Key result
Elimination of EGF-identified sources during AF ablation increased 12-month freedom from AF to 66% compared to 36% when sources were left unablated in PVI-only patients.
Why the study?
Source presence and electrographic flow consistency (EGFC) can assign mechanistic phenotypes in AF, but whether these EGF-based phenotypes and outcomes are consistent across independent prospective cohorts required comparison.
Does electrographic flow mapping-guided ablation and phenotype assessment predict and improve 12-month freedom from AF in patients undergoing AF ablation?
Cohort
Yes
Does electrographic flow mapping-guided ablation and phenotype assessment predict and improve 12-month freedom from AF in patients undergoing AF ablation?
Absolute Event Rate: 66% vs 36%
Electrographic flow mapping and consistency metrics can effectively predict 12-month freedom from AF and guide targeted ablation to improve clinical outcomes.
EGF source ablation was associated with higher AF freedom; hypothesis-generating and requires randomized confirmation before practice change.
Background/Objectives: Electrographic flow (EGF) mapping allows for the visualization and quantification of atrial fibrillation (AF) wavefront propagation patterns. EGF-identified sources were shown in the randomized controlled FLOW-AF trial to significantly increase the likelihood of AF recurrence within 1 year if left unablated. Electrographic flow consistency (EGFC) additionally measures the stability of observed wavefront patterns, such that patients with more organization have a healthier substrate and lower recurrence. Source presence and EGFC can be used collectively to assign mechanistic phenotypes to AF patients. Methods: The patient phenotypes, treatment modalities, and outcomes in FLOW-AF were compared with those of patients in the ensuing AF-FLOW Global Registry, which was conducted by separate physicians at discrete clinical centers. Results: Patients with low EGFC (≤0.62) had a 12-month freedom from AF (FFAF) of 46%, while those with a high mean EGFC (>0.62) had a FFAF of 81%. Right atrial EGFC was correlated with left atrial EGFC, and the highest recurrence occurred in those with biatrial low EGFC. Source presence also affected the recurrence rates in both trials, such that the presence of EGF-identified sources in PVI-only patients lowered the FFAF from 65% to 36%, but the elimination of sources produced a 30% absolute increase in FFAF from 36% to 66%. Conclusions: Patient outcomes by EGF-based AF phenotype were consistent across two cohorts of patients from separate clinical trials at distinct centers. Patients with a high EGFC and no sources post-procedure had the best outcomes. EGF mapping provides insights into underlying disease pathophysiology and may be employed prospectively to predict recurrence.
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Nilsson et al. (2025) conducted a cohort in Atrial fibrillation. Electrographic flow (EGF) mapping-guided source elimination vs. PVI-only with unablated sources was evaluated on 12-month freedom from AF. Elimination of EGF-identified sources during AF ablation increased 12-month freedom from AF to 66% compared to 36% when sources were left unablated in PVI-only patients.
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