Time-dependent prediction of arrhythmia recurrences during long-term follow-up in patients undergoing catheter ablation of atrial fibrillation: The Leipzig Heart Center AF Ablation Registry

Sci Rep. 2019 May 8;9(1):7112. doi: 10.1038/s41598-019-43644-2.

Abstract

The prediction of arrhythmia recurrences after catheter ablation of atrial fibrillation (AF) remains challenging. The aim of current analysis was to investigate the time-dependent prediction of arrhythmia recurrences after AF catheter ablation during long-term follow-up. The study included 879 patients (61 ± 10 years; 64% males; 39% persistent AF) undergoing first AF catheter ablation. Rhythm outcomes were documented using 7-days Holter monitoring. The APPLE score (Age, Persistent AF, imPaired eGFR, Left atrium (LA), EF) was calculated at baseline, while MB-LATER score (Male gender, Bundle branch block, LA, AF Type, Early Recurrences) 3 months after ablation. The median follow-up time was 37 months [95%CI 35;39]. ERAF and LRAF occurred in 45% and 64%, respectively. On multivariable analysis, ERAF (HR 2.095, 95%CI 1.762-2.490, p < 0.001) was strongly associated with LRAF. The APPLE (HR 1.385, 95%CI 1.276-1.505, p < 0.001) and MB-LATER (HR 1.326, 95%CI 1.239-1.419, p < 0.001) scores significantly predicted LRAF during follow-up. On the ROC analysis, APPLE (AUC 0.640, 95%CI 0.602-0.677, p < 0.001) and MB-LATER (AUC 0.654, 95%CI 0.616-0.691, p < 0.001) demonstrated moderate prediction. Summarizing, ERAF was the strongest predictor for LRAF in time-dependent manner. The APPLE and MB-LATER scores demonstrated moderate prediction of arrhythmia recurrences during long term follow-up.

Publication types

  • Observational Study

MeSH terms

  • Aged
  • Atrial Fibrillation / therapy*
  • Catheter Ablation / methods*
  • Disease-Free Survival
  • Electrocardiography, Ambulatory / methods
  • Female
  • Follow-Up Studies
  • Heart Atria / pathology
  • Humans
  • Male
  • Middle Aged
  • Prognosis
  • ROC Curve
  • Recurrence
  • Registries*
  • Retrospective Studies
  • Risk Assessment
  • Risk Factors
  • Time Factors