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1. Increased risk of dementia differs across cardiovascular diseases and types of dementia – Data from a nationwide study.

Author

Kauko, Anni, Engler, Daniel, Niiranen, Teemu, Ortega‐Alonso, Alfredo, and Schnabel, Renate B.

Subjects
*CARDIOVASCULAR diseases, *HEART failure, *DISEASE risk factors, *TRANSIENT ischemic attack, *ALZHEIMER'S disease, *DEMENTIA
Abstract

Aims: Dementia is a major health problem. Cardiovascular diseases (CVD) and risk factors are associated with incident dementia. However, whether there is an association among CVD, Alzheimer's disease (AD) and vascular dementia (VD) at the population level remains unclear. Methods: We analysed the association between CVD (heart failure [HF], atrial fibrillation [AF], myocardial infarction [MI], peripheral arterial disease, stroke and transient ischemic attack) and the incidence of dementia using nationwide FinnGen data of 218,192 individuals. The last follow‐up information on dementia was available from October 2021. Results: The age at the end of the follow‐up was 61.7 ± 17.1 years, and 53% were women. Overall, we observed 9701 (4.4%) dementia, 6323 (2.9%) AD and 1918 (0.7%) VD cases. Individuals with CVD had a higher risk of developing dementia than unexposed individuals. In the multivariable‐adjusted Cox models, stroke was most strongly associated with dementia (hazard ratio [HR] 1.7, 95% confidence interval [CI] 1.6–1.8). CVD was more strongly associated with VD than with AD. Individuals with HF and MI had an increased risk of AD (HF: HR 1.11, 95% CI 1.04–1.19; MI: HR 1.10, 95% CI 1.02–1.18). AF was associated with VD (HR 1.58, 95% CI 1.42–1.77), but not with AD (HR 1.03, 95% CI 0.97–1.09). Clinical characteristics, such as diabetes, smoking and alcohol abuse, were associated with both types of dementia. Conclusion: All major CVDs were associated with an increased risk of developing dementia, particularly VD. Therefore, CVD onset should prompt an assessment of cognitive decline and possible preventive measures. [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

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.

4. 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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