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4 results on '"Rhythm management"'

1. Longer and better lives for patients with atrial fibrillation: the 9th AFNET/EHRA consensus conference.

Author

Linz, Dominik, Andrade, Jason G, Arbelo, Elena, Boriani, Giuseppe, Breithardt, Guenter, Camm, A John, Caso, Valeria, Nielsen, Jens Cosedis, Melis, Mirko De, Potter, Tom De, Dichtl, Wolfgang, Diederichsen, Søren Zoega, Dobrev, Dobromir, Doll, Nicolas, Duncker, David, Dworatzek, Elke, Eckardt, Lars, Eisert, Christoph, Fabritz, Larissa, and Farkowski, Michal

Abstract

Aims Recent trial data demonstrate beneficial effects of active rhythm management in patients with atrial fibrillation (AF) and support the concept that a low arrhythmia burden is associated with a low risk of AF-related complications. The aim of this document is to summarize the key outcomes of the 9th AFNET/EHRA Consensus Conference of the Atrial Fibrillation NETwork (AFNET) and the European Heart Rhythm Association (EHRA). Methods and results Eighty-three international experts met in Münster for 2 days in September 2023. Key findings are as follows: (i) Active rhythm management should be part of the default initial treatment for all suitable patients with AF. (ii) Patients with device-detected AF have a low burden of AF and a low risk of stroke. Anticoagulation prevents some strokes and also increases major but non-lethal bleeding. (iii) More research is needed to improve stroke risk prediction in patients with AF, especially in those with a low AF burden. Biomolecules, genetics, and imaging can support this. (iv) The presence of AF should trigger systematic workup and comprehensive treatment of concomitant cardiovascular conditions. (v) Machine learning algorithms have been used to improve detection or likely development of AF. Cooperation between clinicians and data scientists is needed to leverage the potential of data science applications for patients with AF. Conclusions Patients with AF and a low arrhythmia burden have a lower risk of stroke and other cardiovascular events than those with a high arrhythmia burden. Combining active rhythm control, anticoagulation, rate control, and therapy of concomitant cardiovascular conditions can improve the lives of patients with AF. [ABSTRACT FROM AUTHOR]

Published
2024
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2. Early diagnosis and better rhythm management to improve outcomes in patients with atrial fibrillation: the 8th AFNET/EHRA consensus conference.

Author

Schnabel, Renate B, Marinelli, Elena Andreassi, Arbelo, Elena, Boriani, Giuseppe, Boveda, Serge, Buckley, Claire M, Camm, A John, Casadei, Barbara, Chua, Winnie, Dagres, Nikolaos, Melis, Mirko de, Desteghe, Lien, Diederichsen, Søren Zöga, Duncker, David, Eckardt, Lars, Eisert, Christoph, Engler, Daniel, Fabritz, Larissa, Freedman, Ben, and Gillet, Ludovic

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. [ABSTRACT FROM AUTHOR]

Published
2023
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3. Early diagnosis and better rhythm management to improve outcomes in patients with atrial fibrillation: the 8th AFNET/EHRA consensus conference

Author

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, Paulus Kirchhof, General practice, ACS - Heart failure & arrhythmias, APH - Personalized Medicine, APH - Quality of Care, Schnabel, Renate B/0000-0001-7170-9509, Rienstra, Michiel/0000-0002-2581-070X, Pala, Elena/0000-0002-1074-990X, Schnabel, Renate B., Marinelli, Elena Andreassi, Arbelo, Elena, Boriani, Giuseppe, Boveda, Serge, Buckley, Claire M., Camm, A. John, Casadei, Barbara, Chua, Winnie, Dagres, Nikolaos, de Melis, Mirko, DESTEGHE, Lien, Diederichsen, Soren Zoga, Duncker, David, Eckardt, Lars, Eisert, Christoph, Engler, Daniel, Fabritz, Larissa, Freedman, Ben, Gillet, Ludovic, Goette, Andreas, Guasch, Eduard, Svendsen, Jesper Hastrup, Hatem, Stephane N., Haeusler, Karl Georg, Healey, Jeff S., HEIDBUCHEL, Hein, Hindricks, Gerhard, Hobbs, F. D. Richard, Huebner, Thomas, Kotecha, Dipak, Krekler, Michael, Leclercq, Christophe, Lewalter, Thorsten, Lin, Honghuang, Linz, Dominik, Lip, Gregory Y. H., Lochen, Maja Lisa, Lucassen, Wim, Malaczynska-Rajpold, Katarzyna, Massberg, Steffen, Merino, Jose L., Meyer , Ralf, Mont, Lluis, Myers, Michael C., Neubeck, Lis, Niiranen, Teemu, Oeff, Michael, Oldgren, Jonas, Potpara, Tatjana S., Psaroudakis, George, Purerfellner, Helmut, Ravens, Ursula, Rienstra, Michiel, Rivard, Lena, Scherr, Daniel, Schotten, Ulrich, Shah , Dipen, Sinner, Moritz F., Smolnik, Rudiger, Steinbeck, Gerhard, Steven, Daniel, Svennberg, Emma, Thomas, Dierk, Hills, Mellanie True, van Gelder, Isabelle C., Vardar, Burcu, Pala, Elena, Wakili, Reza, Wegscheider, Karl, Wieloch, Mattias, Willems , Stephan, Witt, Henning, Ziegler, Andre, Zink, Matthias Daniel, Kirchhof, Paulus, Cardiologie, MUMC+: MA Med Staf Spec Cardiologie (9), and RS: Carim - H08 Experimental atrial fibrillation

Subjects
Artificial intelligence, Technology, Consensus, Cost, Medizin, Heart failure, Outcomes, Guidelines, EHRA/HRS/APHRS/SOLAECE EXPERT CONSENSUS, Anticoagulation, Cognition, QUALITY-OF-LIFE, Physiology (medical), MAGNETIC-RESONANCE, Humans, PULMONARY VEIN ISOLATION, CARDIOVASCULAR EVENTS, Stroke/prevention & control, AFNET, Atrial cardiomyopathy, Atrial fibrillation, Bleeding, Catheter ablation, Cognitive function, Consensus statement, Dementia, EHRA, Integrated care, Quality of care, Research, Research priorities, Rhythm management, Screening, Stroke, ORAL ANTICOAGULANTS, CARDIOMYOPATHIES DEFINITION, RISK PREDICTION, Early Diagnosis, Human medicine, Cardiology and Cardiovascular Medicine, FOLLOW-UP, Atrial Fibrillation/complications
Abstract

Europace : the European journal of pacing, arrhythmias and cardiac electrophysiology euac062 (2022). doi:10.1093/europace/euac062, Published by Oxford Univ. Press, Oxford

Published
2022
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4. Early Diagnosis and Better Rhythm Management to improve outcomes in patients with Atrial Fibrillation: The 8th AFNET/EHRA Consensus Conference

Author

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

Subjects
Artificial intelligence, Technology, Cost, Research, Bleeding, Quality of care, Heart failure, Outcomes, Atrial fibrillation, Anticoagulation, Dementia, Catheter ablation, Cognitive function, Rhythm management, Atrial cardiomyopathy, Research priorities
Abstract

AimsDespite 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 resultsThis 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.ConclusionsImplementation 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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