P-wave abnormality predicts recurrence of atrial fibrillation after electrical cardioversion: a prospective study

Ann Noninvasive Electrocardiol. 2014 Jan;19(1):57-62. doi: 10.1111/anec.12087. Epub 2013 Dec 10.

Abstract

Background: Maintenance of atrial fibrillation (AF) is related to atrial electrical inhomogeneity and resultant chaotic reentry. Our aim was to test the hypothesis that abnormalities of P morphology on the surface electrocardiogram (ECG) predict recurrent AF following electrical cardioversion (ECV).

Methods: A 12-lead ECG was recorded after ECV for persistent AF in 77 patients (51 men, 65 ± 10 years) and repeated 1 month later. P-wave duration was obtained in each lead using blinded on-screen measurement. Maximum P-wave duration (P-max) was defined as the longest measurable P-wave duration in any lead. P-wave dispersion (PWd) was calculated as the maximum-minimum P-wave duration.

Results: One month after ECV, 29 (38%) patients maintained sinus rhythm. Compared with the sinus rhythm group, those with recurrent AF had significantly greater PWd (66 ± 19 vs 57 ± 16 ms, P = 0.024) and included more patients with P-max ≥142 ms (65% vs 38%, P = 0.023). Using a cutoff of ≥62 ms for PWd and ≥142 ms for P-max, both indices had similar predictive value (sensitivity 66.7 and 64.6%, specificity 58.6 and 62.1%, respectively). In multiple regression analysis, including established clinical predictors, P-max ≥142 ms was the only independent predictor of AF recurrence (P = 0.025).

Conclusion: A prolonged P-wave duration measured by 12-lead ECG predicts recurrent AF within 1 month after ECV.

Keywords: P wave; atrial fibrillation; electrical cardioversion; electrical dispersion; recurrence of atrial fibrillation; surface ECG.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Atrial Fibrillation / therapy*
  • Electric Countershock / methods*
  • Electrocardiography / methods*
  • Electrocardiography / statistics & numerical data*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Predictive Value of Tests
  • Prospective Studies
  • Recurrence
  • Sensitivity and Specificity
  • Treatment Outcome