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April 14, 2022EP Europace180 citationsOpen Access

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

RSRenate B. SchnabelEMElena Andreassi MarinelliEAElena Arbelo

Structured PICO

P
Population
Individuals aged ≥75 years or 65-74 years with additional risk factors targeted for atrial fibrillation screening, and patients with recently diagnosed atrial fibrillation targeted for rhythm management.
I
Intervention
Systematic atrial fibrillation screening pathways (using single-time point ECG, handheld ECG, continuous monitoring, or consumer-led devices) and early rhythm management strategies (antiarrhythmic drugs, ablation, cardioversion).

The 8th AFNET/EHRA consensus conference outlines a scalable systematic AF screening pathway and advocates for early rhythm control to prevent adverse cardiovascular outcomes.

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Results of the interdisciplinary, hybrid discussions in breakout groups and the plenary based on recently published and unpublished observations are summarized in this consensus paper to support improved care for patients with AF by guiding prevention, individualized management, and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.

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Cite This Study

Schnabel et al. (2022) studied this question.

synapsesocial.com/papers/6a813ca4176d2ce031660dfehttps://doi.org/10.1093/europace/euac062
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