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Echocardiographic Risk Factors for Atrial Fibrillation Recurrence Following Radiofrequency Catheter Ablation: A
Huishan He1, Shan Yuan1, Shajin He1
1Department of Cardiology, The First People's Hospital of Zunyi (The Third Affiliated Hospital of Zunyi Medical University), Zunyi, 563000, People's Republic of China.
Pre-procedural echocardiography parameters, specifically left atrial volume index (LAVI) and E/e
Area of Science:
- Cardiology
- Medical Imaging
- Electrophysiology
Background:
- Atrial fibrillation (AF) recurrence after radiofrequency catheter ablation (RFCA) remains a clinical challenge.
- Pre-procedural echocardiography (ECHO) parameters may offer insights into predicting ablation outcomes.
- Identifying reliable predictors can optimize patient selection and post-procedural management.
Purpose of the Study:
- To evaluate the predictive value of pre-procedural ECHO parameters for AF recurrence post-RFCA.
- To develop and validate a predictive model for AF recurrence using key echocardiographic indices.
- To identify independent predictors of AF recurrence following RFCA.
Main Methods:
- Retrospective analysis of 103 AF patients undergoing first-time RFCA.
- Assessment of pre-ablation ECHO parameters, including left atrial diameter (LAD), left atrial volume index (LAVI), and mitral inflow/annular velocities (E/A, E/e').
- Statistical analysis using univariate and multivariate logistic regression, ROC curves, and decision curve analysis (DCA) to develop a predictive model and nomogram.
Main Results:
- AF recurrence was observed in 31.1% of patients.
- Higher LAVI and E/e' ratio, along with lower average early diastolic mitral annular tissue velocity (e'), were associated with recurrence in univariate analysis.
- Multivariate analysis identified LAVI (OR=1.154) and E/e' ratio (OR=2.545) as independent predictors. The combined model achieved an AUC of 0.809.
Conclusions:
- Pre-procedural LAVI and E/e' ratio are significant independent predictors of AF recurrence after RFCA.
- A combined predictive model incorporating LAVI and E/e' demonstrates promising performance for predicting AF recurrence.
- Further external validation is recommended before widespread clinical implementation of the predictive model.
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