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Machine learning–based identification of mortality risk factors in hospitalized heart failure patients: a multicenter real-world study

28 August 2026 (14:15 - 15:00)
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Congress Presentation Part of: Heart failure under pressure: potassium, fluid, and fibrosis Epidemiology, Prognosis, Outcome ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

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Mr Adrian Bednarek

Warsaw (Poland)

7 More presentations in this session

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Glucagon-like peptide-1 receptor agonists and outcomes in heart failure with preserved ejection fraction and obesity: a real-world systematic review and meta-analysis of observational studies
Doctor D. Chirino (Buenos Aires, AR)
Abstract Slides Video
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A simple risk score for prediction of the need of rescue ultrafiltration at admission in patients hospitalized for acute decompensated heart failure episodes. Development and initial validation
Doctor P. Klin (Buenos Aires, AR)
Abstract Slides Video
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Myocardial viability and prognosis of patients with left ventricular dysfunction according to treatment strategy: a systematic review and a meta-analysis
Doctor I. Karabinos (Athens, GR)
Abstract Slides Video
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Age-related differences in adverse events among vericiguat-treated patients with heart failure: insights from the VERIFY-HF registry
Doctor R. Matsukawa (Iizuka, JP)
Abstract Slides Video
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Risk prediction model for chronic hyperkalemia in patients with heart failure: results from NORMALIZE study
Doctor Z. Li (Nanjing, CN)

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Heart failure under pressure: potassium, fluid, and fibrosis

The Event

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ESC Congress 2026

28 August 2026 14:15 CET
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