Prophylactic ICD Survival Benefit Prediction: Review and Comparison between Main Scores

Moshe Rav-Acha1,2, Ziv Dadon1,2, Arik Wolak1,2

  • 1Jesselson Integrated Heart Center Share Zedek Medical Center, Jerusalem 9103102, Israel.

Journal of Clinical Medicine
|September 14, 2024
PubMed

Insights

Risk scores help identify heart failure patients who benefit most from implantable cardioverter-defibrillators (ICDs). Some scores show survival benefits in low-risk groups but not high-risk ones, aiding clinical decisions.

Area of Science:

  • Cardiology
  • Medical Devices
  • Predictive Analytics

Background:

  • Current guidelines recommend prophylactic implantable cardioverter-defibrillators (ICDs) for symptomatic heart failure (HF) patients with low ejection fraction (EF).
  • However, many patients do not benefit from ICDs, and some experience device-related complications, necessitating better risk stratification.
  • Scoring systems are crucial for identifying subgroups with differential ICD survival benefits to maximize efficacy and minimize harm.

Purpose of the Study:

  • To review and evaluate existing scoring systems for predicting survival benefits of prophylactic ICDs in heart failure patients.
  • To assess the utility of cardiac MRI (CMR) and genetic analysis in predicting ventricular arrhythmias (VAs).
  • To determine if current scores can guide clinical decisions for ICD implantation.

Main Methods:

  • Review of established risk scores like the MADIT trial-based Risk Stratification Score (MRSS) and Seattle Heart Failure Model (SHFM).
  • Analysis of studies utilizing cardiac MRI (CMR) for predicting ventricular arrhythmias (VAs).
  • Examination of data on the predictive value of genetic analysis for arrhythmic risk.

Main Results:

  • Most scoring systems primarily predict mortality rather than sustained ventricular arrhythmia (VA) incidence.
  • Multiple scores effectively identify high-risk subgroups with high early mortality post-ICD implant.
  • Low- and medium-risk subgroups showed actual ICD survival benefit with MRSS and SHFM, while high-risk subgroups (16-20%) showed no benefit.
  • CMR reliably identified myocardial scar and 'channels' associated with VA.
  • Genetic analysis identified mutations predicting increased arrhythmic risk in a subset of patients.

Conclusions:

  • Current scoring models can delineate patient subgroups with varying prophylactic ICD benefits but lack sufficient predictability for guideline implementation.
  • These scores can assist in borderline cases, particularly in elderly patients or those with comorbidities.
  • Cardiac MRI shows promise in identifying VA risk beyond ejection fraction alone.
  • Genetic analysis may further refine risk stratification for arrhythmic events.

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