Literature DB >> 20884379

An ECG index of myocardial scar enhances prediction of defibrillator shocks: an analysis of the Sudden Cardiac Death in Heart Failure Trial.

David G Strauss1, Jeanne E Poole, Galen S Wagner, Ronald H Selvester, Julie M Miller, Jill Anderson, George Johnson, Steven E McNulty, Daniel B Mark, Kerry L Lee, Gust H Bardy, Katherine C Wu.   

Abstract

BACKGROUND: Only a minority of patients receiving implantable cardioverter-defibrillators (ICDs) for the primary prevention of sudden death receive appropriate shocks, yet almost as many are subjected to inappropriate shocks and device complications. Identifying and quantifying myocardial scar, which forms the substrate for ventricular tachyarrhythmias, may improve risk stratification.
OBJECTIVE: This study sought to determine whether the absence of myocardial scar detected by novel 12-lead electrocardiographic (ECG) Selvester QRS scoring criteria identifies patients with low risk for appropriate ICD shocks.
METHODS: We applied QRS scoring to 797 patients from the ICD arm of the Sudden Cardiac Death in Heart Failure Trial. Patients were followed up for a median of 45.5 months for ventricular tachycardia/fibrillation treated by the ICD or sudden tachyarrhythmic death (combined group referred to as VT/VF).
RESULTS: Increasing QRS score scar size predicted higher rates of VT/VF. Patients with no scar (QRS score = 0) represented a particularly low-risk cohort with 48% fewer VT/VF events than the rest of the population (absolute difference 11%; hazard ratio 0.52, 95% confidence interval 0.31 to 0.88). QRS score scar absence versus presence remained a significant prognostic factor after controlling for 10 clinically relevant variables. Combining QRS score (scar absence versus presence) with ejection fraction (≥ 25% versus < 25%) distinguished low-, middle-, and high-risk subgroups with 73% fewer VT/VF events in the low-risk versus high-risk group (absolute difference 22%; hazard ratio = 0.27, 95% confidence interval 0.12 to 0.62).
CONCLUSION: Patients with no scar by QRS scoring have significantly fewer VT/VF events. This inexpensive 12-lead ECG tool provides unique, incremental prognostic information and should be considered in risk-stratifying algorithms for selecting patients for ICDs.
Copyright © 2011 Heart Rhythm Society. Published by Elsevier Inc. All rights reserved.

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Mesh:

Year:  2010        PMID: 20884379      PMCID: PMC3010478          DOI: 10.1016/j.hrthm.2010.09.071

Source DB:  PubMed          Journal:  Heart Rhythm        ISSN: 1547-5271            Impact factor:   6.343


  34 in total

1.  Predicting sudden death risk for heart failure patients in the implantable cardioverter-defibrillator age.

Authors:  William G Stevenson; Laurence M Epstein
Journal:  Circulation       Date:  2003-02-04       Impact factor: 29.690

2.  Infarct tissue heterogeneity assessed with contrast-enhanced MRI predicts spontaneous ventricular arrhythmia in patients with ischemic cardiomyopathy and implantable cardioverter-defibrillator.

Authors:  Stijntje D Roes; C Jan Willem Borleffs; Rob J van der Geest; Jos J M Westenberg; Nina Ajmone Marsan; Theodorus A M Kaandorp; Johan H C Reiber; Katja Zeppenfeld; Hildo J Lamb; Albert de Roos; Martin J Schalij; Jeroen J Bax
Journal:  Circ Cardiovasc Imaging       Date:  2009-03-23       Impact factor: 7.792

3.  Prophylactic implantation of a defibrillator in patients with myocardial infarction and reduced ejection fraction.

Authors:  Arthur J Moss; Wojciech Zareba; W Jackson Hall; Helmut Klein; David J Wilber; David S Cannom; James P Daubert; Steven L Higgins; Mary W Brown; Mark L Andrews
Journal:  N Engl J Med       Date:  2002-03-19       Impact factor: 91.245

4.  Validation of advanced ECG diagnostic software for the detection of prior myocardial infarction by using nuclear cardiac imaging.

Authors:  A Andresen; J Dobkin; C Maynard; R Myers; G S Wagner; R A Warner; R H Selvester
Journal:  J Electrocardiol       Date:  2001       Impact factor: 1.438

5.  Fragmented QRS on twelve-lead electrocardiogram predicts arrhythmic events in patients with ischemic and nonischemic cardiomyopathy.

Authors:  Mithilesh Kumar Das; Waddah Maskoun; Changyu Shen; Mark A Michael; Hussam Suradi; Mona Desai; Roopa Subbarao; Deepak Bhakta
Journal:  Heart Rhythm       Date:  2009-10-02       Impact factor: 6.343

6.  The QRS scoring system for estimating myocardial infarct size: clinical, angiographic and prognostic correlations.

Authors:  G S Roubin; W F Shen; D T Kelly; P J Harris
Journal:  J Am Coll Cardiol       Date:  1983-07       Impact factor: 24.094

7.  A QRS scoring system for assessing left ventricular function after myocardial infarction.

Authors:  S T Palmeri; D G Harrison; F R Cobb; K G Morris; F E Harrell; R E Ideker; R H Selvester; G S Wagner
Journal:  N Engl J Med       Date:  1982-01-07       Impact factor: 91.245

8.  Impact of implantable cardioverter-defibrillator, amiodarone, and placebo on the mode of death in stable patients with heart failure: analysis from the sudden cardiac death in heart failure trial.

