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Prognostic value of machine learning-based automated frailty rating in elderly patients with chronic heart failure

29 August 2025 (07:00 - 18:00)
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Congress Presentation Part of: Assessing fitness in heart failure patients: from basic to high-tech methods Comorbidities ESC Professional Premium Access ESC Congress 2025 European Society of Cardiology

About the speaker

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Doctor Toshifumi Tamura

Hokkaido University Hospital, Sapporo (Japan)

5 More presentations in this session

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Association between gardening activity and frailty in patients with heart failure
Doctor M. Saito (Ozu, JP)
Abstract Slides Video
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Finerenone according to insulin resistance in heart failure: the FINEARTS-HF trial
Doctor J. Ostrominski (Boston, US)
Abstract Slides Video
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Revisiting the cholesterol paradox in heart failure:the impact of heart failure severity and skeletal muscle loss
Doctor R. SATO (Goettingen, DE)
Abstract Slides Video
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The prognostic importance of sleep quality in patients with heart failure and sleep apnea: Data from the Norwegian heart failure registry
Mr H. Nahoui (Oslo, NO)
Abstract Slides Video
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Longitudinal changes in cerebral blood flow in patients with chronic heart failure: A cohort study using pseudo-continuous arterial spin labeling MRI to assess the impact of heart failure progression
Doctor H. Suzuki (Sendai, JP)
Abstract Slides Video

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Assessing fitness in heart failure patients: from basic to high-tech methods
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The Event

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ESC Congress 2025

29 August - 1 September 2025
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ESC 365 is supported by

novartis Explore sponsored resources