Development and validation of a novel nomogram for predicting recurrent atrial fibrillation after cryoballoon ablation.

ABSTRACT:

Background

Few studies have explored the use of machine learning models to predict the recurrence of atrial fibrillation (AF) in patients who have undergone cryoballoon ablation (CBA). We aimed to explore the risk factors for the recurrence of AF after CBA in order to construct a nomogram that could predict this risk.

Methods

Data of 498 patients who had undergone CBA at Ruijin Hospital, Shanghai Jiaotong University School of Medicine, were retrospectively collected. Factors such as clinical characteristics and biophysical parameters during the CBA procedure were collected for the selection of variables. Scores for all the biophysical factors-such as time to pulmonary vein isolation (TTI) and balloon temperature-were calculated to enable construction of the model, which was

SUBMITTER: Wei Y 

PROVIDER: S-EPMC10453796 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature