Sudden cardiac death after myocardial infarction: individual participant data from pooled cohorts

. 2024 Nov 14 ; 45 (43) : 4616-4626.

Jazyk angličtina Země Velká Británie, Anglie Médium print

Typ dokumentu časopisecké články, metaanalýza

Perzistentní odkaz   https://www.medvik.cz/link/pmid39378245

Grantová podpora
R01 HL165840 NHLBI NIH HHS - United States
No. 847999 European Union's Horizon 2020

BACKGROUND AND AIMS: Risk stratification of sudden cardiac death after myocardial infarction and prevention by defibrillator rely on left ventricular ejection fraction (LVEF). Improved risk stratification across the whole LVEF range is required for decision-making on defibrillator implantation. METHODS: The analysis pooled 20 data sets with 140 204 post-myocardial infarction patients containing information on demographics, medical history, clinical characteristics, biomarkers, electrocardiography, echocardiography, and cardiac magnetic resonance imaging. Separate analyses were performed in patients (i) carrying a primary prevention cardioverter-defibrillator with LVEF ≤ 35% [implantable cardioverter-defibrillator (ICD) patients], (ii) without cardioverter-defibrillator with LVEF ≤ 35% (non-ICD patients ≤ 35%), and (iii) without cardioverter-defibrillator with LVEF > 35% (non-ICD patients >35%). Primary outcome was sudden cardiac death or, in defibrillator carriers, appropriate defibrillator therapy. Using a competing risk framework and systematic internal-external cross-validation, a model using LVEF only, a multivariable flexible parametric survival model, and a multivariable random forest survival model were developed and externally validated. Predictive performance was assessed by random effect meta-analysis. RESULTS: There were 1326 primary outcomes in 7543 ICD patients, 1193 in 25 058 non-ICD patients ≤35%, and 1567 in 107 603 non-ICD patients >35% during mean follow-up of 30.0, 46.5, and 57.6 months, respectively. In these three subgroups, LVEF poorly predicted sudden cardiac death (c-statistics between 0.50 and 0.56). Considering additional parameters did not improve calibration and discrimination, and model generalizability was poor. CONCLUSIONS: More accurate risk stratification for sudden cardiac death and identification of low-risk individuals with severely reduced LVEF or of high-risk individuals with preserved LVEF was not feasible, neither using LVEF nor using other predictors.

Albert Einstein College of Medicine Bronx NY

Arrhythmia and Robotic Electrophysiology Unit La Paz University Hospital Madrid Spain

Aston Medical School Aston University Aston Triangle Birmingham UK

Barmer Germany

Boston Scientific Corporation St Paul MN USA

Brigham and Women's Hospital Harvard Medical School Boston MA USA

Cardiology Heart Rhythm Management Department Clinique Pasteur Toulouse France

Cardiology University Hospitals Leuven Leuven Belgium

Center for Cardiac Arrhythmias of Genetic Origin IRCCS Istituto Auxologico Italiano Milan Italy

Centre for Health Economics University of York York UK

Clinical Epidemiology and Biostatistics The AMC Amsterdam The Netherlands

Département de Cardiologie CHRU de Nancy Nancy France

Department of Cardiology Aarhus University Hospital Aarhus Denmark

Department of Cardiology Amsterdam UMC location University of Amsterdam Amsterdam The Netherlands

Department of Cardiology and Pneumology Heart Center University Medical Center Goettingen Göttingen Germany

Department of Cardiology Angiology and Intensive Care Medicine Deutsches Herzzentrum der Charité Campus Charité Mitte Charitéplatz 1 10117 Berlin Germany

Department of Cardiology Department of Cardiology Odense Odense University Hospital Syddanmark Denmark

Department of Cardiology Karolinska University Hospital Stockholm Sweden

Department of Cardiology Rambam Health Care Campus Haifa Israel

Department of Cardiology Smidt Heart Institute Cedars Sinai Medical Center Los Angeles CA USA

Department of Cardiology The Heart Centre Copenhagen University Hospital Rigshospitalet Copenhagen Denmark

Department of Cardiology University Hospital Basel University Basel Basel Switzerland

Department of Cardiovascular Imaging Centro Cardiologico Monzino IRCCS Milan Italy

