Literature DB >> 15333085

Atrial fibrillatory wave characteristics on surface electrogram: ECG to ECG repeatability over twenty-four hours in clinically stable patients.

Qin Xi1, Alan V Sahakian, Jason Ng, Steven Swiryn.   

Abstract

INTRODUCTION: Fibrillatory waves on the surface ECG have been scrutinized to allow inferences about underlying mechanisms and pathophysiology, based on the premise that fibrillatory waves do not vary "randomly" but provide a consistent reflection of the underlying state of the atria in an individual patient. This premise is untested. METHODS AND
RESULTS: Ten standard ECGs were recorded over a 24-hour period in each of 20 clinically stable inpatients with atrial fibrillation. After QRS-T cancellation, the remainder fibrillatory waves were analyzed. Interpatient versus intrapatient differences in fibrillatory wave characteristics were evaluated by analysis of variance (ANOVA). The fibrillatory wave peak-to-peak amplitude of all the patients ranged from 0.06 to 0.35 mV, whereas 1 SD of the amplitude for each patient ranged from 0.004 to 0.053 mV. Short-term peak frequencies of all the patients ranged from 4.6 to 8.0 Hz, whereas 1 SD for each patient varied from 0.2 to 0.5 Hz. For these and all other parameters tested, interpatient differences were significantly greater compared to intrapatient differences (P < 0.0001).
CONCLUSION: Fibrillatory wave characteristics are repeatable from ECG to ECG over 24 hours for clinically stable patients, whereas substantial differences are present between patients. Further study of the relationship of such characteristics to pathophysiology and management decisions is valid and warranted.

Entities:  

Mesh:

Year:  2004        PMID: 15333085     DOI: 10.1046/j.1540-8167.2004.03577.x

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


  12 in total

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3.  Clinical value of fibrillatory wave amplitude on surface ECG in patients with persistent atrial fibrillation.

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Journal:  J Interv Card Electrophysiol       Date:  2009-04-30       Impact factor: 1.900

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

Authors:  Zhongwei Cheng; Hua Deng; Kang'an Cheng; Taibo Chen; Peng Gao; Min Yu; Quan Fang
Journal:  Ann Noninvasive Electrocardiol       Date:  2013-01-20       Impact factor: 1.468

5.  Panoramic electrophysiological mapping but not electrogram morphology identifies stable sources for human atrial fibrillation: stable atrial fibrillation rotors and focal sources relate poorly to fractionated electrograms.

Authors:  Sanjiv M Narayan; Kalyanam Shivkumar; David E Krummen; John M Miller; Wouter-Jan Rappel
Journal:  Circ Arrhythm Electrophysiol       Date:  2013-02-07

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7.  Targeting Stable Rotors to Treat Atrial Fibrillation.

Authors:  Sanjiv M Narayan; David E Krummen
Journal:  Arrhythm Electrophysiol Rev       Date:  2012-09

8.  Electrocardiographic measurements of regional atrial fibrillation cycle length.

Authors:  Krishna C Ravi; David E Krummen; Ailinh J Tran; John R Bullinga; Sanjiv M Narayan
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9.  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

Review 10.  Temporal and Spatial Indices of AF Regularization Predict Intraprocedural AF Termination and Outcome.

Authors:  Tina Baykaner; David E Krummen; Sanjiv M Narayan
Journal:  J Atr Fibrillation       Date:  2012-04-14
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