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Association Between Comorbidities and Outcomes in Heart Failure Patients With and Without an Implantable Cardioverter-Defibrillator for Primary Prevention.

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Date
2015-08-06
Authors
Khazanie, Prateeti
Hellkamp, Anne S
Fonarow, Gregg C
Bhatt, Deepak L
Masoudi, Frederick A
Anstrom, Kevin J
Heidenreich, Paul A
Yancy, Clyde W
Curtis, Lesley H
Hernandez, Adrian F
Peterson, Eric D
Al-Khatib, Sana M
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(12 total)
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Abstract
BACKGROUND: Implantable cardioverter-defibrillator (ICD) therapy is associated with improved outcomes in patients with heart failure (HF), but whether this association holds among older patients with multiple comorbid illnesses and worse HF burden remains unclear. METHODS AND RESULTS: Using the National Cardiovascular Data Registry's ICD Registry and the Get With The Guidelines-Heart Failure (GWTG-HF) registry linked with Medicare claims, we examined outcomes associated with primary-prevention ICD versus no ICD among HF patients aged ≥65 years in clinical practice. We included patients with an ejection fraction ≤35% who received (ICD Registry) and who did not receive (GWTG-HF) an ICD. Compared with patients with an ICD, patients in the non-ICD group were older and more likely to be female and white. In matched cohorts, the 3-year adjusted mortality rate was lower in the ICD group versus the non-ICD group (46.7% versus 55.8%; adjusted hazard ratio [HR] 0.76; 95% CI 0.69 to 0.83). There was no associated difference in all-cause readmission (HR 0.99; 95% CI 0.92 to 1.08) but a lower risk of HF readmission (HR 0.88; 95% CI 0.80 to 0.97). When compared with no ICD, ICDs were also associated with better survival in patients with ≤3 comorbidities (HR 0.77; 95% CI 0.69 to 0.87) and >3 comorbidities (HR 0.77; 95% CI 0.64 to 0.93) and in patients with no hospitalization for HF (HR 0.75; 95% CI 0.65 to 0.86) and at least 1 prior HF hospitalization (HR 0.69; 95% CI 0.58 to 0.82). In subgroup analyses, there were no interactions between ICD and mortality risk for comorbidity burden (P=0.95) and for prior HF hospitalization (P=0.46). CONCLUSION: Among older HF patients, ICDs for primary prevention were associated with lower risk of mortality even among those with high comorbid illness burden and prior HF hospitalization.
Type
Journal article
Subject
aging
defibrillation
heart failure
morbidity
mortality
Age Factors
Aged
Aged, 80 and over
Chi-Square Distribution
Comorbidity
Death, Sudden, Cardiac
Defibrillators, Implantable
Electric Countershock
Female
Heart Failure
Humans
Kaplan-Meier Estimate
Logistic Models
Male
Medicare
Multivariate Analysis
Patient Readmission
Primary Prevention
Propensity Score
Proportional Hazards Models
Protective Factors
Recovery of Function
Registries
Retrospective Studies
Risk Assessment
Risk Factors
Stroke Volume
Time Factors
Treatment Outcome
United States
Permalink
https://hdl.handle.net/10161/15001
Published Version (Please cite this version)
10.1161/JAHA.115.002061
Publication Info
Khazanie, Prateeti; Hellkamp, Anne S; Fonarow, Gregg C; Bhatt, Deepak L; Masoudi, Frederick A; Anstrom, Kevin J; ... Al-Khatib, Sana M (2015). Association Between Comorbidities and Outcomes in Heart Failure Patients With and Without an Implantable Cardioverter-Defibrillator for Primary Prevention. J Am Heart Assoc, 4(8). pp. e002061. 10.1161/JAHA.115.002061. Retrieved from https://hdl.handle.net/10161/15001.
This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.
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Scholars@Duke

Al-Khatib

Sana Mustapha Al-Khatib

Professor of Medicine
Dr. Sana M. Al-Khatib is a tenured Professor of Medicine at Duke University Medical Center, a board-certified clinical electrophysiologist and an experienced clinical researcher in cardiac arrhythmias.  She is currently the Director of the Fellowship Program at the Duke Clinical Research Institute.  As a graduate of the NIH-funded Clinical Research Training Program, she is one of a few electrophysiologists nationwide with expertise in quantitative research methods.
Anstrom

Kevin J. Anstrom

Adjunct Professor in the Department of Biostatistics & Bioinformatics
My research interests include clinical trial design, causal inference, coordinating centers, data monitoring, and pragmatic clinical research.
Curtis

Lesley H. Curtis

Professor in Population Health Sciences
Lesley H. Curtis is Professor and Chair of the Department of Population Health Sciences in the Duke School of Medicine.  A health services researcher by training, Dr. Curtis is an expert in the use of Medicare claims data for health services and clinical outcomes research, and a leader in national data quality efforts. Dr. Curtis serves as co-PI of the FDA’s Sentinel Innovation Center, Co-Investigator of the Data Core for the FDA’s Sentinel Initiative to monitor the safety of
Hernandez

Adrian Felipe Hernandez

Duke Health Cardiology Professor
Peterson

Eric David Peterson

Fred Cobb, M.D. Distinguished Professor of Medicine
Dr Peterson is the Fred Cobb Distinguished Professor of Medicine in the Division of Cardiology, a DukeMed Scholar, and the Past Executive Director of the Duke Clinical Research Institute (DCRI), Durham, NC, USA. Dr Peterson is the Principal Investigator of the National Institute of Health, Lung and Blood Institute (NHLBI) Spironolactone Initiation Registry Randomized Interventional Trial in Heart Failure With Preserved Ejection Fraction (SPIRRIT) Trial  He is also the Principal I
This author no longer has a Scholars@Duke profile, so the information shown here reflects their Duke status at the time this item was deposited.
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