Literature DB >> 29801082

Sudden Death in Patients With Coronary Heart Disease Without Severe Systolic Dysfunction.

Neal A Chatterjee1,2, M Vinayaga Moorthy1, Julie Pester1, Andi Schaecter3, Gopi K Panicker4, Dhiraj Narula5, Daniel C Lee3, Jeffrey J Goldberger6, Alan Kadish7, Nancy R Cook1, Christine M Albert1.   

Abstract

Importance: The majority of sudden and/or arrhythmic deaths (SAD) in patients with coronary heart disease occur in those without severe systolic dysfunction, for whom strategies for sudden death prevention are lacking. Objective: To provide contemporary estimates of SAD vs other competing causes of death in patients with coronary heart disease without severe systolic dysfunction to search for high-risk subgroups that might be targeted in future trials of SAD prevention. Design, Setting, and Participants: This prospective observational cohort study included 135 clinical sites in the United States and Canada. A total of 5761 participants with coronary heart disease who did not qualify for primary prevention implantable cardioverter defibrillator therapy based on left ventricular ejection fraction (LVEF) of more than 35% or New York Heart Association (NYHA) heart failure class (LVEF >30%, NYHA I). Exposures: Clinical risk factors measured at baseline including age, LVEF, and NYHA heart failure class. Main Outcomes and Measures: Primary outcome of SAD, which is a composite of SAD and resuscitated ventricular fibrillation arrest.
Results: The mean (SD) age of the cohort was 64 (11) years. During a median of 3.9 years, the cumulative incidence of SAD and non-SAD was 2.1% and 7.7%, respectively. Sudden and/or arrhythmic death was the most common mode of cardiovascular death accounting for 114 of 202 cardiac deaths (56%), although noncardiac death was the primary mode of death in this population. The 4-year cumulative incidence of SAD was lowest in those with an LVEF of more than 60% (1.0%) and highest among those with LVEF of 30% to 40% (4.9%) and class III/IV heart failure (5.1%); however, the cumulative incidence of non-SAD was similarly elevated in these latter high-risk subgroups. Patients with a moderately reduced LVEF (40%-49%) were more likely to die of SAD, whereas those with class II heart failure and advancing age were more likely to die of non-SAD. The proportion of deaths due to SAD varied widely, from 14% (18 of 131 deaths) in patients with NYHA II to 49% (37 of 76 deaths) in those younger than 60 years. Conclusions and Relevance: In a contemporary population of patients with coronary heart disease without severe systolic dysfunction, SAD accounts for a significant proportion of overall mortality. Moderately reduced LVEF, age, and NYHA class distinguished SAD and non-SAD, whereas other markers were equally associated with both modes of death. Absolute and proportional risk of SAD varied significantly across clinical subgroups, and both will need to be maximized in future risk stratification efforts.

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Mesh:

Year:  2018        PMID: 29801082      PMCID: PMC6145665          DOI: 10.1001/jamacardio.2018.1049

Source DB:  PubMed          Journal:  JAMA Cardiol            Impact factor:   14.676


  26 in total

1.  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

2.  Applying Cox regression to competing risks.

Authors:  M Lunn; D McNeil
Journal:  Biometrics       Date:  1995-06       Impact factor: 2.571

3.  Out-of-hospital cardiac arrest survival improving over time: Results from the Resuscitation Outcomes Consortium (ROC).

Authors:  Mohamud R Daya; Robert H Schmicker; Dana M Zive; Thomas D Rea; Graham Nichol; Jason E Buick; Steven Brooks; Jim Christenson; Renee MacPhee; Alan Craig; Jon C Rittenberger; Daniel P Davis; Susanne May; Jane Wigginton; Henry Wang
Journal:  Resuscitation       Date:  2015-02-09       Impact factor: 5.262

4.  Defibrillator Implantation in Patients with Nonischemic Systolic Heart Failure.

Authors:  Lars Køber; Jens J Thune; Jens C Nielsen; Jens Haarbo; Lars Videbæk; Eva Korup; Gunnar Jensen; Per Hildebrandt; Flemming H Steffensen; Niels E Bruun; Hans Eiskjær; Axel Brandes; Anna M Thøgersen; Finn Gustafsson; Kenneth Egstrup; Regitze Videbæk; Christian Hassager; Jesper H Svendsen; Dan E Høfsten; Christian Torp-Pedersen; Steen Pehrson
Journal:  N Engl J Med       Date:  2016-08-27       Impact factor: 91.245

5.  Rationale and design for the Defibrillators to Reduce Risk by Magnetic Resonance Imaging Evaluation (DETERMINE) trial.

Authors:  Alan H Kadish; David Bello; J Paul Finn; Robert O Bonow; Andi Schaechter; Haris Subacius; Christine Albert; James P Daubert; Carissa G Fonseca; Jeffrey J Goldberger
Journal:  J Cardiovasc Electrophysiol       Date:  2009-07-01

6.  Predicting sudden death in the population: the Paris Prospective Study I.

Authors:  X Jouven; M Desnos; C Guerot; P Ducimetière
Journal:  Circulation       Date:  1999-04-20       Impact factor: 29.690

7.  Population-based analysis of sudden cardiac death with and without left ventricular systolic dysfunction: two-year findings from the Oregon Sudden Unexpected Death Study.

