completely normal echocardiography. Chest pain and sustained ventricular tachycardia were the two strongest predictors of positive CMR imaging results. Abstract Figure. Distribution of different SHD
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European Journal of Echocardiography
European Journal of Echocardiography 医学-心血管系统
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