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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.
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.
Abstract:
Current guidelines advocate for the use of prophylactic implantable cardioverter defibrillators (ICDs) for all patients with symptomatic heart failure (HF) with low ejection fraction (EF). As many patients will never use their device and some are prone to device-related complications, scoring systems for delineating subgroups with differential ICD survival benefits are crucial to maximize ICD benefit and mitigate complications. This review summarizes the main scores, including MADIT trial-based Risk Stratification Score (MRSS) and Seattle Heart Failure Model (SHFM), which are based on randomized trials with a control group (HF medication only) and validated on large cohorts of 'real-world' HF patients. Recent studies using cardiac MRI (CMR) to predict ventricular arrhythmia (VA) are mentioned as well. The review shows that most scores could not delineate sustained VA incidence, but rather mortality without prior appropriate ICD therapies. Multiple scores could identify high-risk subgroups with extremely high probability of early mortality after ICD implant. On the other hand, low-risk subgroups were defined, in whom a high ratio of appropriate ICD therapy versus death without prior appropriate ICD therapy was found, suggesting significant ICD survival benefit. Moreover, MRSS and SHFM proved actual ICD survival benefit in low- and medium-risk subgroups when compared with control patients, and no benefit in high-risk subgroups, consisting of 16-20% of all ICD candidates. CMR reliably identified areas of myocardial scar and 'channels', significantly associated with VA. We conclude that as for today, multiple scoring models could delineate patient subgroups that would benefit differently from prophylactic ICD. Due to their modest-moderate predictability, these scores are still not ready to be implemented into clinical guidelines, but could aid decision regarding prophylactic ICD in borderline cases, as elderly patients and those with multiple co-morbidities. CMR is a promising technique which might help delineate patients with a low- versus high-risk for future VA, beyond EF alone. Lastly, genetic analysis could identify specific mutations in a non-negligible percent of patients, and a few of these mutations were found to predict an increased arrhythmic risk.
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