Do baseline characteristics accurately discriminate between patients likely versus unlikely to benefit from implantable defibrillator therapy? Evaluation of the Canadian Implantable Defribillator Study implantable cardioverter defribrillatory efficacy score in the antiarrhythmics versus implantable defribrillators trial

Derek V. Exner, Robert S. Sheldon, Sergio L. Pinski, Jack Kron, Alfred Hallstrom

Research output: Contribution to journalArticle

29 Citations (Scopus)

Abstract

Objective: Our purpose was to evaluate whether baseline characteristics predictive of implantable cardioverter defibrillator (ICD) efficacy in the Canadian Implantable Defibrillator Study (CIDS) are predictive in the Antiarrhythmics Versus Implantable Defibrillators (AVID) Trial. Background: ICD therapy is superior to antiarrhythmic drug use in patients with life-threatening arrhythmias. However, identification of subgroups most likely to benefit from ICD therapy may be useful. Data from CIDS suggest that 3 characteristics (age ≥70 years, ejection fraction [EF] ≤0.35, and New York Heart Association class >11) can be combined to reliably categorize patients as likely (≥2 characteristics) versus unlikely to benefit (

Original languageEnglish (US)
Pages (from-to)99-104
Number of pages6
JournalAmerican Heart Journal
Volume141
Issue number1
DOIs
StatePublished - 2001

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Implantable Defibrillators
Therapeutics
Anti-Arrhythmia Agents
Cardiac Arrhythmias

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine

Cite this

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abstract = "Objective: Our purpose was to evaluate whether baseline characteristics predictive of implantable cardioverter defibrillator (ICD) efficacy in the Canadian Implantable Defibrillator Study (CIDS) are predictive in the Antiarrhythmics Versus Implantable Defibrillators (AVID) Trial. Background: ICD therapy is superior to antiarrhythmic drug use in patients with life-threatening arrhythmias. However, identification of subgroups most likely to benefit from ICD therapy may be useful. Data from CIDS suggest that 3 characteristics (age ≥70 years, ejection fraction [EF] ≤0.35, and New York Heart Association class >11) can be combined to reliably categorize patients as likely (≥2 characteristics) versus unlikely to benefit (",
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AU - Sheldon, Robert S.

AU - Pinski, Sergio L.

AU - Kron, Jack

AU - Hallstrom, Alfred

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