Sudden Cardiac Death Prediction in Arrhythmogenic Right Ventricular Cardiomyopathy: A Multinational Collaboration

Area of Science:

• Cardiology
• Electrophysiology
• Genetics

Background:

• Arrhythmogenic right ventricular cardiomyopathy (ARVC) is a significant cause of ventricular arrhythmias (VA) and sudden cardiac death (SCD).
• Existing models may overestimate SCD risk by focusing on sustained VA.
• There is a need for a more precise predictor of life-threatening VA (LTVA) as a surrogate for SCD in ARVC patients.

Purpose of the Study:

• To develop and validate a prediction model for LTVA in definite ARVC cases.
• To identify key clinical predictors associated with LTVA, aiming for a closer surrogate for SCD.
• To evaluate the predictive value of prior sustained VA and functional heart disease extent on subsequent LTVA.

Main Methods:

• Retrospective cohort study of 864 definite ARVC patients from 15 centers.
• Cox regression analysis was used to assess the association of 8 prespecified clinical predictors with LTVA.
• Internal validation of the prediction model was performed using bootstrapping.

Main Results:

• Four predictors were significantly associated with LTVA: younger age, male sex, premature ventricular complex count, and number of T-wave inversion leads.
• Prior sustained VA was not a significant predictor of subsequent LTVA (P=0.850).
• The final model demonstrated good performance with an optimism-corrected C-index of 0.74 and calibration slope of 0.95.

Conclusions:

• A simple, novel prediction model using four clinical predictors effectively identifies LTVA risk in ARVC patients.
• This model serves as a closer surrogate for SCD risk assessment in ARVC.
• Prior sustained VA and the degree of ventricular dysfunction do not predict future LTVA events.