Clone of 8. AFNET / EHRA Consensus Conference

Early diagnosis and precision treatment of atrial fibrillation in the digital era

12th - 14th October 2021, Hamburg, Germany

 

 

Scientific Committee

Prof Paulus Kirchhof (AFNET; Hamburg, Germany)
Prof. Christophe Leclercq (EHRA; Rennes, France)
Prof. Renate Schnabel (AFNET; Hamburg, Germany)
Prof. Ulrich Schotten (AFNET; Maastricht, The Netherlands)
Dr. Emma Svennberg (EHRA; Stockholm, Sweden)

 

Press release
Program
Publication

 

Despite marked progress in the management of patients with atrial fibrillation (AF), the arrhythmia remains a diagnostic and therapeutic challenge in many, in particular older individuals worldwide. It carries a significant public health burden with high mortality and morbidity, severe societal impact for affected patients and their families, and relevant cost to health care systems. This is the reason why intensive research at the basic science and clinical level is ongoing to better understand the different underlying mechanisms that are reflected by the relatively uniform electrocardiographic pattern of AF.

New data show that early rhythm control therapy, initiated shortly after the clinical diagnosis of AF, can improve outcomes in patients with AF. These findings have the potential to change the rationale and practice of rhythm control therapy in patients with AF. We need to understand this effect better, and there is a new impetus to increase our efforts to improve the effectiveness and safety of rhythm control therapy, for example in patients with AF and heart failure or in those with recurrent AF on rhythm control therapy.  

Translational research identified atrial cardiomyopathy, both due to AF and preceding its diagnosis, as a common finding and potential driver for AF. Advances have been made for the quantification of atrial myopathy from cell to clinical level. Atrial dysfunction and the broad spectrum of clinical and risk factor information have been used to define populations at risk of AF in primary prevention and post stroke. The examination of genetics including large data sets of whole genome sequencing and omics have made significant advances. Artificial intelligence-based methods integrating all available information and extracting central features have shown promising first results.

The new AF guidelines have been released and will offer many aspects for discussion, e.g. adaptation of the ABC pathway to include early rhythm control, and implementation of the 4S classification, especially the atrial cardiomyopathy component, in clinical care. Strategies for efficient implementation in diverse settings need to be discussed.

The digital devices enable long-term continuous monitoring of biosignals, including the ability to detect rare arrhythmias, using wearables and implanted devices, which will further feed the data pipeline. Initial results from uninterrupted rhythm recording over years have provided insights into the natural history of AF and will soon generate AF burden-related outcomes. They will inform the frequency and intensity of AF screening required to efficiently reduce strokes.

 

Plenary lectures

 

AFFECT-EU Session: Refined atrial fibrillation screening AFFECT-EU

 

Advances in phenotyping of AF patients

 

DZHK Session: Unsolved issues in atrial fibrillation treatment  DZHK

 

 

Workshops

  • Cognitive function, OAC
  • Screening implementation (how and who)
  • Do we need a new approach to rhythm control therapy (asymptomatic patients, newly diagnosed AF)
  • AF progression, left ventricular fuction, atrial cardiopathy and other surrogates
  • Structured quality of care
  • Big data/AI, EHR in AF diagnosis and management

 

Funding

The event is jointly funded by AFNET and EHRA with additional financial support from AFFECT-EU which is funded under European Union's (EU) Horizon 2020 research and innovation program Horizon 2020 (grant number 847770).