ArticleThe Journal of innovations in cardiac rhythm management2026
Evaluation and Classification of Atrial Arrhythmias from Signatures in Electrographic Flow Metrics.
Article in The Journal of innovations in cardiac rhythm management, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
In patients undergoing atrial fibrillation (AF) ablation, it can be difficult at times to distinguish between AF, micro-re-entrant atrial flutters (AFLs), and focal atrial tachycardias (ATs). Understanding the mechanism of arrhythmogenesis can guide ablation lesion sets. Electrographic flow (EGF) mapping displays global atrial wavefront propagations in near-real time. Patterns of EGF can show both regions of stable flow direction over time and disorganized electrical wavefronts. In so doing, it can differentiate mechanisms of arrhythmogenesis. The objective of this study was to evaluate the EGF patterns and metrics that may be used to successfully differentiate mechanisms of arrhythmogenesis. A total of 2933 recordings from 151 patients who underwent EGF mapping were analyzed to determine metrics that could distinguish between mechanisms of arrhythmogenesis. These EGF-derived metrics include: (1) electrographic flow consistency (EGFC), (2) flow angle variability (FAV), (3) source activity, (4) atrial cycle length, (5) mean R-R correlation, and (6) disorganization score. The disorganization score varied the most between AF and AFL or AT (
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