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

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

doi:10.1093/europace/euac062

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

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, Søren Zöga Diederichsen, David Duncker, Lars Eckardt, Christoph Eisert, Daniel Engler, Larissa Fabritz, Ben Freedman, Ludovic GilletAndreas Goette, Eduard Guasch, Jesper Hastrup Svendsen, Stéphane N Hatem, Karl Georg Haeusler, Jeff S Healey, Hein Heidbuchel, Gerhard Hindricks, F D Richard Hobbs, Thomas Hübner, Dipak Kotecha, Michael Krekler, Christophe Leclercq, Thorsten Lewalter, Honghuang Lin, Dominik Linz, Gregory Y H Lip, Maja Lisa Løchen, Wim Lucassen, Katarzyna Malaczynska-Rajpold, Steffen Massberg, Jose L Merino, Ralf Meyer, Lluıs Mont, Michael C Myers, Lis Neubeck, Teemu Niiranen, Michael Oeff, Jonas Oldgren, Tatjana S Potpara, George Psaroudakis, Helmut Pürerfellner, Ursula Ravens, Michiel Rienstra, Lena Rivard, Daniel Scherr, Ulrich Schotten, Dipen Shah, Moritz F Sinner, Rüdiger Smolnik, Gerhard Steinbeck, Daniel Steven, Emma Svennberg, Dierk Thomas, Mellanie True Hills, Isabelle C van Gelder, Burcu Vardar, Elena Palà, Reza Wakili, Karl Wegscheider, Mattias Wieloch, Stephan Willems, Henning Witt, André Ziegler, Matthias Daniel Zink, Stephan Willems, Henning Witt, André Ziegler, Matthias Daniel Zink, Paulus Kirchhof^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

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Abstract

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.

Original language	English
Pages (from-to)	6-27
Number of pages	22
Journal	Europace
Volume	25
Issue number	1
Early online date	27 Jul 2022
DOIs	https://doi.org/10.1093/europace/euac062
Publication status	Published - Jan 2023

Bibliographical note

Keywords

Humans
Atrial Fibrillation/complications
Artificial Intelligence
Early Diagnosis
Consensus
Cognition
Stroke/prevention & control

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Schnabel, R. B., Marinelli, E. A., Arbelo, E., Boriani, G., Boveda, S., Buckley, C. M., Camm, A. J., Casadei, B., Chua, W., Dagres, N., de Melis, M., Desteghe, L., Diederichsen, S. Z., Duncker, D., Eckardt, L., Eisert, C., Engler, D., Fabritz, L., Freedman, B., ... Kirchhof, P. (2023). Early diagnosis and better rhythm management to improve outcomes in patients with atrial fibrillation: the 8th AFNET/EHRA consensus conference. Europace, 25(1), 6-27. https://doi.org/10.1093/europace/euac062

@article{57fbddb064cd411da7ae57340553697b,

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

abstract = "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.",

keywords = "Humans, Atrial Fibrillation/complications, Artificial Intelligence, Early Diagnosis, Consensus, Cognition, Stroke/prevention & control",

author = "Schnabel, {Renate B} and Marinelli, {Elena Andreassi} and Elena Arbelo and Giuseppe Boriani and Serge Boveda and Buckley, {Claire M} and Camm, {A John} and Barbara Casadei and Winnie Chua and Nikolaos Dagres and {de Melis}, Mirko and Lien Desteghe and Diederichsen, {S{\o}ren Z{\"o}ga} and David Duncker and Lars Eckardt and Christoph Eisert and Daniel Engler and Larissa Fabritz and Ben Freedman and Ludovic Gillet and Andreas Goette and Eduard Guasch and Svendsen, {Jesper Hastrup} and Hatem, {St{\'e}phane N} and Haeusler, {Karl Georg} and Healey, {Jeff S} and Hein Heidbuchel and Gerhard Hindricks and Hobbs, {F D Richard} and Thomas H{\"u}bner and Dipak Kotecha and Michael Krekler and Christophe Leclercq and Thorsten Lewalter and Honghuang Lin and Dominik Linz and Lip, {Gregory Y H} and L{\o}chen, {Maja Lisa} and Wim Lucassen and Katarzyna Malaczynska-Rajpold and Steffen Massberg and Merino, {Jose L} and Ralf Meyer and Lluıs Mont and Myers, {Michael C} and Lis Neubeck and Teemu Niiranen and Michael Oeff and Jonas Oldgren and Potpara, {Tatjana S} and George Psaroudakis and Helmut P{\"u}rerfellner and Ursula Ravens and Michiel Rienstra and Lena Rivard and Daniel Scherr and Ulrich Schotten and Dipen Shah and Sinner, {Moritz F} and R{\"u}diger Smolnik and Gerhard Steinbeck and Daniel Steven and Emma Svennberg and Dierk Thomas and {True Hills}, Mellanie and {van Gelder}, {Isabelle C} and Burcu Vardar and Elena Pal{\`a} and Reza Wakili and Karl Wegscheider and Mattias Wieloch and Stephan Willems and Henning Witt and Andr{\'e} Ziegler and {Daniel Zink}, Matthias and Stephan Willems and Henning Witt and Andr{\'e} Ziegler and {Daniel Zink}, Matthias and Paulus Kirchhof",

note = "{\textcopyright} The Author(s) 2022. Published by Oxford University Press on behalf of European Society of Cardiology.",

