Survival Probability and Survival Benefit Associated With Primary Prevention Implantable Cardioverter‐Defibrillator Generator Changes

Background As patients derive variable benefit from generator changes (GCs) of implantable cardioverter‐defibrillators (ICDs) with an original primary prevention (PP) indication, better predictors of outcomes are needed. Methods and Results In the National Cardiovascular Data Registry ICD Registry, patients undergoing GCs of initial non‐cardiac resynchronization therapy PP ICDs in 2012 to 2016, predictors of post‐GC survival and survival benefit versus control heart failure patients without ICDs were assessed. These included predicted annual mortality based on the Seattle Heart Failure Model, left ventricular ejection fraction (LVEF) >35%, and the probability that a patient's death would be arrhythmic (proportional risk of arrhythmic death [PRAD]). In 40 933 patients undergoing GCs of initial noncardiac resynchronization therapy PP ICDs (age 67.7±12.0 years, 24.5% women, 34.1% with LVEF >35%), Seattle Heart Failure Model–predicted annual mortality had the greatest effect size for decreased post‐GC survival (P<0.0001). Patients undergoing GCs of initial noncardiac resynchronization therapy PP ICDs with LVEF >35% had a lower Seattle Heart Failure Model–adjusted survival versus 23 472 control heart failure patients without ICDs (model interaction hazard ratio, 1.21 [95% CI, 1.11–1.31]). In patients undergoing GCs of initial noncardiac resynchonization therapy PP ICDs with LVEF ≤35%, the model indicated worse survival versus controls in the 21% of patients with a PRAD <43% and improved survival in the 10% with PRAD >65%. The association of the PRAD with survival benefit or harm was similar in patients with or without pre‐GC ICD therapies. Conclusions Patients who received replacement of an ICD originally implanted for primary prevention and had at the time of GC either LVEF >35% alone or both LVEF ≤35% and PRAD <43% had worse survival versus controls without ICDs.

[1]  P. Ponikowski,et al.  Effect of dapagliflozin on ventricular arrhythmias, resuscitated cardiac arrest, or sudden death in DAPA-HF , 2021, European heart journal.

[2]  Akshay S. Desai,et al.  Dynamic changes in cardiovascular and systemic parameters prior to sudden cardiac death in heart failure with reduced ejection fraction: a PARADIGM‐HF analysis , 2021, European journal of heart failure.

[3]  L. Lund,et al.  Modeling defibrillation benefit for survival among cardiac resynchronization therapy defibrillator recipients. , 2019, American heart journal.

[4]  A. Brandes,et al.  Risk Models for Prediction of Implantable Cardioverter-Defibrillator Benefit: Insights From the DANISH Trial. , 2019, JACC. Heart failure.

[5]  J. Curtis,et al.  Outcomes following implantable cardioverter-defibrillator generator replacement in patients with recovered left ventricular systolic function: The National Cardiovascular Data Registry. , 2019, Heart rhythm.

[6]  George A. Johnson,et al.  Improving the Use of Primary Prevention Implantable Cardioverter-Defibrillators Therapy With Validated Patient-Centric Risk Estimates. , 2018, JACC. Clinical electrophysiology.

[7]  G. Sanders,et al.  When Is It Safe Not to Reimplant an Implantable Cardioverter Defibrillator at the Time of Battery Depletion? , 2018, Cardiac electrophysiology clinics.

[8]  K. Ensrud,et al.  Association of Implantable Cardioverter Defibrillators With Survival in Patients With and Without Improved Ejection Fraction: Secondary Analysis of the Sudden Cardiac Death in Heart Failure Trial , 2017, JAMA cardiology.

[9]  M. Gardner,et al.  Benefit of Implantable Cardioverter-Defibrillator Generator Replacement in a Primary Prevention Population-Based Cohort. , 2017, JACC. Clinical electrophysiology.

[10]  K. Swedberg,et al.  Seattle Heart Failure and Proportional Risk Models Predict Benefit From Implantable Cardioverter-Defibrillators. , 2017, Journal of the American College of Cardiology.

[11]  C. O'connor,et al.  Does the Implantable Cardioverter-Defibrillator Benefit Vary With the Estimated Proportional Risk of Sudden Death in Heart Failure Patients? , 2017, JACC. Clinical electrophysiology.

[12]  Bela Merkely,et al.  Access to and clinical use of cardiac implantable electronic devices and interventional electrophysiological procedures in the European Society of Cardiology Countries: 2016 Report from the European Heart Rhythm Association. , 2016, Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology.

[13]  D. Mozaffarian,et al.  A novel method to predict the proportional risk of sudden cardiac death in heart failure: Derivation of the Seattle Proportional Risk Model. , 2015, Heart rhythm.

[14]  K. Shivkumar,et al.  Implantable cardioverter defibrillators: even better than we thought? , 2015, European heart journal.

[15]  John Rumsfeld,et al.  The National ICD Registry Report: version 2.1 including leads and pediatrics for years 2010 and 2011. , 2013, Heart rhythm.

[16]  Tim Smith,et al.  Effectiveness of prophylactic implantation of cardioverter-defibrillators without cardiac resynchronization therapy in patients with ischaemic or non-ischaemic heart disease: a systematic review and meta-analysis , 2010, Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology.

[17]  I. Piña,et al.  Review of the registry's fourth year, incorporating lead data and pediatric ICD procedures, and use as a national performance measure. , 2010, Heart rhythm.

[18]  U. Dahlström,et al.  Heart failure registry: a valuable tool for improving the management of patients with heart failure , 2010, European journal of heart failure.

[19]  A. di Lenarda,et al.  [Italian Network on Congestive Heart Failure: ten-year experience]. , 2006, Giornale italiano di cardiologia.

[20]  J. Spertus,et al.  Usefulness of depression to predict time to combined end point of transplant or death for outpatients with advanced heart failure. , 2004, The American journal of cardiology.