Atrial fibrillation phenotypes derived from multimodal data exhibit distinct electrophysiological substrate characteristics, symptom trajectories, and ablation outcomes
Year: 2026
Type: article
Study design: Observational Study
Abstract: Aims The heterogeneity in response to catheter ablation amongst atrial fibrillation (AF) patients classified according to arrhythmia duration highlights the need for improved phenotyping. Multimodal assessment may better characterize the spectrum of pathophysiology present amongst patients classified as having paroxysmal or persistent AF. This study aimed to perform comprehensive multimodal pre-ablation phenotyping in patients undergoing AF ablation and evaluate associations with post-ablation arrhythmia recurrence, symptom burden, and bi-atrial substrate remodelling. Methods and results In this multicentre prospective cohort study, 86 patients referred for first-time AF ablation (42% persistent AF) underwent pre-ablation phenotyping beyond usual care, incorporating patch-based ambulatory rhythm monitoring, atrial structural and functional MRI assessment, and formal symptom evaluation. Unsupervised K-means clustering was used to derive phenotypes. The primary outcome was 12-month arrhythmia recurrence; secondary analyses assessed symptom trajectories and bi-atrial substrate characteristics. Four AF phenotypes were identified. Arrhythmia recurrence occurred in 56.0%, 42.9%, 22.2%, and 19.0% of patients in Phenotypes 1–4, respectively (log-rank P = 0.032). Symptom trajectories differed across phenotypes, with the greatest improvements observed in Phenotypes 3 and 4. Exploratory electroanatomic mapping analyses demonstrated significant between-phenotype differences in bi-atrial bipolar voltage aligned with clinical trajectories. Importantly, phenotypes were not fully explained by conventional classification: Phenotype 2 experienced relatively high recurrence despite comprising predominantly paroxysmal AF patients whilst Phenotype 3 demonstrated favourable outcomes despite a high prevalence of persistent AF. Conclusion Multimodal phenotyping identified distinct AF subgroups associated with differences in post-ablation recurrence, symptom trajectories, and electrophysiological substrate. This approach could improve pre-ablation risk stratification and shared decision-making. Registration ClinicalTrials.gov Identifier: NCT05057507
Source: European Heart Journal Open
Authors: Neil Bodagh, Vinush Vigneswaran, Ali Gharaviri, Irum Kotadia, Magda Klis, Nilanka N Mannakkara, Kestutis Maciunas, Arno Von Kietzell, Megan Bell, Hayley Cuthbert, Matthew Wright, John Whitaker, Christopher A Rinaldi, Anoop Shetty, Shaumik Adhya, Gurpreet Dhillon, Roy Jogiya, Una Buckley, David Jones, Zhong Chen, Amedeo Chiribiri, Neil R Grubb, Chris Lang, Cesario Pancinha, Michelle C Williams, Steven Niederer, Shouvik Haldar, Mark O’Neill, Steven E Williams
Language: English
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,673
Funders: Abbott Laboratories, Israel Cancer Research Fund, Wellcome Trust, National Institute for Health and Care Research, British Heart Foundation, Department of Health and Social Care, Heart Research UK, Abbott Diagnostics, Medical Research Council, Engineering and Physical Sciences Research Council, Health Research Council of New Zealand, NIHR Sheffield Clinical Research Facility, Centre For Medical Engineering, King’s College London
OpenAlex ID: W7214623146
