Literature DB >> 16831838

Atrial fibrillation signal organization predicts sinus rhythm maintenance in patients undergoing cardioversion of atrial fibrillation.

Fredrik Holmqvist1, Martin Stridh, Johan E P Waktare, Anders Roijer, Leif Sörnmo, Pyotr G Platonov, Carl J Meurling.   

Abstract

AIMS: Electrical remodelling is believed to influence the outcome following cardioversion of patients with persistent atrial fibrillation (AF). However, the results in clinical studies are conflicting. We assessed the hypothesis that non-invasively obtained atrial fibrillatory organization can be used as a predictor of sinus rhythm (SR) maintenance. METHODS AND
RESULTS: Fifty-four patients (37 men, age 67+/-11) with persistent AF (median duration 3 months, 1 day to 18 months), without anti-arrhythmic drug treatment, referred for cardioversion were studied. Assessment of the atrial harmonic decay was made by time-frequency analysis of the ECG. At 1-month follow-up, 30 patients had relapsed into AF. The mean harmonic decay at inclusion of those relapsing into AF was 1.5+/-0.3 compared with 1.1+/-0.3 among those maintaining SR (P=0.0004). Using a cut-off value of harmonic decay <or=1.5 to determine suitability for cardioversion would have resulted in a clinically useful discriminator (sensitivity=92%, specificity=47%, PPV=59%, and NPV=88%).
CONCLUSION: This study shows that patients relapsing rapidly to AF have a higher harmonic decay than those maintaining SR. The degree of AF signal organization (harmonic decay) was a superior discriminator to other patient parameters. Further studies are needed to confirm these results and to determine the electrophysiological correlate of harmonic decay.

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Year:  2006        PMID: 16831838     DOI: 10.1093/europace/eul072

Source DB:  PubMed          Journal:  Europace        ISSN: 1099-5129            Impact factor:   5.214


  9 in total

1.  Coarse fibrillatory waves in atrial fibrillation predict success of electrical cardioversion.

Authors:  Tian X Zhao; Claire A Martin; John P Cooper; Parag R Gajendragadkar
Journal:  Ann Noninvasive Electrocardiol       Date:  2017-12-22       Impact factor: 1.468

2.  The Telemetric and Holter ECG Warehouse (THEW): the first three years of development and research.

Authors:  Jean-Philippe Couderc
Journal:  J Electrocardiol       Date:  2012-09-28       Impact factor: 1.438

3.  Predictors of successful cardioversion with vernakalant in patients with recent-onset atrial fibrillation.

Authors:  Natalia Mochalina; Tord Juhlin; Bertil Öhlin; Jonas Carlson; Fredrik Holmqvist; Pyotr G Platonov
Journal:  Ann Noninvasive Electrocardiol       Date:  2014-07-09       Impact factor: 1.468

4.  A non-invasive method to predict electrical cardioversion outcome of persistent atrial fibrillation.

Authors:  Raúl Alcaraz; José Joaquín Rieta
Journal:  Med Biol Eng Comput       Date:  2008-04-24       Impact factor: 2.602

5.  Non-invasive atrial fibrillation organization follow-up under successive attempts of electrical cardioversion.

Authors:  Raúl Alcaraz; José Joaquín Rieta; Fernando Hornero
Journal:  Med Biol Eng Comput       Date:  2009-12       Impact factor: 2.602

6.  Spectral Analysis of Electrocardiograms in Patients with Inducible Atrial Fibrillation after Catheter Ablation Predicts Sinus Rhythm Maintenance.

Authors:  Stavros Stavrakis; John W Dyer; Benjamin J Scherlag; Zeeshan Khan; Paul Yeung; Jawad Chohan; Sunny S Po
Journal:  Ann Noninvasive Electrocardiol       Date:  2016-05-26       Impact factor: 1.468

7.  Central tendency measure and wavelet transform combined in the non-invasive analysis of atrial fibrillation recordings.

Authors:  Raúl Alcaraz; José Joaquín Rieta
Journal:  Biomed Eng Online       Date:  2012-08-09       Impact factor: 2.819

8.  Application of Wavelet Entropy to predict atrial fibrillation progression from the surface ECG.

Authors:  Raúl Alcaraz; José J Rieta
Journal:  Comput Math Methods Med       Date:  2012-09-26       Impact factor: 2.238

9.  Developing a New Computer-Aided Clinical Decision Support System for Prediction of Successful Postcardioversion Patients with Persistent Atrial Fibrillation.

Authors:  Mark Sterling; David T Huang; Behnaz Ghoraani
Journal:  Comput Math Methods Med       Date:  2015-05-18       Impact factor: 2.238

  9 in total

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