致心律失常性心肌病的发病机制、诊断和风险分层

IF 0.5 Q4 CARDIAC & CARDIOVASCULAR SYSTEMS
Maria Teresa Florio, Filomena Boccia, E. Vetrano, M. Borrelli, T. Gossios, G. Palmiero
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引用次数: 0

摘要

致心律失常性心肌病(ACM)是一种与心源性猝死(SCD)相关的遗传性心肌疾病。它最常见的是由编码桥粒蛋白的基因突变引起的。然而,越来越多的证据表明,ACM不仅是一种桥粒病,而且似乎是一种连接细胞瘤疾病。长期以来,右心室(RV)的纤维脂肪替代一直是ACM的标志,尽管越来越多地发现双心室受累或左心室主要受累(LD-ACM),这增加了与致心律失常扩张型心肌病(a-DCM)鉴别诊断的挑战。A-DCM、ACM和LD-ACM越来越被认为是一个单一的疾病学实体,其标志是电不稳定性。我们的目的是分析致心律失常性心肌病的复杂分子机制,概述炎症和自身免疫在疾病病理生理学中的作用。其次,我们介绍了用于ACM临床诊断的临床工具。针对在这种临床环境中定义猝死风险的挑战,我们提出了可用的风险分层策略。最后,我们总结了遗传学和影像学在风险分层中的作用,指导选择合适的ICD植入患者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pathogenesis, Diagnosis and Risk Stratification in Arrhythmogenic Cardiomyopathy
Arrhythmogenic cardiomyopathy (ACM) is a genetically determined myocardial disease associated with sudden cardiac death (SCD). It is most frequently caused by mutations in genes encoding desmosomal proteins. However, there is growing evidence that ACM is not exclusively a desmosome disease but rather appears to be a disease of the connexoma. Fibroadipose replacement of the right ventricle (RV) had long been the hallmark of ACM, although biventricular involvement or predominant involvement of the left ventricle (LD-ACM) is increasingly found, raising the challenge of differential diagnosis with arrhythmogenic dilated cardiomyopathy (a-DCM). A-DCM, ACM, and LD-ACM are increasingly acknowledged as a single nosological entity, the hallmark of which is electrical instability. Our aim was to analyze the complex molecular mechanisms underlying arrhythmogenic cardiomyopathies, outlining the role of inflammation and autoimmunity in disease pathophysiology. Secondly, we present the clinical tools used in the clinical diagnosis of ACM. Focusing on the challenge of defining the risk of sudden death in this clinical setting, we present available risk stratification strategies. Lastly, we summarize the role of genetics and imaging in risk stratification, guiding through the appropriate patient selection for ICD implantation.
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来源期刊
Cardiogenetics
Cardiogenetics CARDIAC & CARDIOVASCULAR SYSTEMS-
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发文量
26
审稿时长
11 weeks
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