Department of Cardiovascular Sciences University of Leuven Leuven Belgium

Department of Clinical and Experimental Cardiology Amsterdam University Medical Center AMC University of Amsterdam Amsterdam Netherlands

Department of Clinical Medicine Aarhus University Aarhus Denmark

Department of Electrophysiology Heart Center Leipzig Strumpellstr 39 04289 Leipzig Germany

Department of General Practice and Elderly Care Medicine Vrije Universiteit Amsterdam Amsterdam The Netherlands

Department of Information Engineering University of Padova Padova Italy

Department of Internal Medicine 1 Cardiology Olomouc University Hospital Moravia Czech Republic

Department of Medical Statistics University Medical Center Göttingen Göttingen Germany

Department of Physiology and Pharmacology Karolinska Institutet Stockholm Sweden

Department of Radiology Leiden University Medical Center Leiden The Netherlands

Division of Cardiology European Georges Pompidou Hospital Paris France

Division of Cardiology Johns Hopkins University School of Medicine Baltimore MD USA

Division of Cardiovascular Sciences School of Medical Sciences Faculty of Biology Medicine and Health University of Manchester Manchester Academic Health Science Centre Manchester UK

Division of Informatics Imaging and Data Science Faculty of Biology Medicine and Health University of Manchester Manchester UK

Division of Medical Sciences in Zabrze Department of Cardiology Congenital Heart Diseases and Electrotherapy Silesian Center of Heart Diseases The Medical University of Silesia Katowice Poland

Heart Center Leipzig at the University of Leipzig Leipzig Germany

Hospital Clinic University of Barcelona Catalonia Spain

Institute of Biostatistics and Analyses Faculty of Medicine Masaryk University Brno Czech Republic

Institute of Clinical and Experimental Medicine University Hospital Olomouc Moravia Czech Republic

Klinikum rechts der Isar Technische Universität München Munich Germany

Leeds Institute of Cardiovascular and Metabolic Medicine University of Leeds Leeds UK

Medical and Surgical Department of Cardiology Georges Pompidou European Hospital Paris France

Research Unit of Internal Medicine Medical Research Center Oulu University of Oulu and Oulu University Hospital Oulu Finland

School of Medicine Northwestern University Feinberg Chicago USA

Service de Cardiologie et Maladies Vasculaires CHU Pontchaillou Rennes France

Spectra Analytics London UK

The Healthcare Improvement Studies Institute Department of Public Health and Primary Care University of Cambridge Cambridge UK

University of Rochester Medical Center Clinical Cardiovascular Research Center Rochester NY USA

Komentář v

doi: 10.1093/eurheartj/ehae272 PubMed

Zobrazit více v PubMed

Wellens HJJ, Schwartz PJ, Lindemans FW, Buxton AE, Goldberger JJ, Hohnloser SH, et al. . Risk stratification for sudden cardiac death: current status and challenges for the future. Eur Heart J 2014;35:1642–51. 10.1093/eurheartj/ehu176 PubMed DOI PMC

Gorgels APM, Gijsbers C, de Vreede-Swagemakers J, Lousberg A, Wellens HJJ. Out-of-hospital cardiac arrest–the relevance of heart failure. The Maastricht Circulatory Arrest Registry. Eur Heart J 2003;24:1204–9. 10.1016/S0195-668X(03)00191-X PubMed DOI

Myerburg RJ, Junttila MJ. Sudden cardiac death caused by coronary heart disease. Circulation 2012;125:1043–52. 10.1161/CIRCULATIONAHA.111.023846 PubMed DOI

Moss AJ, Zareba W, Hall WJ, Klein H, Wilber DJ, Cannom DS, et al. . Prophylactic implantation of a defibrillator in patients with myocardial infarction and reduced ejection fraction. N Engl J Med 2002;346:877–83. 10.1056/NEJMoa013474 PubMed DOI

Bardy GH, Lee KL, Mark DB, Poole JE, Packer DL, Boineau R, et al. . Amiodarone or an implantable cardioverter-defibrillator for congestive heart failure. N Engl J Med 2005;352:225–37. 10.1056/NEJMoa043399 PubMed DOI

