ISSN: 2155-9880
Department of Medicine, Medical College of Georgia, Augusta University, Augusta, USA
Research Article
Creation and Validation of an Algorithm Predicting Recurrence of Atrial Fibrillation Following Pulmonary Vein Isolation Utilizing Real-World Data and Ensemble Modeling Techniques
Author(s): Adam E. Berman*, Deepak Nag Ayyala, Paul Maddux, Aaron Gopal and William White
Objective: Catheter Ablation (CA) of Atrial Fibrillation (AF) represents a mainstay of the treatment of this increasingly prevalent arrhythmia. Prospective clinical trials investigating the efficacy of CA may poorly represent real-world patient populations. However, many real-world clinical data sets possess missing data, which may impede their applicability in research. Thus, we sought to use ensemble modeling to address missing data and develop a model to estimate the probability of AF recurrence following CA.
Methods: We retrospectively analyzed clinical variables in 476 patients who underwent an initial CA of AF. Univariate and multivariate logistic regression was performed to determine those variables predictive of AF recurrence. A multivariate logistic model was created to estimate the probability of AF recurrence after CA. Missing dat.. Read More»
DOI:
10.35248/2155-9880.23.14.768