Atrial fibrillation episode patterns as predictor of clinical outcome of catheter ablation.

ABSTRACT: Methods for characterization of atrial fibrillation (AF) episode patterns have been introduced without establishing clinical significance. This study investigates, for the first time, whether post-ablation recurrence of AF can be predicted by evaluating episode patterns. The dataset comprises of 54 patients (age 56 ± 11 years; 67% men), with an implantable cardiac monitor, before undergoing the first AF catheter ablation. Two parameters of the alternating bivariate Hawkes model were used to characterize the pattern: AF dominance during the monitoring period (log(mu)) and temporal aggregation of episodes (beta1). Moreover, AF burden and AF density, a parameter characterizing aggregation of AF burden, were studied. The four parameters were computed from an average of 29 AF episodes before ab

SUBMITTER: Saiz-Vivo J 

PROVIDER: S-EPMC9852159 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature