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. 2022 Jun 30;9:879139. doi: 10.3389/fcvm.2022.879139

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Copyright © 2022 Verhaert, Linz, Chaldoupi, Westra, den Uijl, Philippens, Kerperien, Habibi, Vorstermans, ter Bekke, Beukema, Evertz, Hemels, Luermans, Manusama, Lankveld, van der Heijden, Bidar, Hermans, Zeemering, Bijvoet, Habets, Holtackers, Mihl, Nijveldt, van Empel, Knackstedt, Simons, Buhre, Tijssen, Isaacs, Crijns, Maesen, Vernooy and Schotten.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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The 6 domains of interest in which predictors for successful atrial fibrillation ablation are sought: (1) clinical risk factors, (2) pre-procedural AF patterns, (3) anatomical characteristics, (4) electrophysiological characteristics, (5) circulating biomarkers, and (6) genetic background. AF, atrial fibrillation; CT, computed tomography; ECG, electrocardiogram; MRI, magnetic resonance imaging. Study procedures with an asterisk are conducted for a subset of patients.