Prediction of sinus node dysfunction in patients with long-standing persistent atrial fibrillation using the atrial

Akinori Sairaku1, Yukiko Nakano, Noboru Oda

  • 1Department of Cardiology, Hiroshima University, Hiroshima, Japan. rjrgw059@ybb.ne.jp

Insights

Sinus node dysfunction (SND) is often hidden during atrial fibrillation (AF). A prolonged atrial fibrillation cycle length (AFCL) can predict underlying SND, aiding risk stratification before AF ablation.

Area of Science:

  • Cardiology
  • Electrophysiology
  • Cardiac Arrhythmias

Background:

  • Sinus node dysfunction (SND) can coexist with long-standing persistent atrial fibrillation (AF), but it is difficult to diagnose during AF.
  • Identifying predictors of SND is crucial for determining the appropriate indications for ablation in patients with long-standing persistent AF.

Purpose of the Study:

  • To assess the frequency of permanent pacemaker implantation (PMI) for SND after sinus conversion in patients undergoing ablation for long-standing persistent AF.
  • To identify predictors of SND, specifically the relationship between corrected sinus node recovery time (CSNRT) and pre-ablation clinical parameters like atrial fibrillatory cycle length (AFCL).

Main Methods:

  • A cohort of 105 patients undergoing ablation for long-standing persistent AF was analyzed.
  • The study assessed the incidence of PMI for SND post-ablation and correlated CSNRT with pre-ablation parameters, including AFCL.
  • Statistical analyses included correlation, stepwise multivariate linear regression, and receiver operating characteristic (ROC) curve analysis.

Main Results:

  • Seven percent of patients (7/105) required a PMI for SND after AF termination.
  • Patients needing a PMI exhibited significantly longer CSNRT and AFCL compared to those who did not.
  • A prolonged AFCL (>162 milliseconds) was identified as an optimal predictor of SND requiring PMI, with high sensitivity and specificity (AUC=0.84).

Conclusions:

  • A prolonged AFCL is significantly associated with underlying sinus node dysfunction (SND) in patients with long-standing persistent AF.
  • Measuring AFCL before ablation can aid in the risk stratification for identifying patients with occult SND.
  • This finding supports pre-ablation assessment of AFCL to guide clinical decision-making regarding pacemaker implantation.
Abstract

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