Authors:  Eric C Stecker; Catherine Vickers; Justin Waltz; Carmen Socoteanu; Benjamin T John; Ronald Mariani; John H McAnulty; Karen Gunson; Jonathan Jui; Sumeet S Chugh
Journal:  J Am Coll Cardiol       Date:  2006-02-23       Impact factor: 24.094

8.  Development and Validation of a Sudden Cardiac Death Prediction Model for the General Population.

Authors:  Rajat Deo; Faye L Norby; Ronit Katz; Nona Sotoodehnia; Selcuk Adabag; Christopher R DeFilippi; Bryan Kestenbaum; Lin Y Chen; Susan R Heckbert; Aaron R Folsom; Richard A Kronmal; Suma Konety; Kristen K Patton; David Siscovick; Michael G Shlipak; Alvaro Alonso
Journal:  Circulation       Date:  2016-08-19       Impact factor: 29.690

9.  Current burden of sudden cardiac death: multiple source surveillance versus retrospective death certificate-based review in a large U.S. community.

Authors:  Sumeet S Chugh; Jonathan Jui; Karen Gunson; Eric C Stecker; Benjamin T John; Barbara Thompson; Nasreen Ilias; Catherine Vickers; Vivek Dogra; Mohamud Daya; Jack Kron; Zhi-Jie Zheng; George Mensah; John McAnulty
Journal:  J Am Coll Cardiol       Date:  2004-09-15       Impact factor: 24.094

10.  Mortality of Myocardial Infarction by Sex, Age, and Obstructive Coronary Artery Disease Status in the ACTION Registry-GWTG (Acute Coronary Treatment and Intervention Outcomes Network Registry-Get With the Guidelines).

Authors:  Nathaniel R Smilowitz; Asha M Mahajan; Matthew T Roe; Anne S Hellkamp; Karen Chiswell; Martha Gulati; Harmony R Reynolds
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2017-12
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  14 in total

1.  Error in Results and Figures 1, 2, and 3.

Authors: 
Journal:  JAMA Cardiol       Date:  2018-09-01       Impact factor: 14.676

2.  Simple electrocardiographic measures improve sudden arrhythmic death prediction in coronary disease.

Authors:  Neal A Chatterjee; Jani T Tikkanen; Gopi K Panicker; Dhiraj Narula; Daniel C Lee; Tuomas Kentta; Juhani M Junttila; Nancy R Cook; Alan Kadish; Jeffrey J Goldberger; Heikki V Huikuri; Christine M Albert
Journal:  Eur Heart J       Date:  2020-06-01       Impact factor: 29.983

3.  Sudden Arrhythmic Death: What Is the Gold Standard?

Authors:  Neal A Chatterjee; Christine M Albert
Journal:  Circ Arrhythm Electrophysiol       Date:  2019-06-28

4.  Refining the World Health Organization Definition: Predicting Autopsy-Defined Sudden Arrhythmic Deaths Among Presumed Sudden Cardiac Deaths in the POST SCD Study.

Authors:  Zian H Tseng; James W Salazar; Jeffrey E Olgin; Philip C Ursell; Anthony S Kim; Annie Bedigian; Joanne Probert; Amy P Hart; Ellen Moffatt; Eric Vittinghoff
Journal:  Circ Arrhythm Electrophysiol       Date:  2019-06-28

5.  Arrhythmic sudden death survival prediction using deep learning analysis of scarring in the heart.

Authors:  Dan M Popescu; Julie K Shade; Changxin Lai; Konstantinos N Aronis; David Ouyang; M Vinayaga Moorthy; Nancy R Cook; Daniel C Lee; Alan Kadish; Christine M Albert; Katherine C Wu; Mauro Maggioni; Natalia A Trayanova
Journal:  Nat Cardiovasc Res       Date:  2022-04-07

6.  Targeting sudden death in heart failure with preserved ejection fraction: promise or pipedream?

Authors:  Ravi B Patel; Muthiah Vaduganathan
Journal:  Expert Rev Cardiovasc Ther       Date:  2018-10-29

7.  Circulating miRNAs and Risk of Sudden Death in Patients With Coronary Heart Disease.

Authors:  Michael G Silverman; Ashish Yeri; M Vinayaga Moorthy; Fernando Camacho Garcia; Neal A Chatterjee; Charlotte S A Glinge; Jacob Tfelt-Hansen; Ane M Salvador; Alexander R Pico; Ravi Shah; Christine M Albert; Saumya Das
Journal:  JACC Clin Electrophysiol       Date:  2019-10-30

8.  Factors Predisposing to Survival After Resuscitation for Sudden Cardiac Arrest.

Authors:  Santo Ricceri; James W Salazar; Andrew A Vu; Eric Vittinghoff; Ellen Moffatt; Zian H Tseng
Journal:  J Am Coll Cardiol       Date:  2021-05-18       Impact factor: 24.094

Review 9.  Sudden Cardiac Death in Patients with Heart Disease and Preserved Systolic Function: Current Options for Risk Stratification.

Authors:  Luigi Pannone; Giulio Falasconi; Lorenzo Cianfanelli; Luca Baldetti; Francesco Moroni; Roberto Spoladore; Pasquale Vergara
Journal:  J Clin Med       Date:  2021-04-22       Impact factor: 4.241

10.  Diabetes and Risk of Sudden Death in Coronary Artery Disease Patients Without Severe Systolic Dysfunction.

Authors:  Ramkumar V Venkateswaran; M V Moorthy; Neal A Chatterjee; Julie Pester; Alan H Kadish; Daniel C Lee; Nancy R Cook; Christine M Albert
Journal:  JACC Clin Electrophysiol       Date:  2021-07-28
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