Younis A, Goldberger JJ, Kutyifa V, Zareba W, Polonsky B, Klein H, et al. . Predicted benefit of an implantable cardioverter-defibrillator: the MADIT-ICD benefit score. Eur Heart J 2021;42:1676–84. 10.1093/eurheartj/ehaa1057 PubMed DOI PMC

Zeppenfeld K, Tfelt-Hansen J, de Riva M, Winkel BG, Behr ER, Blom NA, et al. . 2022 ESC guidelines for the management of patients with ventricular arrhythmias and the prevention of sudden cardiac death. Eur Heart J 2022;43:3997–4126. 10.1093/eurheartj/ehac262 PubMed DOI

McDonagh TA, Metra M, Adamo M, Gardner RS, Baumbach A, Böhm M, et al. . 2021 ESC guidelines for the diagnosis and treatment of acute and chronic heart failure: developed by the task force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC) with the special contribution of the Heart Failure Association (HFA) of the ESC. Eur Heart J 2021;42:3599–726. 10.1093/eurheartj/ehab368 PubMed DOI

Dagres N, Hindricks G. Risk stratification after myocardial infarction: is left ventricular ejection fraction enough to prevent sudden cardiac death? Eur Heart J 2013;34:1964–71. 10.1093/eurheartj/eht109 PubMed DOI

Shen L, Jhund PS, Petrie MC, Claggett BL, Barlera S, Cleland JGF, et al. . Declining risk of sudden death in heart failure. N Engl J Med 2017;377:41–51. 10.1056/NEJMoa1609758 PubMed DOI

Sabbag A, Suleiman M, Laish-Farkash A, Samania N, Kazatsker M, Goldenberg I, et al. . Contemporary rates of appropriate shock therapy in patients who receive implantable device therapy in a real-world setting: from the Israeli ICD registry. Heart Rhythm 2015;12:2426–33. 10.1016/j.hrthm.2015.08.020 PubMed DOI

Collins GS, Reitsma JB, Altman DG, Moons KGM. Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement. Eur Urol 2015;67:1142–51. 10.1016/j.eururo.2014.11.025 PubMed DOI

Hinkle LEJ, Thaler HT. Clinical classification of cardiac deaths. Circulation 1982;65:457–64. 10.1161/01.CIR.65.3.457 PubMed DOI

Fine JP, Gray RJ. A proportional hazards model for the subdistribution of a competing risk. J Am Stat Assoc 1999;94:496–509. 10.1080/01621459.1999.10474144 DOI

Li D, Deogun J, Spaulding W, Shuart B.. A study of fuzzy K-means clustering method. In: Tsumoto S, Słowiński R, Komorowski J, Grzymała-Busse JW, (eds.), Rough Sets and Current Trends in Computing (RSCTC 2004). Lecture Notes in Computer Science, Vol. 3066. Berlin, Heidelberg: Springer; 2004. 10.1007/978-3-540-25929-9. DOI

Takada T, Nijman S, Denaxas S, Snell KIE, Uijl A, Nguyen T-L, et al. . Internal-external cross-validation helped to evaluate the generalizability of prediction models in large clustered datasets. J Clin Epidemiol 2021;137:83–91. 10.1016/j.jclinepi.2021.03.025 PubMed DOI

Steyerberg EW, Harrell FE. Prediction models need appropriate internal, internal-external, and external validation. J Clin Epidemiol 2016;69:245–7. 10.1016/j.jclinepi.2015.04.005 PubMed DOI PMC

Snell KIE, Ensor J, Debray TPA, Moons KGM, Riley RD. Meta-analysis of prediction model performance across multiple studies: which scale helps ensure between-study normality for the C-statistic and calibration measures? Stat Methods Med Res 2018;27:3505–22. 10.1177/0962280217705678 PubMed DOI PMC

Nelson CP, Lambert PC, Squire IB, Jones DR. Flexible parametric models for relative survival, with application in coronary heart disease. Stat Med 2007;26:5486–98. 10.1002/sim.3064 PubMed DOI

Mozumder SI, Rutherford MJ, Lambert PC. Stpm2cr: a flexible parametric competing risks model using a direct likelihood approach for the cause-specific cumulative incidence function. Stata J 2017;17:462–89. 10.1177/1536867X1701700212 PubMed DOI PMC

