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SHR Neuro Cancer Cardio Lipid Metab Microb
Svennberg, E; Merino, JL; Andrade, J; Anselmino, M; Arbelo, E; Boersma, E; Boriani, G; Breithardt, G; Chung, M; Chyou, J; Cohen, A; Nielsen, JC; Dichtl, W; Diederichsen, SZ; Dobrev, D; Doehner, W; Dworatzek, E; Fabritz, L; Filgueiras-Rama, D; Gimpelewicz, C; Hack, G; Hatem, S; Healey, J; Heidbuchel, H; Hijazi, Z; Holst, AG; Hove-Madsen, L; Jalife, J; van, Leerdam, R; Linz, D; Lip, GYH; Lubitz, S; de, Melis, M; Meyer, R; Orczykowski, M; Parwani, AS; Porta-Sanchez, A; de, Potter, T; Ravens, U; Rienstra, M; Rillig, A; Rivard, L; Scherr, D; Schnabel, RB; Schotten, U; Simovic, S; Sinner, M; Sohns, C; Sommer, P; Steinbeck, G; Steven, D; Sultan, A; Thomalla, G; Toennis, T; Tzeis, S; Voigt, N; Wadhwa, M; Wakili, R; Witt, H; Goette, A; Kirchhof, P.
Transforming atrial fibrillation management by targeting comorbidities and reducing atrial fibrillation burden: the 10th AFNET/EHRA consensus conference.
Europace. 2025; 27(12):
Doi: 10.1093/europace/euaf318
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- Co-authors Med Uni Graz
- Scherr Daniel
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- Abstract:
- Atrial fibrillation (AF) is a growing unmet medical need. To reduce its impact on patients' lives, improvements in stroke prevention therapy, treatment of concomitant conditions, and rhythm control therapy are actively developed: Innovations in anti-thrombotic agents, new anti-arrhythmic drugs (AADs), and novel interventional rhythm control therapies emerge alongside AF-reducing effects of general cardiometabolic therapies. Simple risk scores are slowly replaced by personalized AF risk estimation using quantifiable features. These developments were discussed by over 80 experts from academia and industry during the 10th Atrial Fibrillation NETwork /European Heart Rhythm Association consensus conference from 5 to 7 May 2025. The emerging consensus, described here, is multi-domain therapy combining stroke prevention, rhythm control, and therapy of concomitant cardiovascular conditions. This combines anti-coagulants, AADs, and AF ablation with old and new cardiometabolic drugs that can reduce AF risk, AF burden, and AF-related complications at scale. The paper furthermore describes quantitative traits that may enable a shift towards risk-driven therapy based on AF phenotypes. These can enable adjusted therapy strategies that are safe, accessible, and patient-centred. Applying modern data science and artificial intelligence methods to quantitative phenotypic and genetic features can further improve risk estimation and personalized therapy selection. At the same time, translational and clinical research into reversing the drivers of AF and into improved stroke prevention through new drugs and through combination therapies is needed. Together, these efforts offer pathways towards personalized, patient-centred, multi-modal, and accessible AF management that integrates rhythm control, stroke prevention, and therapy of concomitant conditions to bridge today's practical needs with tomorrow's therapeutic innovation.
- Find related publications in this database (using NLM MeSH Indexing)
- Humans - administration & dosage
- Atrial Fibrillation - therapy, epidemiology, diagnosis, physiopathology
- Anti-Arrhythmia Agents - therapeutic use
- Stroke - prevention & control, epidemiology
- Comorbidity - administration & dosage
- Catheter Ablation - administration & dosage
- Risk Assessment - administration & dosage
- Consensus - administration & dosage
- Anticoagulants - therapeutic use
- Risk Factors - administration & dosage
- Find related publications in this database (Keywords)
- Atrial fibrillation
- Rhythm control
- Stroke prevention
- Ablation
- Atrial fibrillation burden
- Heart failure
- Antiarrhythmic drugs
- Artificial intelligence
- Integrated care