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Published on: May 26, 2015
Factors predicting the recurrence of atrial fibrillation after catheter ablation: A review
Degang Mo1, Mengmeng Wang2, Peng Zhang2
1Qingdao Municipal Hospital, School of Medicine, Qingdao University, Qingdao, 266011, China.
Insights
Identifying patients at high risk for atrial fibrillation (AF) recurrence after catheter ablation (CA) is crucial. This review covers predictors like fibrosis, inflammation, and genetic markers to improve patient outcomes.
Area of Science:
- Cardiology
- Electrophysiology
Background:
- Atrial fibrillation (AF) is a common cardiac arrhythmia.
- Catheter ablation (CA) can restore sinus rhythm but recurrence is a clinical challenge.
Purpose of the Study:
- To review current predictors of AF recurrence after CA.
- To explore mechanisms underlying AF recurrence.
- To aid researchers in understanding and predicting AF recurrence.
Main Methods:
- Literature review of predictors for AF recurrence post-CA.
- Summary of myocardial fibrosis markers.
- Analysis of inflammatory markers, MicroRNAs, and Circular RNAs.
- Inclusion of AF recurrence scores and imaging indicators.
Main Results:
- Multiple predictors exist for AF recurrence, including biological markers and imaging.
- Individual predictors have limitations; combined application may enhance predictive power.
- Mechanisms involve patient history, inflammation, fibrosis, and genetic factors.
Conclusions:
- Early identification of high-risk patients for AF recurrence is essential for improved prognosis.
- Further research into combined predictors and underlying mechanisms is warranted.
- This review provides a comprehensive overview of current AF recurrence predictors.
Abstract:
Atrial fibrillation (AF) is the most common and clinically significant type of cardiac arrhythmia. Although catheter ablation (CA) can restore sinus rhythm in patients with AF, some patients experience recurrence after the procedure. This requires us to find a simple and effective way to identify patients at a high risk of recurrence and to intervene early in the high-risk population to improve patient prognosis. The mechanism of AF recurrence is unclear, but it involves several aspects including patient history, inflammation, myocardial fibrosis, and genes. This article summarizes the current predictors of AF recurrence after CA, including myocardial fibrosis markers, inflammatory markers, MicroRNAs, Circular RNAs, AF recurrence scores, and imaging indicators. Each predictor has its own scope of application, and the predictive capacity and joint application of multiple predictors may improve the predictive power. In addition, we summarize the mechanisms involved in AF recurrence. We hope that this review will assist researchers understand the current predictors of AF recurrence and help them conduct further related studies.
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