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

Research output: Contribution to journalJournal articlepeer-review

  • Renate B. Schnabel
  • Elena Andreassi Marinelli
  • Elena Arbelo
  • Giuseppe Boriani
  • Serge Boveda
  • Claire M. Buckley
  • A. John Camm
  • Barbara Casadei
  • Winnie Chua
  • Nikolaos Dagres
  • Mirko de Melis
  • Lien Desteghe
  • Soren Zoga Diederichsen
  • David Duncker
  • Lars Eckardt
  • Christoph Eisert
  • Daniel Engler
  • Larissa Fabritz
  • Ben Freedman
  • Ludovic Gillet
  • Andreas Goette
  • Eduard Guasch
  • Stephane N. Hatem
  • Karl Georg Haeusler
  • Jeff S. Healey
  • Hein Heidbuchel
  • Gerhard Hindricks
  • F. D. Richard Hobbs
  • Thomas Huebner
  • Dipak Kotecha
  • Michael Krekler
  • Christophe Leclercq
  • Thorsten Lewalter
  • Honghuang Lin
  • Gregory Y. H. Lip
  • Maja Lisa Lochen
  • Wim Lucassen
  • Katarzyna Malaczynska-Rajpold
  • Steffen Massberg
  • Jose L. Merino
  • Ralf Meyer
  • Lluis Mont
  • Michael C. Myers
  • Lis Neubeck
  • Teemu Niiranen
  • Michael Oeff
  • Jonas Oldgren
  • Tatjana S. Potpara
  • George Psaroudakis
  • Helmut Purerfellner
  • Ursula Ravens
  • Michiel Rienstra
  • Lena Rivard
  • Daniel Scherr
  • Ulrich Schotten
  • Dipen Shah
  • Moritz F. Sinner
  • Rudiger Smolnik
  • Gerhard Steinbeck
  • Daniel Steven
  • Emma Svennberg
  • Dierk Thomas
  • Mellanie True Hills
  • Isabelle C. van Gelder
  • Burcu Vardar
  • Elena Pala
  • Reza Wakili
  • Karl Wegscheider
  • Mattias Wieloch
  • Stephan Willems
  • Henning Witt
  • Andre Ziegler
  • Matthias Daniel Zink
  • Paulus Kirchhof

Aims 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. Methods and results 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Results of the interdisciplinary, hybrid discussions in breakout groups and the plenary based on recently published and unpublished observations are summarized in this consensus paper to support improved care for patients with AF by guiding prevention, individualized management, and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. Conclusions 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.

Original languageEnglish
Number of pages22
Publication statusE-pub ahead of print - 2023

    Research areas

  • 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, Stroke, Integrated care, Screening, AFNET, EHRA, Guidelines, Consensus statement, QUALITY-OF-LIFE, EHRA/HRS/APHRS/SOLAECE EXPERT CONSENSUS, PULMONARY VEIN ISOLATION, CATHETER ABLATION, MAGNETIC-RESONANCE, ORAL ANTICOAGULANTS, FOLLOW-UP, CARDIOMYOPATHIES DEFINITION, CARDIOVASCULAR EVENTS, RISK PREDICTION

ID: 316690156