Key result
Isthmus-dependent atrial flutter exhibits ~9-fold greater ECG spatial phase coherence than nonisthmus-dependent cases.
Why the study?
Separating nonisthmus-dependent AFL from organized AF or isthmus-dependent AFL using ECG characteristics alone is difficult.
Does temporal and spatial phase analysis of ECG atrial waveforms effectively separate different types of supraventricular tachycardias?
Observational (n=52)
Does temporal and spatial phase analysis of ECG atrial waveforms effectively separate different types of supraventricular tachycardias?
Absolute Event Rate: 100% vs 11.1%
p-value: p=<0.01
Temporal and spatial phase analysis of the ECG can effectively measure the spatial organization of intracardiac activation, distinguishing between isthmus-dependent and nonisthmus-dependent atrial flutter and atrial fibrillation.
May aid noninvasive flutter subtyping on ECG; leaves open prospective validation in broader SVT cohorts.
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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Narayan et al. (2003) conducted an observational in Supraventricular tachycardias (n=52). Isthmus-dependent atrial flutter vs. Nonisthmus-dependent atrial flutter was evaluated on Maintenance of spatial phase (coherence) in lead planes V5/aVF, V5/V1, and aVF/V1 (p=<0.01). Spatial phase coherence on ECG was maintained in 100% of isthmus-dependent atrial flutter cases compared to 11.1% of nonisthmus-dependent cases (P<0.01).
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