Ishwaran H, Kogalur UB, Blackstone EH, Lauer MS. Random survival forests. Ann Appl Stat 2008;2:841–60. 10.1214/08-AOAS169 DOI

Schulz-Menger J, Bluemke DA, Bremerich J, Flamm SD, Fogel MA, Friedrich MG, et al. . Standardized image interpretation and post-processing in cardiovascular magnetic resonance—2020 update: Society for Cardiovascular Magnetic Resonance (SCMR): Board of Trustees Task Force on Standardized Post-Processing. J Cardiovasc Magn Reson 2020;22:19. 10.1186/s12968-020-00610-6 PubMed DOI PMC

R Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, 2022. https://www.R-project.org.

Barsheshet A, Moss AJ, Huang DT, McNitt S, Zareba W, Goldenberg I. Applicability of a risk score for prediction of the long-term (8-year) benefit of the implantable cardioverter-defibrillator. J Am Coll Cardiol 2012;59:2075–9. 10.1016/j.jacc.2012.02.036 PubMed DOI

Docherty KF, Ferreira JP, Sharma A, Girerd N, Gregson J, Duarte K, et al. . Predictors of sudden cardiac death in high-risk patients following a myocardial infarction. Eur J Heart Fail 2020;22:848–55. 10.1002/ejhf.1694 PubMed DOI

Zegard A, Okafor O, de Bono J, Kalla M, Lencioni M, Marshall H, et al. . Myocardial fibrosis as a predictor of sudden death in patients with coronary artery disease. J Am Coll Cardiol 2021;77:29–41. 10.1016/j.jacc.2020.10.046 PubMed DOI

Chernomordik F, Jons C, Klein HU, Kutyifa V, Nof E, Zareba W, et al. . Death with an implantable cardioverter-defibrillator: a MADIT-II substudy. Europace 2019;21:1843–50. 10.1093/europace/euz263 PubMed DOI

Gatzoulis KA, Tsiachris D, Arsenos P, Antoniou C-K, Dilaveris P, Sideris S, et al. . Arrhythmic risk stratification in post-myocardial infarction patients with preserved ejection fraction: the PRESERVE EF study. Eur Heart J 2019;40:2940–9. 10.1093/eurheartj/ehz260 PubMed DOI PMC

Ashar FN, Mitchell RN, Albert CM, Newton-Cheh C, Brody JA, Müller-Nurasyid M, et al. . A comprehensive evaluation of the genetic architecture of sudden cardiac arrest. Eur Heart J 2018;39:3961–9. 10.1093/eurheartj/ehy474 PubMed DOI PMC

Sandhu RK, Dron JS, Liu Y, Moorthy MV, Chatterjee NA, Ellinor PT, et al. . Polygenic risk score predicts sudden death in patients with coronary disease and preserved systolic function. J Am Coll Cardiol 2022;80:873–83. 10.1016/j.jacc.2022.05.049 PubMed DOI PMC

Rohde LE, Chatterjee NA, Vaduganathan M, Claggett B, Packer M, Desai AS, et al. . Sacubitril/valsartan and sudden cardiac death according to implantable cardioverter-defibrillator use and heart failure cause: a PARADIGM-HF analysis. JACC Heart Fail 2020;8:844–55. 10.1016/j.jchf.2020.06.015 PubMed DOI

Curtain JP, Docherty KF, Jhund PS, Petrie MC, Inzucchi SE, Køber L, et al. . Effect of dapagliflozin on ventricular arrhythmias, resuscitated cardiac arrest, or sudden death in DAPA-HF. Eur Heart J 2021;42:3727–38. 10.1093/eurheartj/ehab560 PubMed DOI PMC

Knops RE, Pepplinkhuizen S, Delnoy PPHM, Boersma LVA, Kuschyk J, El-Chami MF, et al. . Device-related complications in the subcutaneous and transvenous ICD: a secondary analysis of the PRAETORIAN trial. Eur Heart J 2022;43:4872–83. 10.1093/eurheartj/ehac496 PubMed DOI PMC

Najít záznam

Citační ukazatele

Nahrávání dat ...

Možnosti archivace

Nahrávání dat ...