ArticleJournal of cardiovascular electrophysiology2021
Functional electrographic flow patterns in patients with persistent atrial fibrillation predict outcome of catheter ablation.
Article in Journal of cardiovascular electrophysiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 16 citations in OpenAlex.
- Evaluation and Classification of Atrial Arrhythmias from Signatures in Electrographic Flow Metrics.The Journal of innovations in cardiac rhythm management · 2026Article
- Statistics and behavior of clinically significant extra-pulmonary vein atrial fibrillation sources: machine-learning-enhanced electrographic flow mapping in persistent atrial fibrillation.Frontiers in cardiovascular medicine · 2025Article
- Mechanistic Insights From Trials of Atrial Fibrillation Ablation: Charting a Course for the Future.Circulation. Arrhythmia and electrophysiology · 2024Review
- Electrographic flow mapping of persistent atrial fibrillation: intra- and inter-procedure reproducibility in the absence of 'ground truth'.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2023Article
- Electrographic flow mapping for atrial fibrillation: theoretical basis and preliminary observations.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2023Review
- Electrographic flow-guided ablation in redo patients with persistent atrial fibrillation (FLOW-AF): design and rationale.Heart rhythm O2 · 2023Article
- Visualization of electrographic flow fields of increasing complexity and detection of simulated sources during spontaneously persistent AF in an animal model.Frontiers in cardiovascular medicine · 2023Article
- [New mapping tools for catheter ablation of atrial fibrillation].Herzschrittmachertherapie & Elektrophysiologie · 2022Review
- Artificial intelligence software standardizes electrogram-based ablation outcome for persistent atrial fibrillation.Journal of cardiovascular electrophysiology · 2022Article
- Left atrial anatomical variations correlate with atrial fibrillation sources near the left atrial ridge.Frontiers in cardiovascular medicine · 2022Article
- Functional electrographic flow patterns in patients with persistent atrial fibrillation predict outcome of catheter ablation.Journal of cardiovascular electrophysiology · 2021Article
Corrections and comments
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Authors and funding
11 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsElectrographic flow (EGF) mapping is a method to detect action potential sources within the atria. In a double-blinded retrospective study we evaluated whether sources detected by EGF are related to procedural outcome.
methodsEGF maps were retrospectively generated using the Ablamap® software from unipolar data recorded with a 64-pole basket catheter from patients who previously underwent focal impulse and rotor modulation-guided ablation. We analyzed patient outcomes based on source activity (SAC) and variability. Freedom from atrial fibrillation (AF) was defined as no recurrence of AF, atypical flutter or atrial tachycardia at the follow-up visits.
resultsEGF maps were from 123 atria in 64 patients with persistent or long-standing persistent AF. Procedural outcome correlation with SAC peaked at >26%. S-type EGF signature (source-dependent AF) is characterized by stable sources with SAC > 26% and C-type (source-independent AF) is characterized by sources with SAC ≤ 26%. Cases with AF recurrence at 3-, 6-, or 12-month follow-up showed a median final SAC 34%; while AF-free patients had sources with significantly lower median final SAC 21% (p = .0006). Patients with final SAC and Variability above both thresholds had 94% recurrence, while recurrence was only 36% for patients with leading source SAC and variability below threshold (p = .0001). S-type EGF signature post-ablation was associated with an AF recurrence rate 88.5% versus 38.1% with C-type EGF signature.
conclusionsEGF mapping enables the visualization of active AF sources. Sources with SAC > 26% appear relevant and their presence post-ablation correlates with high rates of AF recurrence.
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