year = "2023",

month = jan,

doi = "10.1093/europace/euac062",

language = "English",

volume = "25",

pages = "6--27",

journal = "Europace",

issn = "1099-5129",

publisher = "Oxford University Press",

number = "1",

}

Schnabel, RB, Marinelli, EA, Arbelo, E, Boriani, G, Boveda, S, Buckley, CM, Camm, AJ, Casadei, B, Chua, W, Dagres, N, de Melis, M, Desteghe, L, Diederichsen, SZ, Duncker, D, Eckardt, L, Eisert, C, Engler, D, Fabritz, L, Freedman, B, Gillet, L, Goette, A, Guasch, E, Svendsen, JH, Hatem, SN, Haeusler, KG, Healey, JS, Heidbuchel, H, Hindricks, G, Hobbs, FDR, Hübner, T, Kotecha, D, Krekler, M, Leclercq, C, Lewalter, T, Lin, H, Linz, D, Lip, GYH, Løchen, ML, Lucassen, W, Malaczynska-Rajpold, K, Massberg, S, Merino, JL, Meyer, R, Mont, L, Myers, MC, Neubeck, L, Niiranen, T, Oeff, M, Oldgren, J, Potpara, TS, Psaroudakis, G, Pürerfellner, H, Ravens, U, Rienstra, M, Rivard, L, Scherr, D, Schotten, U, Shah, D, Sinner, MF, Smolnik, R, Steinbeck, G, Steven, D, Svennberg, E, Thomas, D, True Hills, M, van Gelder, IC, Vardar, B, Palà, E, Wakili, R, Wegscheider, K, Wieloch, M, Willems, S, Witt, H, Ziegler, A, Daniel Zink, M, Willems, S, Witt, H, Ziegler, A, Daniel Zink, M & Kirchhof, P 2023, 'Early diagnosis and better rhythm management to improve outcomes in patients with atrial fibrillation: the 8th AFNET/EHRA consensus conference', Europace, vol. 25, no. 1, pp. 6-27. https://doi.org/10.1093/europace/euac062

TY - JOUR

T1 - Early diagnosis and better rhythm management to improve outcomes in patients with atrial fibrillation

T2 - the 8th AFNET/EHRA consensus conference

AU - Schnabel, Renate B

AU - Marinelli, Elena Andreassi

AU - Arbelo, Elena

AU - Boriani, Giuseppe

AU - Boveda, Serge

AU - Buckley, Claire M

AU - Camm, A John

AU - Casadei, Barbara

AU - Chua, Winnie

AU - Dagres, Nikolaos

AU - de Melis, Mirko

AU - Desteghe, Lien

AU - Diederichsen, Søren Zöga

AU - Duncker, David

AU - Eckardt, Lars

AU - Eisert, Christoph

AU - Engler, Daniel

AU - Fabritz, Larissa

AU - Freedman, Ben

AU - Gillet, Ludovic

AU - Goette, Andreas

AU - Guasch, Eduard

AU - Svendsen, Jesper Hastrup

AU - Hatem, Stéphane N

AU - Haeusler, Karl Georg

AU - Healey, Jeff S

AU - Heidbuchel, Hein

AU - Hindricks, Gerhard

AU - Hobbs, F D Richard

AU - Hübner, Thomas

AU - Kotecha, Dipak

AU - Krekler, Michael

AU - Leclercq, Christophe

AU - Lewalter, Thorsten

AU - Lin, Honghuang

AU - Linz, Dominik

AU - Lip, Gregory Y H

AU - Løchen, Maja Lisa

AU - Lucassen, Wim

AU - Malaczynska-Rajpold, Katarzyna

AU - Massberg, Steffen

AU - Merino, Jose L

AU - Meyer, Ralf

AU - Mont, Lluıs

AU - Myers, Michael C

AU - Neubeck, Lis

AU - Niiranen, Teemu

AU - Oeff, Michael

AU - Oldgren, Jonas

AU - Potpara, Tatjana S

AU - Psaroudakis, George

AU - Pürerfellner, Helmut

AU - Ravens, Ursula

AU - Rienstra, Michiel

AU - Rivard, Lena

AU - Scherr, Daniel

AU - Schotten, Ulrich

AU - Shah, Dipen

AU - Sinner, Moritz F

AU - Smolnik, Rüdiger

AU - Steinbeck, Gerhard

AU - Steven, Daniel

AU - Svennberg, Emma

AU - Thomas, Dierk

AU - True Hills, Mellanie

AU - van Gelder, Isabelle C

AU - Vardar, Burcu

AU - Palà, Elena

AU - Wakili, Reza

AU - Wegscheider, Karl

AU - Wieloch, Mattias

AU - Willems, Stephan

AU - Witt, Henning

AU - Ziegler, André

AU - Daniel Zink, Matthias

AU - Willems, Stephan

AU - Witt, Henning

AU - Ziegler, André

AU - Daniel Zink, Matthias

AU - Kirchhof, Paulus

PY - 2023/1

Y1 - 2023/1

N2 - 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.

AB - 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.

KW - Humans

KW - Atrial Fibrillation/complications

KW - Artificial Intelligence

KW - Early Diagnosis

KW - Consensus

KW - Cognition

KW - Stroke/prevention & control

U2 - 10.1093/europace/euac062

DO - 10.1093/europace/euac062

M3 - Article

C2 - 35894842

SN - 1099-5129

VL - 25

SP - 6

EP - 27

JO - Europace

JF - Europace

IS - 1

ER -

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

Abstract

Bibliographical note

Keywords

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