Clinical and Echocardiographic Risk Factors Predict Late Recurrence after Radiofrequency Catheter Ablation of Atrial

Yun Gi Kim1, Jong-Il Choi2, Ki Yung Boo1

  • 1Division of Cardiology, Department of Internal Medicine, Korea University College of Medicine and Korea University Medical Center, Seoul, Republic of Korea.

Scientific Reports
|May 5, 2019
PubMed

Insights

Radiofrequency catheter ablation (RFCA) for atrial fibrillation (AF) benefits decrease with late recurrence (LR). A new scoring system predicts LR risk using clinical and echocardiographic factors, aiding patient stratification for better outcomes.

Area of Science:

  • Cardiology
  • Electrophysiology
  • Medical Imaging

Background:

  • Radiofrequency catheter ablation (RFCA) is a treatment for atrial fibrillation (AF).
  • Late recurrence (LR) of AF after RFCA diminishes treatment benefits.
  • Predicting LR is crucial for managing AF patients post-ablation.

Purpose of the Study:

  • To develop a scoring system for predicting late recurrence (LR) risk in atrial fibrillation (AF) patients after RFCA.
  • To identify key clinical and echocardiographic risk factors associated with AF recurrence post-ablation.
  • To stratify patients into high and low risk categories for LR.

Main Methods:

  • A retrospective analysis of 2,352 patients undergoing first-time RFCA for AF.
  • Kaplan-Meier analysis for LR-free survival rates up to 5 years.
  • Cox-regression analysis to determine the influence of clinical and echocardiographic parameters on LR.

Main Results:

  • Significant LR risk factors include AF duration ≥4 years, non-paroxysmal AF, and diabetes.
  • Echocardiographic predictors of LR include LA diameter ≥45mm, E/e' ≥10, dense SEC, and low LA appendage flow velocity.
  • The developed LR score demonstrated predictive capability (AUC=0.717) and risk stratification ability.

Conclusions:

  • Late recurrence after RFCA for AF is influenced by a combination of clinical and echocardiographic factors.
  • The developed scoring system effectively identifies patients at high or low risk for AF recurrence post-RFCA.
  • This tool can aid clinicians in risk-stratifying AF patients and tailoring management strategies.

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