Emerging Techniques for Risk Stratification in Nonischemic Dilated Cardiomyopathy JACC Review Topic of the Week

被引：29

作者：

Marrow, Benjamin A. ^{[1
,2
]}

Cook, Stuart A. ^{[3
,4
]}

Prasad, Sanjay K. ^{[3
]}

McCann, Gerry P. ^{[1
,2
]}

机构：

[1] Univ Leicester, Dept Cardiovasc Sci, Leicester, Leics, England

[2] NIHR, Leicester Biomed Res Ctr, Glenfield Hosp, Leicester, Leics, England

[3] Imperial Coll, Natl Heart & Lung Inst, Dept Cardiovasc Med, London, England

[4] Natl Heart Ctr Singapore, Dept Cardiol, Singapore, Singapore

来源：

JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY | 2020年 / 75卷 / 10期

关键词：

biomarkers; cardiac magnetic resonance; cardiopulmonary exercise testing; dilated cardiomyopathy; genetics; nonischemic cardiomyopathy; CARDIOVASCULAR MAGNETIC-RESONANCE; CHRONIC HEART-FAILURE; LATE GADOLINIUM ENHANCEMENT; PROGNOSTIC VALUE; EXTRACELLULAR VOLUME; MYOCARDIAL FIBROSIS; AMBULATORY PATIENTS; ASSOCIATION; MUTATIONS; SOCIETY;

D O I：

10.1016/j.jacc.2019.12.058

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

Dilated cardiomyopathy (DCM) is a common condition, which carries significant mortality from sudden cardiac death and pump failure. Left ventricular ejection fraction has conventionally been used as a risk marker for sudden cardiac death, but has performed poorly in trials. There have been significant advances in the areas of cardiac magnetic resonance imaging and genetics, which are able to provide useful rick prediction in DCM. Biomarkers and cardiopulmonary exercise testing are well validated in the prediction of risk in heart failure; however, they have been tested less specifically in the DCM setting. This review will discuss these methods with a view toward multiparametric risk assessment in DCM with the hope of creating parametric risk models to predict sudden cardiac death and pump failure in the DCM population. (C) 2020 the American College of Cardiology Foundation. Published by Elsevier. All rights reserved.

引用

页码：1196 / 1207

页数：12

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