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Emerging Techniques for Risk Stratification in Nonischemic Dilated Cardiomyopathy
Journal of the American College of Cardiology ( IF 21.7 ) Pub Date : 2020-03-01 , DOI: 10.1016/j.jacc.2019.12.058
Benjamin A. Marrow , Stuart A. Cook , Sanjay K. Prasad , Gerry P. McCann

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.

中文翻译:

非缺血性扩张型心肌病风险分层的新兴技术

扩张型心肌病 (DCM) 是一种常见疾病,会因心源性猝死和泵衰竭而导致显着死亡率。左心室射血分数通常被用作心脏性猝死的风险标志物,但在试验中表现不佳。心脏磁共振成像和遗传学领域取得了重大进展,能够在 DCM 中提供有用的 rick 预测。生物标志物和心肺运动测试在预测心力衰竭风险方面得到了很好的验证;但是,它们在 DCM 设置中的测试较少。本综述将讨论这些方法,着眼于 DCM 中的多参数风险评估,希望创建参数风险模型来预测 DCM 人群中的心源性猝死和泵衰竭。
更新日期:2020-03-01
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