Early diagnosis and better rhythm management to improve outcomes in patients with atrial fibrillation: the 8th AFNET/EHRA consensus conference
(2023) In Europace 25(1). p.6-27- 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Results of the interdisciplinary, hybrid discussions in breakout groups and the plenary based on recently published and unpublished observations are summarized in this consensus paper to support improved care for patients with AF by guiding prevention, individualized management, and... (More)
- 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Results of the interdisciplinary, hybrid discussions in breakout groups and the plenary based on recently published and unpublished observations are summarized in this consensus paper to support improved care for patients with AF by guiding prevention, individualized management, and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. © 2022 The Author(s). Published by Oxford University Press on behalf of European Society of Cardiology. (Less)
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- author
- Schnabel, Renate B. ; Wieloch, Mattias LU and Kirchhof, Paulus
- author collaboration
- organization
- publishing date
- 2023
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- AFNET, Anticoagulation, Artificial intelligence, Atrial cardiomyopathy, Atrial fibrillation, Bleeding, Catheter ablation, Cognitive function, Consensus statement, Cost, Dementia, EHRA, Guidelines, Heart failure, Integrated care, Outcomes, Quality of care, Research, Research priorities, Rhythm management, Screening, Stroke, Technology, Artificial Intelligence, Atrial Fibrillation, Cognition, Consensus, Early Diagnosis, Humans, anticoagulant agent, ablation therapy, anticoagulant therapy, Article, artificial intelligence, atrial fibrillation, cardiomyopathy, catheter ablation, cerebrovascular accident, clinical assessment, clinical research, cognition, cognitive defect, consensus, dementia, disease exacerbation, early diagnosis, evidence based practice, follow up, health care quality, health education, heart protection, human, medical society, medicolegal aspect, patient care, patient referral, risk factor, screening test, sinus rhythm, complication
- in
- Europace
- volume
- 25
- issue
- 1
- pages
- 22 pages
- publisher
- Oxford University Press
- external identifiers
-
- scopus:85139165368
- pmid:35894842
- ISSN
- 1532-2092
- DOI
- 10.1093/europace/euac062
- language
- English
- LU publication?
- yes
- id
- c4ccc062-082b-4436-8273-f870b77800c7
- date added to LUP
- 2024-03-26 14:26:08
- date last changed
- 2024-03-28 03:00:37
@article{c4ccc062-082b-4436-8273-f870b77800c7,
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. © 2022 The Author(s). Published by Oxford University Press on behalf of European Society of Cardiology.}},
author = {{Schnabel, Renate B. and Wieloch, Mattias and Kirchhof, Paulus}},
issn = {{1532-2092}},
keywords = {{AFNET; Anticoagulation; Artificial intelligence; Atrial cardiomyopathy; Atrial fibrillation; Bleeding; Catheter ablation; Cognitive function; Consensus statement; Cost; Dementia; EHRA; Guidelines; Heart failure; Integrated care; Outcomes; Quality of care; Research; Research priorities; Rhythm management; Screening; Stroke; Technology; Artificial Intelligence; Atrial Fibrillation; Cognition; Consensus; Early Diagnosis; Humans; anticoagulant agent; ablation therapy; anticoagulant therapy; Article; artificial intelligence; atrial fibrillation; cardiomyopathy; catheter ablation; cerebrovascular accident; clinical assessment; clinical research; cognition; cognitive defect; consensus; dementia; disease exacerbation; early diagnosis; evidence based practice; follow up; health care quality; health education; heart protection; human; medical society; medicolegal aspect; patient care; patient referral; risk factor; screening test; sinus rhythm; complication}},
language = {{eng}},
number = {{1}},
pages = {{6--27}},
publisher = {{Oxford University Press}},
series = {{Europace}},
title = {{Early diagnosis and better rhythm management to improve outcomes in patients with atrial fibrillation: the 8th AFNET/EHRA consensus conference}},
url = {{http://dx.doi.org/10.1093/europace/euac062}},
doi = {{10.1093/europace/euac062}},
volume = {{25}},
year = {{2023}},
}