Literature DB >> 15851236

Relationship between pattern of occurrence of atrial fibrillation and surface electrocardiographic fibrillatory wave characteristics.

Qin Xi1, Alan V Sahakian, Thomas G Frohlich, Jason Ng, Steven Swiryn.   

Abstract

OBJECTIVES: The purpose of this study was to assess whether surface ECG fibrillatory (f)-wave characteristics reflect clinical variables, especially pattern of occurrence.
BACKGROUND: In clinically stable patients, f waves have fairly constant quantitative characteristics. Both electrophysiologic and structural remodeling might modify f waves.
METHODS: We analyzed f waves from 238 patients (120 men and 118 women; age range 30-97 years, mean 77 +/- 12) with atrial fibrillation identified by retrospective chart review as paroxysmal, persistent, or permanent fibrillation. Analysis was performed in the time and frequency domains on ECGs after QRS-T cancellation. Student's t-test and multivariate analysis were used for comparison.
RESULTS: The f waves of 12 patients taking rhythm control drugs had lower frequency ("slower" fibrillation) than the f waves of patients not taking such drugs (5.3 +/- 0.6 vs 6.0 +/- 0.7 Hz, P < .001). Of the 226 remaining patients, 59 were paroxysmal, 30 were persistent, and 72 were permanent; 65 had an unknown pattern. Paroxysmal and persistent patients were younger than permanent (74 +/- 12 and 72 +/- 15 vs 80 +/- 9 years, P < .002 for both). Paroxysmal, persistent, and permanent patients had different f-wave frequencies of 5.7 +/- 0.7, 6.1 +/- 0.8, and 6.2 +/- 0.6 Hz, respectively (P = .01 for paroxysmal vs persistent and P < .001 for paroxysmal vs permanent). Patients older than 77 years (mean age) had lower f wave frequency than those younger 77 years (6.0 +/- 0.7 vs 6.2 +/- 0.7 Hz, P = .01). Using multivariate analysis, the overall pattern-frequency relationship was significant (p = .014). There was a statistically significant inverse correlation between frequency and age (R = .27, slope = -0.017 Hz/year, P < .001).
CONCLUSIONS: ECG f-wave frequency reflects specific clinical variables, with higher frequency in permanent than paroxysmal fibrillation but lower frequency in older than younger patients. These findings are consistent with the idea that fibrillatory waves are modified by both electrophysiologic and structural remodeling.

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Year:  2004        PMID: 15851236     DOI: 10.1016/j.hrthm.2004.09.010

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


  10 in total

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Authors:  Hemantha Koduri; Jason Ng; Ivan Cokic; Gary L Aistrup; David Gordon; J Andrew Wasserstrom; Alan H Kadish; Richard Lee; Rod Passman; Bradley P Knight; Jeffrey J Goldberger; Rishi Arora
Journal:  Circ Arrhythm Electrophysiol       Date:  2012-06-21

2.  A low fibrillatory wave amplitude predicts sinus node dysfunction after catheter ablation in patients with persistent atrial fibrillation.

Authors:  Akihiro Sunaga; Masaharu Masuda; Takashi Kanda; Masashi Fujita; Osamu Iida; Shin Okamoto; Takayuki Ishihara; Yasuhiro Matsuda; Tetsuya Watanabe; Yasushi Sakata; Masaaki Uematsu
Journal:  J Interv Card Electrophysiol       Date:  2015-05-24       Impact factor: 1.900

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Authors:  David E Krummen; Mitul Patel; Hong Nguyen; Gordon Ho; Dhruv S Kazi; Paul Clopton; Marian C Holland; Scott L Greenberg; Gregory K Feld; Mitchell N Faddis; Sanjiv M Narayan
Journal:  J Cardiovasc Electrophysiol       Date:  2010-11

Review 4.  Challenges in the classification of atrial fibrillation.

Authors:  Steven A Lubitz; Emelia J Benjamin; Jeremy N Ruskin; Valentin Fuster; Patrick T Ellinor
Journal:  Nat Rev Cardiol       Date:  2010-06-22       Impact factor: 32.419

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Journal:  Ann Noninvasive Electrocardiol       Date:  2018-03-05       Impact factor: 1.468

Review 6.  Left Atrial Cardiomyopathy - A Challenging Diagnosis.

Authors:  Fabienne Kreimer; Michael Gotzmann
Journal:  Front Cardiovasc Med       Date:  2022-06-30

7.  The amplitude of fibrillatory waves on leads aVF and V1 predicting the recurrence of persistent atrial fibrillation patients who underwent catheter ablation.

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Journal:  Ann Noninvasive Electrocardiol       Date:  2013-01-20       Impact factor: 1.468

8.  A genotype-dependent intermediate ECG phenotype in patients with persistent lone atrial fibrillation genotype ECG-phenotype correlation in atrial fibrillation.

Authors:  Daniela Husser; Martin Stridh; Leif Sörnmo; Dan M Roden; Dawood Darbar; Andreas Bollmann
Journal:  Circ Arrhythm Electrophysiol       Date:  2009-02

9.  Constitutive Expression of a Dominant-Negative TGF-β Type II Receptor in the Posterior Left Atrium Leads to Beneficial Remodeling of Atrial Fibrillation Substrate.

Authors:  Aaron Kunamalla; Jason Ng; Vamsi Parini; Shin Yoo; Kate A McGee; Todd T Tomson; David Gordon; Edward B Thorp; Jon Lomasney; Qiang Zhang; Sanjiv Shah; Suzanne Browne; Bradley P Knight; Rod Passman; Jeffrey J Goldberger; Gary Aistrup; Rishi Arora
Journal:  Circ Res       Date:  2016-05-23       Impact factor: 17.367

10.  Early differentiation of long-standing persistent atrial fibrillation using the characteristics of fibrillatory waves in surface ECG multi-leads.

Authors:  Junbeom Park; Chungkeun Lee; Eran Leshem; Ira Blau; Sungsoo Kim; Jung Myung Lee; Jung-A Hwang; Byung-Il Choi; Moon-Hyoung Lee; Hye Jin Hwang
Journal:  Sci Rep       Date:  2019-02-26       Impact factor: 4.379

  10 in total

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