Baseline and Dynamic Risk Predictors of Appropriate Implantable Cardioverter Defibrillator Therapy

Baseline and Dynamic Risk Predictors of Appropriate Implantable Cardioverter Defibrillator Therapy

Background Current approaches fail to separate patients at high versus low risk for ventricular arrhythmias owing to overreliance on a snapshot left ventricular ejection fraction measure. We used statistical machine learning to identify important cardiac imaging and time‐varying risk predictors. Met...

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Bibliographic Details
Main Authors: Katherine C. Wu, Shannon Wongvibulsin, Susumu Tao, Hiroshi Ashikaga, Michael Stillabower, Timm M. Dickfeld, Joseph E. Marine, Robert G. Weiss, Gordon F. Tomaselli, Scott L. Zeger
Format: Article
Language:English
Published: Wiley 2020-10-01
Series:Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
Subjects:
cardiac magnetic resonance imaging
heart failure
risk stratification
sudden cardiac death
ventricular arrhythmia
Online Access:https://www.ahajournals.org/doi/10.1161/JAHA.120.017002

Internet

https://www.ahajournals.org/doi/10.1161/JAHA.120.017002

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