Paced ventricular electrogram fractionation predicts sudden cardiac death in hypertrophic cardiomyopathy

Area of Science:

• Cardiology
• Electrophysiology
• Medical Devices

Background:

• Hypertrophic cardiomyopathy (HCM) is a significant risk factor for sudden cardiac death (SCD).
• Accurate prediction of SCD is crucial for timely intervention and management in HCM patients.
• Current non-invasive risk stratification methods have limitations in predicting SCD events.

Purpose of the Study:

• To evaluate the efficacy of Paced Electrogram Fractionation Analysis (PEFA) in predicting SCD in a large cohort of HCM patients.
• To compare the predictive value of PEFA against established risk factors for SCD.
• To assess the role of PEFA in guiding implantable cardioverter-defibrillator (ICD) therapy decisions.

Main Methods:

• Prospective study involving 179 HCM patients without a history of cardiac arrest.
• Follow-up period of mean 4.3 years to monitor SCD-equivalent events (sudden death, ventricular fibrillation, ICD discharge).
• Determination of the positive predictive value (PPV) of PEFA and comparison with conventional SCD risk markers.

Main Results:

• Thirteen patients experienced SCD-equivalent events during follow-up.
• PEFA identified 9 of these 13 events, with a censored PPV ranging from 0.19 to 0.59, exceeding the trial's stopping point PPV of 0.18.
• PEFA demonstrated a higher PPV (0.38 for 4-year follow-up) compared to conventional markers (PPV of 0.106).

Conclusions:

• PEFA is a more accurate predictor of SCD in HCM patients compared to non-invasive techniques.
• PEFA may play a vital role in identifying patients who would benefit from ICD implantation.
• The findings support the clinical utility of PEFA in risk stratification for HCM-associated SCD.