Literature DB >> 16643359

Organization of frequency spectra of atrial fibrillation: relevance to radiofrequency catheter ablation.

Yoshihide Takahashi1, Prashanthan Sanders, Pierre Jaïs, Mélèze Hocini, Rémi Dubois, Martin Rotter, Thomas Rostock, Chrishan J Nalliah, Frédéric Sacher, Jacques Clémenty, Michel Haïssaguerre.   

Abstract

INTRODUCTION: We hypothesized that the frequency spectra of fibrillatory electrograms may reflect the complexity of activities perpetuating atrial fibrillation (AF). To test this hypothesis, we evaluated the frequency spectra in patients with paroxysmal AF in relation to catheter ablation. METHODS AND
RESULTS: This study comprised two protocols: 25 patients undergoing pulmonary vein (PV) isolation in protocol I, and 20 patients undergoing mitral isthmus linear ablation after PV isolation in protocol II. The mean of dominant frequency (DF) and organization index (the ratio of the area under the DF and its harmonics to the total power) were determined from 32-second recordings in the coronary sinus. In protocol I, a PV was considered "driver" of AF if isolation of the PV resulted in termination or slowing of AF (decrease in DF by > or =0.25 Hz). Twenty-one patients had AF termination during four PV isolation. Among these 21 patients, 13 patients with single driving PV showed significantly higher baseline organization index than eight patients with multiple driving PVs (0.45 +/- 0.08 vs 0.35 +/- 0.07, P = 0.009). Patients with multiple driving PVs showed a significant increase in the organization index to 0.45 +/- 0.11 (P < 0.05) after isolation of the initial driving PVs. In protocol II, the baseline organization index was significantly higher in seven patients who had termination of AF during mitral isthmus ablation than 13 patients who did not (0.50 +/- 0.10 vs 0.38 +/- 0.07, P < 0.008). The baseline DF was not associated with outcomes of ablation in both protocols.
CONCLUSIONS: A higher organization index of atrial electrograms is associated with termination of AF during limited ablation. This parameter may be useful to anticipate the extent of ablation.

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Year:  2006        PMID: 16643359     DOI: 10.1111/j.1540-8167.2005.00414.x

Source DB:  PubMed          Journal:  J Cardiovasc Electrophysiol        ISSN: 1045-3873


  20 in total

1.  Atrial electrogram discordance during baseline vs reinduced atrial fibrillation: Potential ramifications for ablation procedures.

Authors:  Angelo B Biviano; Edward J Ciaccio; Robert Knotts; Jessica Fleitman; John Lawrence; Vivek Iyer; William Whang; Hasan Garan
Journal:  Heart Rhythm       Date:  2015-03-26       Impact factor: 6.343

Review 2.  Addressing challenges of quantitative methodologies and event interpretation in the study of atrial fibrillation.

Authors:  Edward J Ciaccio; Elaine Y Wan; Deepak S Saluja; U Rajendra Acharya; Nicholas S Peters; Hasan Garan
Journal:  Comput Methods Programs Biomed       Date:  2019-06-15       Impact factor: 5.428

3.  Effects of inter-electrode spacing on complex fractionated atrial electrograms and dominant frequency detection.

Authors:  Koichi Nagashima; Yasuo Okumura; Ichiro Watanabe; Toshiko Nakai; Kimie Ohkubo; Tatsuya Kofune; Masayoshi Kofune; Hiroaki Mano; Kazumasa Sonoda; Atsushi Hirayama
Journal:  J Interv Card Electrophysiol       Date:  2012-01-11       Impact factor: 1.900

4.  Atrial electromechanical cycle length mapping in paced canine hearts in vivo.

Authors:  Alexandre Costet; Ethan Bunting; Julien Grondin; Alok Gambhir; Elisa E Konofagou
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2015-07       Impact factor: 2.725

Review 5.  Evidence-based approach to ablating atrial fibrillation.

Authors:  Takumi Yamada; G Neal Kay
Journal:  Curr Cardiol Rep       Date:  2007-09       Impact factor: 2.931

6.  Spatial and temporal variability of the complex fractionated atrial electrogram activity and dominant frequency in human atrial fibrillation.

Authors:  Rikitake Kogawa; Yasuo Okumura; Ichiro Watanabe; Masayoshi Kofune; Koichi Nagashima; Hiroaki Mano; Kazumasa Sonoda; Naoko Sasaki; Kimie Ohkubo; Toshiko Nakai; Atsushi Hirayama
Journal:  J Arrhythm       Date:  2014-09-26

7.  Ibutilide increases the variability and complexity of atrial fibrillation electrograms: antiarrhythmic insights using signal analyses.

Authors:  Angelo B Biviano; Edward J Ciaccio; Tara Gabelman; William Whang; Hasan Garan
Journal:  Pacing Clin Electrophysiol       Date:  2013-07-22       Impact factor: 1.976

8.  Comparative distribution of complex fractionated atrial electrograms, high dominant frequency (HDF) sites during atrial fibrillation and HDF sites during sinus rhythm.

Authors:  Masayoshi Kofune; Yasuo Okumura; Ichiro Watanabe; Koichi Nagashima; Kazumasa Sonoda; Hiroaki Mano; Rikitake Kogawa; Naoko Sasaki; Kimie Ohkubo; Toshiko Nakai; Mizuki Nikaido; Atsushi Hirayama
Journal:  J Interv Card Electrophysiol       Date:  2012-11-20       Impact factor: 1.900

9.  Centrifugal gradients of rate and organization in human atrial fibrillation.

Authors:  David E Krummen; Kevin A Peng; John R Bullinga; Sanjiv M Narayan
Journal:  Pacing Clin Electrophysiol       Date:  2009-09-10       Impact factor: 1.976

10.  Time and frequency series combination for non-invasive regularity analysis of atrial fibrillation.

Authors:  Carlos Vayá; José Joaquín Rieta
Journal:  Med Biol Eng Comput       Date:  2009-05-26       Impact factor: 2.602

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