Literature DB >> 21265961

Left ventricular ejection fraction for the risk stratification of sudden cardiac death: friend or foe?

P Santangeli1, A Dello Russo, M Casella, G Pelargonio, L Di Biase, A Natale.   

Abstract

More than 450000 Americans die suddenly each year from sustained ventricular tachycardia or fibrillation. A correct identification of these patients is crucial for a rational clinical management, because the demonstrated effectiveness of implantable cardioverter-defibrillators (ICD) on the reduction of sudden cardiac death. Basing on the results of multiple clinical trials, left ventricular systolic function, measured as ejection fraction, is currently the only recommended tool to identify patients at higher risk of sudden death that would benefit from a prophylactic ICD. However, the systematic implementation of prophylactic ICD recommendations results in a substantial number of inappropriate ICD implantations, while failing to prevent the majority of sudden deaths occurring in the general population. That has been the case implementing arrhythmic risk stratification with a rough arrhythmic risk marker, such as ejection fraction, that lacks sensitivity and specificity in the prediction of sudden cardiac death. The aim of this viewpoint is to critically revise the value of ejection fraction in the identification of patients at risk of sudden cardiac death.
© 2011 The Authors. Internal Medicine Journal © 2011 Royal Australasian College of Physicians.

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Year:  2011        PMID: 21265961     DOI: 10.1111/j.1445-5994.2010.02371.x

Source DB:  PubMed          Journal:  Intern Med J        ISSN: 1444-0903            Impact factor:   2.048


  5 in total

1.  Image-based left ventricular shape analysis for sudden cardiac death risk stratification.

Authors:  Fijoy Vadakkumpadan; Natalia Trayanova; Katherine C Wu
Journal:  Heart Rhythm       Date:  2014-05-20       Impact factor: 6.343

2.  Left atrial volume and function measured by cardiac magnetic resonance imaging as predictors of shocks and mortality in patients with implantable cardioverter-defibrillators.

Authors:  Inna Y Gong; Payam Yazdan-Ashoori; Laura Jimenez-Juan; Nigel S Tan; Paul Angaran; Binita Riya Chacko; Saif Al-Mousawy; Sheldon M Singh; Tamar Shalmon; Luciano Folador; Iqwal Mangat; Djeven P Deva; Andrew T Yan
Journal:  Int J Cardiovasc Imaging       Date:  2021-03-01       Impact factor: 2.357

3.  In-hospital heart rate turbulence and microvolt T-wave alternans abnormalities for prediction of early life-threatening ventricular arrhythmia after acute myocardial infarction.

Authors:  Mohamed Moussa Arisha; Nicolas Girerd; Samuel Chauveau; Didier Bresson; Alina Scridon; Eric Bonnefoy; Philippe Chevalier
Journal:  Ann Noninvasive Electrocardiol       Date:  2013-10-23       Impact factor: 1.468

4.  Prognostic value of cardiovascular magnetic resonance left ventricular volumetry and geometry in patients receiving an implantable cardioverter defibrillator.

Authors:  Camila M Urzua Fresno; Luciano Folador; Tamar Shalmon; Faisal Mhd Dib Hamad; Sheldon M Singh; Gauri R Karur; Nigel S Tan; Iqwal Mangat; Anish Kirpalani; Binita Riya Chacko; Laura Jimenez-Juan; Andrew T Yan; Djeven P Deva
Journal:  J Cardiovasc Magn Reson       Date:  2021-06-10       Impact factor: 5.364

5.  Multi-modality machine learning approach for risk stratification in heart failure with left ventricular ejection fraction ≤ 45.

Authors:  Gary Tse; Jiandong Zhou; Samuel Won Dong Woo; Ching Ho Ko; Rachel Wing Chuen Lai; Tong Liu; Yingzhi Liu; Keith Sai Kit Leung; Andrew Li; Sharen Lee; Ka Hou Christien Li; Ishan Lakhani; Qingpeng Zhang
Journal:  ESC Heart Fail       Date:  2020-10-23
  5 in total

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