Literature DB >> 25818256

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

Angelo B Biviano1, Edward J Ciaccio2, Robert Knotts2, Jessica Fleitman2, John Lawrence2, Vivek Iyer2, William Whang2, Hasan Garan2.   

Abstract

BACKGROUND: There are scant data comparing the electrogram (EGM) signal characteristics of atrial fibrillation (AF) at baseline vs electrically induced states during ablation procedures.
OBJECTIVE: The purpose of this study was to use novel intracardiac signal analysis techniques to gain insights into the effects of catheter ablation and AF reinduction on AF EGMs in patients with persistent AF.
METHODS: We collected left atrial EGMs in patients undergoing first ablation for persistent AF at 3 time intervals: (1) AF at baseline; (2) AF after pulmonary vein isolation (PVI); and (3) AF after post-PVI cardioversion and subsequent reinduction. We analyzed 2 EGM spectral characteristics: (1) dominant frequency and (2) spectral complexity; and 2 EGM morphologic characteristics: (1) morphology variation and (2) pattern repetitiveness.
RESULTS: There were no differences in AF dominant frequency, dominant amplitude, spectral complexity, or metrics of EGM morphology or repetitiveness at baseline vs after PVI. However, dominant frequency, dominant amplitude, and spectral complexity differed significantly after direct current cardioversion and reinduction of AF.
CONCLUSION: The frequency, spectral complexity, and local EGM morphologies of AF do not significantly change over the course of a PVI procedure in patients with persistent AF. However, reinduction of AF after direct current cardioversion results in different dominant frequency and spectral complexity, consistent with a change in the characteristics of the perpetuating source(s) of the newly induced AF. These data suggest that AF properties can vary significantly between baseline and reinduced AF, with potential clinical ramifications for outcomes of catheter ablation procedures.
Copyright © 2015 Heart Rhythm Society. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Atrial fibrillation; Dominant frequency; Electrogram analysis; Linear prediction

Mesh:

Year:  2015        PMID: 25818256      PMCID: PMC4485587          DOI: 10.1016/j.hrthm.2015.03.044

Source DB:  PubMed          Journal:  Heart Rhythm        ISSN: 1547-5271            Impact factor:   6.343


  24 in total

1.  Characteristics of complex fractionated atrial electrogram in the electroanatomically remodeled left atrium of patients with atrial fibrillation.

Authors:  Jae Hyung Park; Sang Weon Park; Jong Youn Kim; Sook Kyoung Kim; Boyoung Jeoung; Moon-Hyung Lee; Chun Hwang; Young-Hoon Kim; Sung Soon Kim; Hui-Nam Pak
Journal:  Circ J       Date:  2010-06-16       Impact factor: 2.993

2.  Relationship between complex fractionated electrograms (CFE) and dominant frequency (DF) sites and prospective assessment of adding DF-guided ablation to pulmonary vein isolation in persistent atrial fibrillation (AF).

Authors:  Atul Verma; Dhanunjaya Lakkireddy; Zaev Wulffhart; Jayasree Pillarisetti; Domenic Farina; Marianne Beardsall; Bonnie Whaley; David Giewercer; Bernice Tsang; Yaariv Khaykin
Journal:  J Cardiovasc Electrophysiol       Date:  2011-07-07

3.  Mechanisms of fractionated electrograms formation in the posterior left atrium during paroxysmal atrial fibrillation in humans.

Authors:  Felipe Atienza; David Calvo; Jesús Almendral; Sharon Zlochiver; Krzysztof R Grzeda; Nieves Martínez-Alzamora; Esteban González-Torrecilla; Angel Arenal; Francisco Fernández-Avilés; Omer Berenfeld
Journal:  J Am Coll Cardiol       Date:  2011-03-01       Impact factor: 24.094

4.  Increase in organization index predicts atrial fibrillation termination with flecainide post-ablation: spectral analysis of intracardiac electrograms.

Authors:  Jiun Tuan; Faizel Osman; Mohamed Jeilan; Suman Kundu; Rajkumar Mantravadi; Peter J Stafford; G André Ng
Journal:  Europace       Date:  2009-12-17       Impact factor: 5.214

5.  Differences in repeating patterns of complex fractionated left atrial electrograms in longstanding persistent atrial fibrillation as compared with paroxysmal atrial fibrillation.

Authors:  Edward J Ciaccio; Angelo B Biviano; William Whang; John A Vest; Alok Gambhir; Andrew J Einstein; Hasan Garan
Journal:  Circ Arrhythm Electrophysiol       Date:  2011-05-02

6.  The temporal variability of dominant frequency and complex fractionated atrial electrograms constrains the validity of sequential mapping in human atrial fibrillation.

Authors:  Nicole Habel; Pierre Znojkiewicz; Nathaniel Thompson; Joachim G Müller; Bryan Mason; James Calame; Susan Calame; Shruti Sharma; Gagan Mirchandani; Deborah Janks; Jason Bates; Arshia Noori; Andreas Karnbach; Daniel L Lustgarten; Burton E Sobel; Peter Spector
Journal:  Heart Rhythm       Date:  2010-01-11       Impact factor: 6.343

7.  Different characteristics of complex fractionated atrial electrograms in acute paroxysmal versus long-standing persistent atrial fibrillation.

Authors:  Edward J Ciaccio; Angelo B Biviano; William Whang; Alok Gambhir; Hasan Garan
Journal:  Heart Rhythm       Date:  2010-06-15       Impact factor: 6.343

8.  New methods for estimating local electrical activation rate during atrial fibrillation.

Authors:  Edward J Ciaccio; Angelo B Biviano; William Whang; Andrew L Wit; Hasan Garan; James Coromilas
Journal:  Heart Rhythm       Date:  2008-10-15       Impact factor: 6.343

9.  Real-time dominant frequency mapping and ablation of dominant frequency sites in atrial fibrillation with left-to-right frequency gradients predicts long-term maintenance of sinus rhythm.

Authors:  Felipe Atienza; Jesús Almendral; José Jalife; Sharon Zlochiver; Robert Ploutz-Snyder; Esteban G Torrecilla; Angel Arenal; Jérôme Kalifa; Francisco Fernández-Avilés; Omer Berenfeld
Journal:  Heart Rhythm       Date:  2008-10-22       Impact factor: 6.343

10.  Spectral profiles of complex fractionated atrial electrograms are different in longstanding and acute onset atrial fibrillation atrial electrogram spectra.

Authors:  Edward J Ciaccio; Angelo B Biviano; William Whang; Alok Gambhir; Hasan Garan
Journal:  J Cardiovasc Electrophysiol       Date:  2012-05-11
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  1 in total

1.  Frequency Gradient Within Coronary Sinus Predicts the Long-Term Outcome of Persistent Atrial Fibrillation Catheter Ablation.

Authors:  Xiaomeng Yin; Ziming Zhao; Lianjun Gao; Dong Chang; Xianjie Xiao; Rongfeng Zhang; Qi Chen; Jie Cheng; Yanzong Yang; Yutao Xi; Yunlong Xia
Journal:  J Am Heart Assoc       Date:  2017-03-02       Impact factor: 5.501

  1 in total

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