Predicting long‐term freedom from atrial fibrillation after catheter ablation by a machine learning algorithm: Validation of the CAAP‐AF score

Preprocedural clinical predictors of the successful maintenance of sinus rhythm may contribute to optimal treatment strategies for atrial fibrillation (AF). The CAAP-AF score, a novel simple tool scored as 0-13 points (including six independent variables) has been proposed to predict long-term freedom from AF after catheter ablation. To clarify its reproducibility, we examined the CAAP-AF score's predictive performance and then created subgroups...