Left Atrial Sphericity Index Predicts Early Recurrence of Atrial Fibrillation After Direct-Current Cardioversion: An

Armin Osmanagic1, Sören Möller2, Azra Osmanagic3

  • 1Department of Medical Research, Odense University Hospital Svendborg, Svendborg, Denmark.

Clinical Cardiology
|May 11, 2016
PubMed

Insights

A more spherical left atrium, indicated by a high left atrial sphericity index (LASI >0.9), predicts atrial fibrillation (AF) recurrence after direct-current cardioversion (DCC). This finding aids in managing persistent AF patients post-DCC.

Area of Science:

  • Cardiology
  • Medical Imaging
  • Electrophysiology

Background:

  • Direct-current cardioversion (DCC) is frequently used for rhythm control in persistent atrial fibrillation (AF).
  • AF recurrence post-DCC is common, occurring in up to 57% of patients within one month.
  • Predictive markers for AF recurrence after DCC are crucial for patient management.

Purpose of the Study:

  • To evaluate the left atrial sphericity index (LASI) measured by 2D transthoracic echocardiography (TTE) as a predictor of AF recurrence.
  • To determine if baseline LASI can identify patients at higher risk of AF returning after successful DCC.

Main Methods:

  • 124 patients with persistent AF (<120 days) underwent successful DCC.
  • Baseline 2D TTE was performed to calculate LASI (left atrial width/length ratio).
  • Patients received only beta-blockers; no other antiarrhythmic drugs were used.

Main Results:

  • A spherical left atrium (LASI >0.9) was a strong predictor of AF recurrence.
  • The odds ratio for recurrence with LASI >0.9 ranged from 4.1 to 7.6 (P < 0.005).
  • Receiver operating characteristic analysis confirmed LASI's predictive power, with a cutoff of 0.9 chosen for high specificity.

Conclusions:

  • Baseline LASI >0.9 is significantly associated with increased AF recurrence.
  • This echocardiographic parameter can help stratify risk in persistent AF patients undergoing DCC.
  • LASI measurement offers a valuable, non-invasive tool for predicting long-term outcomes after cardioversion.
Abstract