Authors:  Douglas L Packer; Jordan M Prutkin; Anne S Hellkamp; L Brent Mitchell; Robert C Bernstein; Freda Wood; John P Boehmer; Mark D Carlson; Robert P Frantz; Steve E McNulty; Joseph G Rogers; Jill Anderson; George W Johnson; Mary Norine Walsh; Jeanne E Poole; Daniel B Mark; Kerry L Lee; Gust H Bardy
Journal:  Circulation       Date:  2009-11-16       Impact factor: 29.690

9.  ECG quantification of myocardial scar in cardiomyopathy patients with or without conduction defects: correlation with cardiac magnetic resonance and arrhythmogenesis.

Authors:  David G Strauss; Ronald H Selvester; João A C Lima; Håkan Arheden; Julie M Miller; Gary Gerstenblith; Eduardo Marbán; Robert G Weiss; Gordon F Tomaselli; Galen S Wagner; Katherine C Wu
Journal:  Circ Arrhythm Electrophysiol       Date:  2008-12-02

10.  Analysis of ventricular activation using surface electrocardiography to predict left ventricular reverse volumetric remodeling during cardiac resynchronization therapy.

Authors:  Michael O Sweeney; Rutger J van Bommel; Martin J Schalij; C Jan Willem Borleffs; Anne S Hellkamp; Jeroen J Bax
Journal:  Circulation       Date:  2010-01-25       Impact factor: 29.690

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  22 in total

Review 1.  The 12-lead electrocardiogram and risk of sudden death: current utility and future prospects.

Authors:  Kumar Narayanan; Sumeet S Chugh
Journal:  Europace       Date:  2015-10       Impact factor: 5.214

2.  Myocardial scar in sarcoidosis by 12-lead ECG and pathology.

Authors:  David G Strauss; Ronald H Selvester; Louis R Dibernardo
Journal:  Ann Noninvasive Electrocardiol       Date:  2011-04       Impact factor: 1.468

3.  Screening entire health system ECG databases to identify patients at increased risk of death.

Authors:  David G Strauss; Nathan Mewton; Richard L Verrier; Bruce D Nearing; Francis E Marchlinski; Tony Killian; John Moxley; Larisa G Tereshchenko; Katherine C Wu; Raimond Winslow; Christopher Cox; Peter M Spooner; João A C Lima
Journal:  Circ Arrhythm Electrophysiol       Date:  2013-10-12

4.  Low lead one ratio predicts clinical outcomes in left bundle branch block.

Authors:  Zak Loring; Brett D Atwater; Xiaojuan Xia; Jimmy Axelsson; Igor Klem; Robin Nijveldt; Erik B Schelbert; Jean-Philippe Couderc; David G Strauss; Martin Ugander; Björn Wieslander
Journal:  J Cardiovasc Electrophysiol       Date:  2019-02-19

Review 5.  The year of 2011 in electrocardiology.

Authors:  Shlomo Stern
Journal:  Ann Noninvasive Electrocardiol       Date:  2012-07       Impact factor: 1.468

Review 6.  A potential role for integrin signaling in mechanoelectrical feedback.

Authors:  Borna E Dabiri; Hyungsuk Lee; Kevin Kit Parker
Journal:  Prog Biophys Mol Biol       Date:  2012-07-20       Impact factor: 3.667

7.  Automatically computed ECG algorithm for the quantification of myocardial scar and the prediction of mortality.

Authors:  Patrick Badertscher; Ivo Strebel; Ursina Honegger; Nicolas Schaerli; Deborah Mueller; Christian Puelacher; Max Wagener; Roger Abächerli; Joan Walter; Zaid Sabti; Lorraine Sazgary; Stella Marbot; Jeanne du Fay de Lavallaz; Raphael Twerenbold; Jasper Boeddinghaus; Thomas Nestelberger; Nikola Kozhuharov; Tobias Breidthardt; Samyut Shrestha; Dayana Flores; Carmela Schumacher; Damian Wild; Stefan Osswald; Michael J Zellweger; Christian Mueller; Tobias Reichlin
Journal:  Clin Res Cardiol       Date:  2018-04-17       Impact factor: 5.460

8.  Electrocardiography scar quantification correlates with scar size of hypertrophic cardiomyopathy seen by multidetector computed tomography.

Authors:  Tiago Costa Bignoto; Dalmo Antônio Ribeiro Moreira; Ricardo Garbe Habib; Edileide de Barros Correia; Ricardo Carneiro Amarante; Tannas Jatene; Mario Barbosa Guedes Nunes; Tiago Senra; Luiz Eduardo Mastrocolla
Journal:  Clin Cardiol       Date:  2018-06-12       Impact factor: 2.882

9.  ECG quantification of myocardial scar and risk stratification in MADIT-II.

Authors:  Zak Loring; Wojciech Zareba; Scott McNitt; David G Strauss; Galen S Wagner; James P Daubert
Journal:  Ann Noninvasive Electrocardiol       Date:  2013-06-09       Impact factor: 1.468

Review 10.  Surface Electrocardiogram Predictors of Sudden Cardiac Arrest.

Authors:  Samy A Abdelghani; Todd M Rosenthal; Daniel P Morin
Journal:  Ochsner J       Date:  2016
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