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通过心电图解读肥厚型心肌病

Deciphering hypertrophic cardiomyopathy with electrocardiography.

作者信息

Gossios Thomas, Savvatis Konstantinos, Zegkos Thomas, Ntelios Dimitrios, Rouskas Pavlos, Parcharidou Despoina, Karvounis Haralambos, Efthimiadis Georgios K

机构信息

Cardiology Department, NHS Foundation Trust, Guy's and St Thomas Westminster Bridge Road, London, SE1 7EH, UK.

Inherited Cardiac Conditions Unit, Barts Heart Centre, St Bartholomew's Hospital, London, UK.

出版信息

Heart Fail Rev. 2022 Jul;27(4):1313-1323. doi: 10.1007/s10741-021-10147-0. Epub 2021 Jul 21.

Abstract

The comprehensive assessment of patients with hypertrophic cardiomyopathy is a complex process, with each step concurrently focusing on confirmation of the diagnosis, differentiation between sarcomeric and non-sarcomeric disease (phenocopy), and prognostication. Novel modalities such as genetic testing and advanced imaging have allowed for substantial advancements in the understanding of this condition and facilitate patient management. However, their availability is at present not universal, and interpretation requires a high level of expertise. In this setting, electrocardiography, a fast and widely available method, still retains a significant role in everyday clinical assessment of this population. In our review, we follow a stepwise approach for the interpretation of each electrocardiographic segment, discussing clinical implications of electrocardiographic patterns in sarcomeric disease, their value in the differential diagnosis from phenocopies, and impact on patient management. Outlining the substantial amount of information to be obtained from a simple tracing, we exhibit how electrocardiography is likely to remain an integral diagnostic tool in the future as well.

摘要

肥厚型心肌病患者的综合评估是一个复杂的过程,每一步都同时关注诊断的确认、肌节性和非肌节性疾病(表型模拟)的鉴别以及预后评估。基因检测和高级成像等新方法在对这种疾病的认识上取得了重大进展,并有助于患者管理。然而,目前这些方法并非普遍可用,且解读需要高水平的专业知识。在这种情况下,心电图作为一种快速且广泛可用的方法,在对这一人群的日常临床评估中仍发挥着重要作用。在我们的综述中,我们采用逐步方法解读每个心电图节段,讨论肌节性疾病中心电图模式的临床意义、它们在与表型模拟鉴别诊断中的价值以及对患者管理的影响。通过概述从一份简单心电图中可获得的大量信息,我们展示了心电图在未来也很可能仍然是不可或缺的诊断工具。

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