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Evaluation of repeated machine learning-based phenotyping in patients with cardiogenic shock

30 August 2024 (08:00 - 17:30)
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Congress Presentation Part of: Management and prognostication in acute myocardial infarction cardiogenic shock Shock ESC Professional Premium Access ESC Congress 2024 European Society of Cardiology

About the speaker

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Doctor Elric Zweck

University Hospital Duesseldorf, Duesseldorf (Germany)

4 More presentations in this session

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Influence of hospital ownership on patient outcomes in STEMI-induced cardiogenic shock undergoing revascularization: a retrospective cohort study
Doctor J. Sequeira Gross (Fort Myers, US)
Abstract Slides Video
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The effect of treatment srategy for acute myocardial infarction complicated by cardiac shock using Impella in accordance with institutional protocol
Doctor T. Tada (Kurashiki, JP)
Abstract Slides Video
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Patient characteristics and clinical outcome in acute myocardial infarction related cardiogenic shock according to vascular access site for PCI
Mrs E. Peters (Amsterdam, NL)
Abstract Slides Video
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Influence of timing of impella insertion on the prognosis of acute myocardial infarction complicated with cardiogenic shock requiring ECPELLA
Doctor K. Shimamoto (Kyoto, JP)
Abstract Slides Video

Access the full session

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Management and prognostication in acute myocardial infarction cardiogenic shock
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The Event

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ESC Congress 2024

30 August - 2 September 2024

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources