Rationale and Design of the ISOLATION Study: A Multicenter Prospective Cohort Study Identifying Predictors for Successful Atrial Fibrillation Ablation in an Integrated Clinical Care and Research Pathway.
atrial fibrillation
atrial fibrillation ablation
catheter ablation
prediction model
pulmonary vein isolation
study design
translational research
Journal
Frontiers in cardiovascular medicine
ISSN: 2297-055X
Titre abrégé: Front Cardiovasc Med
Pays: Switzerland
ID NLM: 101653388
Informations de publication
Date de publication:
2022
2022
Historique:
received:
18
02
2022
accepted:
08
06
2022
entrez:
26
7
2022
pubmed:
27
7
2022
medline:
27
7
2022
Statut:
epublish
Résumé
Continuous progress in atrial fibrillation (AF) ablation techniques has led to an increasing number of procedures with improved outcome. However, about 30-50% of patients still experience recurrences within 1 year after their ablation. Comprehensive translational research approaches integrated in clinical care pathways may improve our understanding of the complex pathophysiology of AF and improve patient selection for AF ablation. Within the "IntenSive mOlecular and eLectropathological chAracterization of patienTs undergoIng atrial fibrillatiOn ablatioN" (ISOLATION) study, we aim to identify predictors of successful AF ablation in the following domains: (1) clinical factors, (2) AF patterns, (3) anatomical characteristics, (4) electrophysiological characteristics, (5) circulating biomarkers, and (6) genetic background. Herein, the design of the ISOLATION study and the integration of all study procedures into a standardized pathway for patients undergoing AF ablation are described. ISOLATION (NCT04342312) is a two-center prospective cohort study including 650 patients undergoing AF ablation. Clinical characteristics and routine clinical test results will be collected, as well as results from the following additional diagnostics: determination of body composition, pre-procedural rhythm monitoring, extended surface electrocardiogram, biomarker testing, genetic analysis, and questionnaires. A multimodality model including a combination of established predictors and novel techniques will be developed to predict ablation success. In this study, several domains will be examined to identify predictors of successful AF ablation. The results may be used to improve patient selection for invasive AF management and to tailor treatment decisions to individual patients.
Identifiants
pubmed: 35879962
doi: 10.3389/fcvm.2022.879139
pmc: PMC9307503
doi:
Types de publication
Journal Article
Langues
eng
Pagination
879139Informations de copyright
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.
Déclaration de conflit d'intérêts
CM received consultancy fees for Bayer Healthcare. SS received grants from Boehringer Ingelheim, AstraZeneca and GlaxoSmithKline, honorary fees for presentations from AstraZeneca and Chiesi, consultancy fees from GlaxoSmithKline, payment for advisory boards from Chiesi and GlaxoSmithKline, all outside the submitted work, and payed to his institution. KV was consultant for Medtronic, Abbott, Philips, Biosense Webster. US received consultancy fees or honoraria from Università della Svizzera Italiana (USI, Switzerland), Roche Diagnostics (Switzerland), EP Solutions Inc. (Switzerland), Johnson & Johnson Medical Limited (United Kingdom), Bayer Healthcare (Germany). US was co-founder and shareholder of YourRhythmics BV, a spin-off company of the University Maastricht. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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