Predicting electrical storms by remote monitoring of implantable cardioverter-defibrillator patients using machine learning

Europace - Tập 21 Số 2 - Trang 268-274 - 2019
Saeed Shakibfar1, Oswin Krause1, Casper Lund‐Andersen2, Alfonso Aranda3, Jonas Moll1, Tariq Osman Andersen1, Jesper Hastrup Svendsen2,4, Helen Høgh Petersen2, Christian Igel1
1Department of Computer Science, University of Copenhagen, Universitetsparken 5, Copenhagen 2100, Denmark
2Department of Cardiology, The Heart Centre, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
3Medtronic, Medtronic Bakken Research Center, Maastricht, The Netherlands
4Department of Clinical Medicine University of Copenhagen, Copenhagen, Denmark

Tóm tắt

Từ khóa


Tài liệu tham khảo

Ponikowski, 2016, 2016 ESC guidelines for the diagnosis and treatment of acute and chronic heart failure: the Task Force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC)Developed with the special contribution of the Heart Failure Association (HFA) of the ESC, Eur Heart J, 37, 2129, 10.1093/eurheartj/ehw128

Yancy, 2013, 2013 ACCF/AHA guideline for the management of heart failure: a report of the American College of Cardiology Foundation/American Heart Association Task Force on practice guidelines, Circulation, 128, e240

Credner, 1998, Electrical storm in patients with transvenous implantable cardioverter-defibrillators: incidence, management and prognostic implications, J Am Coll Cardiol, 32, 1909, 10.1016/S0735-1097(98)00495-1

Greene, 2000, Is electrical storm in ICD patients the sign of a dying heart? Outcome of patients with clusters of ventricular tachyarrhythmias, Europace, 2, 263, 10.1053/eupc.2000.0104

Hohnloser, 2006, Electrical storm in patients with an implantable defibrillator: incidence, features, and preventive therapy: insights from a randomized trial, Eur Heart J, 27, 3027, 10.1093/eurheartj/ehl276

Verma, 2004, Prevalence, predictors, and mortality significance of the causative arrhythmia in patients with electrical storm, J Cardiovasc Electrophysiol, 15, 1265, 10.1046/j.1540-8167.2004.04352.x

Gatzoulis, 2005, Electrical storm is an independent predictor of adverse long-term outcome in the era of implantable defibrillator therapy, Europace, 7, 184, 10.1016/j.eupc.2005.01.003

Exner, 2001, Electrical storm presages nonsudden death: the antiarrhythmics versus implantable defibrillators (AVID) trial, Circulation, 103, 2066, 10.1161/01.CIR.103.16.2066

Guerra, 2014, Role of electrical storm as a mortality and morbidity risk factor and its clinical predictors: a meta-analysis, Europace, 16, 347, 10.1093/europace/eut304

Brigadeau, 2006, Clinical predictors and prognostic significance of electrical storm in patients with implantable cardioverter defibrillators, Eur Heart J, 27, 700, 10.1093/eurheartj/ehi726

Sesselberg, 2007, Ventricular arrhythmia storms in postinfarction patients with implantable defibrillators for primary prevention indications: a MADIT-II substudy, Heart Rhythm, 4, 1395, 10.1016/j.hrthm.2007.07.013

Streitner, 2011, Predictors of electrical storm recurrences in patients with implantable cardioverter-defibrillators, Europace, 13, 668, 10.1093/europace/euq428

Breiman, 2001, Random forests, Mach Learn, 45, 5, 10.1023/A:1010933404324

Deo, 2015, Machine learning in medicine, Circulation, 132, 1920, 10.1161/CIRCULATIONAHA.115.001593

DeLong, 1988, Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach, Biometrics, 44, 837, 10.2307/2531595

Adamson, 2004, Continuous autonomic assessment in patients with symptomatic heart failure: prognostic value of heart rate variability measured by an implanted cardiac resynchronization device, Circulation, 110, 2389, 10.1161/01.CIR.0000139841.42454.78

Whellan, 2010, Combined heart failure device diagnostics identify patients at higher risk of subsequent heart failure hospitalizations: results from PARTNERS HF (Program to Access and Review Trending Information and Evaluate Correlation to Symptoms in Patients With Heart Failure) study, J Am Coll Cardiol, 55, 1803, 10.1016/j.jacc.2009.11.089

Wathen, 2004, Prospective randomized multicenter trial of empirical antitachycardia pacing versus shocks for spontaneous rapid ventricular tachycardia in patients with implantable cardioverter-defibrillators: pacing Fast Ventricular Tachycardia Reduces Shock Therapies (PainFREE Rx II) trial results, Circulation, 110, 2591, 10.1161/01.CIR.0000145610.64014.E4

Chan, 2016, Abstract 20131: Prediction of ventricular tachyarrhythmias in patients with implantable-cardioverter-defibrillator, Circulation, 134, A20131

Weber, 1999, Efficacy and safety of the initial use of stability and onset criteria in implantable cardioverter defibrillators, J Cardiovasc Electrophysiol, 10, 145, 10.1111/j.1540-8167.1999.tb00655.x

Jodko, 2009, Inappropriate cardioverter-defibrillator discharge continues to be a major problem in clinical practice, Cardiol J, 16, 432

Moss, 2012, Reduction in inappropriate therapy and mortality through ICD programming, N Engl J Med, 367, 2275, 10.1056/NEJMoa1211107

Mansour, 2011, Programming ICDs in the modern era beyond out-of-the box settings, Pacing Clin Electrophysiol, 34, 506, 10.1111/j.1540-8159.2011.03037.x