Literature DB >> 12950543

Quantifying intracardiac organization of atrial arrhythmias using temporospatial phase of the electrocardiogram.

Sanjiv M Narayan1, Gregory K Feld, Alborz Hassankhani, Valmik Bhargava.   

Abstract

INTRODUCTION: Separating nonisthmus-dependent atrial flutter (AFL) from "organized" atrial fibrillation (AF), or isthmus-dependent AFL, may be difficult using ECG characteristics alone. We hypothesized that temporal and spatial phase analysis of ECG atrial waveforms could effectively separate these rhythms by quantifying subtle variations in ECG atrial activation during supraventricular tachycardias (SVT). METHODS AND
RESULTS: We studied 52 patients at electrophysiologic study (EPS) who demonstrated isthmus-dependent (n = 15) and nonisthmus-dependent (n = 9) AFL, atrial tachycardia (n = 6), AV nodal reentry (n = 9), orthodromic reciprocating tachycardia (n = 6), and AF (n = 7). Atrial activity was represented as a series of correlations of an atrial template to successive time samples of the arrhythmia ECG. Spatial phase was analyzed as a reproducible relationship of this atrial activity between leads over time; temporal regularity was measured from power spectra. Spatial phase was maintained (coherent) in lead planes V5/aVF (XY), V5/V1 (XZ), and aVF/V1 (YZ) in 15 of 15 cases of isthmus-dependent AFL, but in only 1 of 9 cases of nonisthmus-dependent AFL (P < 0.01; chi2). Temporally, all cases of AFL showed one dominant peak on correlation spectra (magnitude >6 dB), suggesting one activation wavefront, although this was smeared in nonisthmus-dependent cases. In contrast, AF showed inconsistent spatial phase in all planes and broad band spectra, consistent with multiple and/or variable activation paths. All other SVTs showed spatial coherence and one dominant spectral peak.
CONCLUSION: Coherence of temporal and spatial phase is a powerful approach to measure the spatial organization of intracardiac activation from the ECG that reveals a spectrum from SVT to isthmus-dependent and nonisthmus-dependent AFL, to AF.

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Mesh:

Year:  2003        PMID: 12950543     DOI: 10.1046/j.1540-8167.2003.03213.x

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


  3 in total

1.  Accurate ECG diagnosis of atrial tachyarrhythmias using quantitative analysis: a prospective diagnostic and cost-effectiveness study.

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

2.  Atrial Tachycardias After Atrial Fibrillation Ablation Manifest Different Waveform Characteristics: Implications for Characterizing Tachycardias.

Authors:  Angelo B Biviano; Edward J Ciaccio; Jessica Fleitman; Robert Knotts; John Lawrence; Norrisa Haynes; Nicole Cyrille; Kathleen Hickey; Vivek Iyer; Elaine Wan; William Whang; Hasan Garan
Journal:  J Cardiovasc Electrophysiol       Date:  2015-09-13

3.  Electrocardiographic spatial loops indicate organization of atrial fibrillation minutes before ablation-related transitions to atrial tachycardia.

Authors:  Tina Baykaner; Rishi Trikha; Junaid A B Zaman; David E Krummen; Paul J Wang; Sanjiv M Narayan
Journal:  J Electrocardiol       Date:  2017-01-15       Impact factor: 1.438

  3 in total

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