EASL Podcasts

Author: European Association for the Study of the Liver

The EASL Podcast collection brings together Talk Liver to Me, EASLs exclusive original podcast, alongside educational audio content adapted from EASL Studio, DeepDive webinars, and Policy Dialogues. Stay informed with expert insights, practical discussions, and the latest knowledge in hepatology anytime, anywhere.
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Genres: Health & Fitness, Medicine

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Talk Liver To Me - What are the Dos and Don'ts in Acute Liver Failure?
Episode 16
Tuesday, 1 September, 2026

Acute liver failure (ALF) is a rare but life-threatening condition requiring rapid recognition and decisive management. Early decisions around investigation, escalation, and referral can significantly impact outcomes. Despite advances in care, variation in practice and avoidable pitfalls remain common. In this podcast, we take a practical, case-based approach to the key “dos and don’ts” in ALF management, focusing on early diagnosis, initial stabilisation, appropriate investigations, and timely referral to specialist centres. What should clinicians prioritise, what should be avoided, and how can we optimise care in the critical early stages of acute liver failure?Host: Mattias Mandorfer (Medical University of Vienna) Guests: William Bernal (King's College London), Nigel Heaton (King's College London) This episode is also available on EASL Campus: https://easlcampus.eu/tltm/episode-16Thank you to our healthcare industry partners for their support. For more information, please visit EASLCampus.eu.This programme is intended for health care professionals only and is provided for educational purposes. EASL does not endorse or promote any medicinal products or medical devices. The views and opinions expressed are those of the speakers and do not necessarily reflect those of EASL. All declarations of conflicts of interest are listed on EASL Campus (https://easlcampus.eu/tltm/episode-16).EASL is not responsible for the accuracy of any translated versions of this podcast or of subtitles generated automatically by artificial intelligence.