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Early diagnosis and better rhythm management to improve outcomes in patients with atrial fibrillation: the 8th AFNET/EHRA consensus conference

Schnabel, Renate B.; Andreassi Marinelli, Elena; Arbelo, Elena; Guiseppe, Boriani; Boveda, Serge; Buckley, Claire; Camm, A. John; Casadei, Barbara; Diederichsen, S?ren; Chua, Winnie; Dagres, Nikolaos; de Melis, Mirko; Desteghe, Lien; Diederichsen, S?ren Z?ga; Duncker, David; Eckardt, Lars; Eisert, Christoph; Engler, Daniel; Fabritz, Larissa; Freedman, Ben; Gillet, Ludovic; G?tte, Andreas; Guasch, Eduard; Hastrup Svendsen, Jesper; Hatem, St?phane; H?usler, Karl Georg; Healey, Jeff S.; Heidb?chel, Hein; Hindricks, Gerhard; Hobbs, Richard; H?bner, Thomas; Kotecha, Dipak; Krekler, Michael; Leclercq, Christophe; Lewalter, Thorsten; Lin, Honghuang; Linz, Dominik; Lip, Gregory Y. H; L?chen, Maja-Lisa; Lucassen, Wim; Malaczynska-Rajpold, Katarzyna; Massberg, Steffen; Merino, Jos? L.; Meyer, Ralf; Mont, Lluis; Myers, Michael; Neubeck, Lis; Niiranen, Temu; Oeff, Michael; Oldgren, Jonas; Potpara, Tatjana S.; Psaroudakis, Georg; P?rerfellner, Helmut; Ravens, Ursula; Rienstra, Michiel; Rivard, Len...


Renate B. Schnabel

Elena Andreassi Marinelli

Elena Arbelo

Boriani Guiseppe

Serge Boveda

Claire Buckley

A. John Camm

Barbara Casadei

S�ren Diederichsen

Winnie Chua

Nikolaos Dagres

Mirko de Melis

Lien Desteghe

S�ren Z�ga Diederichsen

David Duncker

Lars Eckardt

Christoph Eisert

Daniel Engler

Larissa Fabritz

Ben Freedman

Ludovic Gillet

Andreas G�tte

Eduard Guasch

Jesper Hastrup Svendsen

St�phane Hatem

Karl Georg H�usler

Jeff S. Healey

Hein Heidb�chel

Gerhard Hindricks

Richard Hobbs

Thomas H�bner

Dipak Kotecha

Michael Krekler

Christophe Leclercq

Thorsten Lewalter

Honghuang Lin

Dominik Linz

Gregory Y. H Lip

Maja-Lisa L�chen

Wim Lucassen

Katarzyna Malaczynska-Rajpold

Steffen Massberg

Jos� L. Merino

Ralf Meyer

Lluis Mont

Michael Myers

Temu Niiranen

Michael Oeff

Jonas Oldgren

Tatjana S. Potpara

Georg Psaroudakis

Helmut P�rerfellner

Ursula Ravens

Michiel Rienstra

Lena Rivard

Daniel Scherr

Ulrich Schotten

Dipen Shah

Moritz F. Sinner

R�diger Smolnik

Gerhard Steinbeck

Daniel Steven

Emma Svennberg

Dierk Thomas

Mellanie True Hills

Isabelle C. van Gelder

Burcu Vardar

Elena Vila Pala

Reza Wakili

Karl Wegscheider

Mattias Wieloch

Stephan Willems

Henning Witt

Andr� Ziegler

Matthias Zink

Paulus Kirchhof


Despite marked progress in the management of atrial fibrillation (AF), detecting AF remains difficult and AF-related complications cause unacceptable morbidity and mortality even on optimal current therapy. This document summarizes the key outcomes of the 8th AFNET/EHRA Consensus Conference of the Atrial Fibrillation NETwork (AFNET) and the European Heart Rhythm Association (EHRA). Eighty-three international experts met in Hamburg for 2 days in October 2021. Results of the interdisciplinary, hybrid discussions in breakout groups and the plenary based on recently published and unpublished observations are summarized in this consensus paper to support improved care for patients with AF by guiding prevention, individualized management, and research strategies. The main outcomes are (i) new evidence supports a simple, scalable, and pragmatic population-based AF screening pathway; (ii) rhythm management is evolving from therapy aimed at improving symptoms to an integrated domain in the prevention of AF-related outcomes, especially in patients with recently diagnosed AF; (iii) improved characterization of atrial cardiomyopathy may help to identify patients in need for therapy; (iv) standardized assessment of cognitive function in patients with AF could lead to improvement in patient outcomes; and (v) artificial intelligence (AI) can support all of the above aims, but requires advanced interdisciplinary knowledge and collaboration as well as a better medico-legal framework. Implementation of new evidence-based approaches to AF screening and rhythm management can improve outcomes in patients with AF. Additional benefits are possible with further efforts to identify and target atrial cardiomyopathy and cognitive impairment, which can be facilitated by AI.

Journal Article Type Article
Acceptance Date Apr 11, 2022
Online Publication Date Jul 27, 2022
Publication Date 2023-01
Deposit Date Apr 14, 2022
Publicly Available Date Feb 15, 2023
Print ISSN 1099-5129
Electronic ISSN 1532-2092
Publisher Oxford University Press
Peer Reviewed Peer Reviewed
Volume 25
Issue 1
Pages 6-27
Keywords Atrial fibrillation, Artificial intelligence, Heart failure, Atrial cardiomyopathy, Cognitive function, Dementia, Outcomes, Quality of care, Cost, Research, Rhythm management, Catheter ablation, Anticoagulation, Bleeding, Research priorities, Technology,
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