Key result
Automated fractionation mapping achieves ~74% sensitivity identifying autonomic response sites during cardioneuroablation.
Why the study?
Automated electrogram fractionation mapping has been proposed for ganglionated plexus localization in cardioneuroablation, but optimal parameter settings remain undefined.
Does automated electrogram fractionation mapping identify sites of autonomic response during ablation in patients undergoing PVI or cardioneuroablation?
Observational (n=26)
Open-label
No
Does automated electrogram fractionation mapping identify sites of autonomic response during ablation in patients undergoing PVI or cardioneuroablation?
Automated electrogram fractionation mapping with optimized parameters (15 ms width, 25 ms refractoriness, 0.05 mV threshold) can identify sites of autonomic response during cardioneuroablation with moderate sensitivity and specificity.
May identify autonomic sites in cardioneuroablation; hypothesis-generating given small observational cohort.
Background Cardioneuroablation (CNA) targets atrial ganglionated plexuses (GP) to treat vagally mediated bradyarrhythmias. Automated electrogram fractionation mapping has been proposed as a surrogate tool for GP localization, but optimal parameter settings remain undefined. We aimed to systematically evaluate automated fractionation mapping parameters and their association with autonomic responses during ablation. Methods Data from 26 patients were analyzed, including 12 patients undergoing atrial fibrillation (AF) ablation in sinus rhythm and 14 patients undergoing CNA. Using high‐density electroanatomical mapping, three predefined values were tested for each fractionation parameter—signal width, refractoriness, and amplitude threshold—yielding 27 automated configurations. A purely anatomical localization strategy was also evaluated. In the AF cohort, all configurations were systematically assessed, generating 336 fractionation maps and 870 ablation sites. Autonomic response during radiofrequency delivery was defined as an absolute RR interval change > 10%. Selected high‐performing configurations were subsequently evaluated in the CNA cohort (614 ablation sites). Results In the AF cohort, 25 of 27 configurations showed a significant association with autonomic response. After Bonferroni correction, 15 configurations remained significant. The configuration with signal width 15 ms, refractoriness 25 ms, and amplitude threshold 0.05 mV demonstrated the highest sensitivity, although several configurations showed comparable performance. When evaluated in the CNA cohort, this configuration yielded a sensitivity of 74.1% and specificity of 73.9%. Conclusions This pilot study provides a reproducible framework for evaluating automated fractionation mapping parameters associated with autonomic responses during CNA. The findings support biologically plausible parameter–performance relationships and identify parameter ranges potentially suitable for procedural use.
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Uribe et al. (2026) conducted an observational in Atrial fibrillation and vagally mediated bradyarrhythmias (n=26). Automated electrogram fractionation mapping vs. Anatomical localization strategy was evaluated on Autonomic response during radiofrequency delivery (absolute RR interval change > 10%). An automated fractionation mapping configuration with a signal width of 15 ms, refractoriness of 25 ms, and amplitude threshold of 0.05 mV demonstrated a sensitivity of 74.1% and specificity of 73.9% for identifying autonomic responses during cardioneuroablation.
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