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

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

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

Camm A. John
Kotecha Dipak
Massberg Steffen
Marinelli Elena Andreassi
Pürerfellner Helmut
Buckley Claire M.
Goette Andreas
Steinbeck Gerhard
Svennberg Emma
Wieloch Mattias
Casadei Barbara
de Melis Mirko
Neubeck Lis
Thomas Dierk
van Gelder Isabelle C.
Witt Henning
Boveda Serge
Arbelo Elena
Lin Honghuang
Vardar Burcu
Hindricks Gerhard
Chua Winnie
Diederichsen Søren Zöga
Eisert Christoph
Eckardt Lars
Malaczynska-Rajpold Katarzyna
Lucassen Wim
Wegscheider Karl
Lip Gregory Y.H.
Svendsen Jesper Hastrup
Gillet Ludovic
Krekler Michael
Sinner Moritz F.
Ravens Ursula
Potpara Tatjana S.
Boriani Giuseppe
Rienstra Michiel
Steven Daniel
Løchen Maja-Lisa
Haeusler Karl Georg
Mont Lluis
Freedman Ben
Oeff Michael
Desteghe Lien
Hatem Stéphane N.
Heidbuchel Hein
Guasch Eduard
Dagres Nikolaos
Hübner Thomas
Fabritz Larissa
Wakili Reza
Linz Dominik
Scherr Daniel
Smolnik Rüdiger
Hobbs F.D. Richard
Zink Matthias Daniel
Palà Elena
Lewalter Thorsten
Duncker David
Schotten Ulrich
Leclercq Christophe
Healey Jeff S.
Myers Michael C.
Willems Stephan
Psaroudakis George
Niiranen Teemu
Ziegler André
Meyer Ralf
Kirchhof Paulus
Engler Daniel
Shah Dipen
Schnabel Renate B.
Merino Jose L.
Hills Mellanie True
Rivard Lena
Oldgren Jonas
Katso/Avaa
NiiranenEtAl2022EarlyDiagnosisAndBetterRhythm.pdf (721.8Kb)
Lataukset: 

OXFORD UNIV PRESS
doi:10.1093/europace/euac062
URI
https://academic.oup.com/europace/advance-article/doi/10.1093/europace/euac062/6650662
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Julkaisun pysyvä osoite on:
https://urn.fi/URN:NBN:fi-fe2022102462985
Tiivistelmä

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.

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