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Seattle Heart Failure and Proportional Risk Models Predict Benefit From Implantable Cardioverter-Defibrillators

Bilchick, K. C. (författare)
University of Virginia Health Syst, VA USA
Wang, Y. F. (författare)
Yale New Haven Medical Centre, CT 06504 USA; Yale University, CT USA
Cheng, A. (författare)
Johns Hopkins Medical Institute, MD 21205 USA
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Curtis, J. P. (författare)
Yale New Haven Medical Centre, CT 06504 USA; Yale University, CT USA
Dharmarajan, K. (författare)
Yale New Haven Medical Centre, CT 06504 USA; Yale University, CT USA
Stukenborg, G. J. (författare)
University of Virginia, VA USA
Shadman, R. (författare)
Southern Calif Permanente Medical Grp, CA USA
Anand, I. (författare)
University of Minnesota, MN USA
Lund, L. H. (författare)
Karolinska Institutet
Dahlström, Ulf (författare)
Linköpings universitet,Avdelningen för kardiovaskulär medicin,Medicinska fakulteten,Region Östergötland, Kardiologiska kliniken US
Sartipy, U. (författare)
Karolinska Institutet
Maggioni, A. (författare)
Italian Assoc Hospital Cardiologists, Italy
Swedberg, Karl, 1944 (författare)
Gothenburg University,Göteborgs universitet,Institutionen för medicin, avdelningen för molekylär och klinisk medicin,Institute of Medicine, Department of Molecular and Clinical Medicine,University of Gothenburg, Sweden; Imperial Coll, England
O'Conner, C. (författare)
Inova Healthcare Syst, VA USA
Levy, W. C. (författare)
University of Washington, WA USA
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 (creator_code:org_t)
Elsevier BV, 2017
2017
Engelska.
Ingår i: Journal of the American College of Cardiology. - : Elsevier BV. - 0735-1097 .- 1558-3597. ; 69:21, s. 2606-2618
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • BACKGROUND Recent clinical trials highlight the need for better models to identify patients at higher risk of sudden death. OBJECTIVES The authors hypothesized that the Seattle Heart Failure Model (SHFM) for overall survival and the Seattle Proportional Risk Model (SPRM) for proportional risk of sudden death, including death from ventricular arrhythmias, would predict the survival benefit with an implantable cardioverter-defibrillator (ICD). METHODS Patients with primary prevention ICDs from the National Cardiovascular Data Registry (NCDR) were compared with control patients with heart failure (HF) without ICDs with respect to 5-year survival using multivariable Cox proportional hazards regression. RESULTS Among 98,846 patients with HF (87,914 with ICDs and 10,932 without ICDs), the SHFM was strongly associated with all-cause mortality (p < 0.0001). The ICD-SPRM interaction was significant (p < 0.0001), such that SPRM quintile 5 patients had approximately twice the reduction in mortality with the ICD versus SPRM quintile 1 patients (adjusted hazard ratios [HR]: 0.602; 95% confidence interval [CI]: 0.537 to 0.675 vs. 0.793; 95% CI: 0.736 to 0.855, respectively). Among patients with SHFM-predicted annual mortality <= 5.7%, those with a SPRM-predicted risk of sudden death below the median had no reduction in mortality with the ICD (adjusted ICD HR: 0.921; 95% CI: 0.787 to 1.08; p = 0.31), whereas those with SPRM above the median derived the greatest benefit (adjusted HR: 0.599; 95% CI: 0.530 to 0.677; p < 0.0001). CONCLUSIONS The SHFM predicted all-cause mortality in a large cohort with and without ICDs, and the SPRM discriminated and calibrated the potential ICD benefit. Together, the models identified patients less likely to derive a survival benefit from primary prevention ICDs. (J Am Coll Cardiol 2017;69:2606-18) (C) 2017 by the American College of Cardiology Foundation.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Kardiologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Cardiac and Cardiovascular Systems (hsv//eng)

Nyckelord

heart failure
implantable cardioverter-defibrillator
risk models
cardiac-resynchronization therapy
primary prevention
prophylactic
implantation
ejection fraction
survival
mortality
death
trial
metaanalysis
association
Cardiovascular System & Cardiology
heart failure; implantable cardioverter-defibrillator; risk models

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