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FältnamnIndikatorerMetadata
00006210naa a2200721 4500
001oai:gup.ub.gu.se/254666
003SwePub
008240528s2017 | |||||||||||000 ||eng|
009oai:DiVA.org:liu-138236
009oai:prod.swepub.kib.ki.se:135854880
0247 a https://gup.ub.gu.se/publication/2546662 URI
0247 a https://doi.org/10.1016/j.jacc.2017.03.5682 DOI
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1382362 URI
0247 a http://kipublications.ki.se/Default.aspx?queryparsed=id:1358548802 URI
040 a (SwePub)gud (SwePub)liud (SwePub)ki
041 a eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
1001 a Bilchick, K. C.u University of Virginia Health Syst, VA USA4 aut
2451 0a Seattle Heart Failure and Proportional Risk Models Predict Benefit From Implantable Cardioverter-Defibrillators
264 1b Elsevier BV,c 2017
500 a Funding Agencies|Thoratec (St. Jude Medical); HeartWare (Medtronic); GE Healthcare; Athena Health; National Institutes of Health [R03 HL135463]; National Cardiovascular Data Registry; National Institute on Aging [K23AG048331]; American Federation for Aging Research through the Paul B. Beeson Career Development Award Program; Yale Claude D. Pepper Older Americans Independence Center [P30AG021342]; Centers for Medicare & Medicaid Services; Boston Scientific; AstraZeneca; Novartis; Servier; Amgen; Resmed
520 a 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.
650 7a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Kardiologi0 (SwePub)302062 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Cardiac and Cardiovascular Systems0 (SwePub)302062 hsv//eng
653 a heart failure
653 a implantable cardioverter-defibrillator
653 a risk models
653 a cardiac-resynchronization therapy
653 a primary prevention
653 a prophylactic
653 a implantation
653 a ejection fraction
653 a survival
653 a mortality
653 a death
653 a trial
653 a metaanalysis
653 a association
653 a Cardiovascular System & Cardiology
653 a heart failure; implantable cardioverter-defibrillator; risk models
7001 a Wang, Y. F.u Yale New Haven Medical Centre, CT 06504 USA; Yale University, CT USA4 aut
7001 a Cheng, A.u Johns Hopkins Medical Institute, MD 21205 USA4 aut
7001 a Curtis, J. P.u Yale New Haven Medical Centre, CT 06504 USA; Yale University, CT USA4 aut
7001 a Dharmarajan, K.u Yale New Haven Medical Centre, CT 06504 USA; Yale University, CT USA4 aut
7001 a Stukenborg, G. J.u University of Virginia, VA USA4 aut
7001 a Shadman, R.u Southern Calif Permanente Medical Grp, CA USA4 aut
7001 a Anand, I.u University of Minnesota, MN USA4 aut
7001 a Lund, L. H.u Karolinska Institutet4 aut
7001 a Dahlström, Ulfu Linköpings universitet,Avdelningen för kardiovaskulär medicin,Medicinska fakulteten,Region Östergötland, Kardiologiska kliniken US4 aut0 (Swepub:liu)ulfda85
7001 a Sartipy, U.u Karolinska Institutet4 aut
7001 a Maggioni, A.u Italian Assoc Hospital Cardiologists, Italy4 aut
7001 a Swedberg, Karl,d 1944u 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, England4 aut0 (Swepub:gu)xsweka
7001 a O'Conner, C.u Inova Healthcare Syst, VA USA4 aut
7001 a Levy, W. C.u University of Washington, WA USA4 aut
7102 a University of Virginia Health Syst, VA USAb Yale New Haven Medical Centre, CT 06504 USA; Yale University, CT USA4 org
7730 t Journal of the American College of Cardiologyd : Elsevier BVg 69:21, s. 2606-2618q 69:21<2606-2618x 0735-1097x 1558-3597
8564 u https://doi.org/10.1016/j.jacc.2017.03.568
8564 8u https://gup.ub.gu.se/publication/254666
8564 8u https://doi.org/10.1016/j.jacc.2017.03.568
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-138236
8564 8u http://kipublications.ki.se/Default.aspx?queryparsed=id:135854880

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