Machine learning for predicting the prognosis in patients with acute myocardial infarction complicated by cardiogenic shock

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Machine learning for predicting the prognosis in patients with acute myocardial infarction complicated by cardiogenic shock

Session: The kidney and other comorbidities in cardiogenic shock

Topic: Cardiogenic Shock

Speaker: Doctor B. Huang (Chongqing, CN)

Event: ESC Congress 2025

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About the speaker

Doctor Bi Huang

The First Affiliated Hospital of Chongqing Medical University, Chongqing (China)

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7 more presentations in this session

The heart-kidney connection: acute kidney injury in cardiogenic shock

Speaker: Doctor R. Barbosa Sousa (Lisbon, PT)

Impact of early enteral nutrition on delirium prevention in patients with malnutrition concurrent with acute myocardial infarction

Speaker: Doctor H. Abe (Urayasu, JP)

Impact of DanGer Shock eligibility criteria on survival in patients with acute myocardial infarction-related cardiogenic shock: it is all about Impella?

Speaker: Doctor D. Sa (Funchal, PT)

Interaction between renal and right ventricular function and their early prognostic relevance in patients with cardiogenic shock complicating AMI

Speaker: Doctor S. Dalanbaatar (Ulaanbaatar, MN)

Association between body mass index and short-term mortality in cardiogenic shock patients supported by Impella: a multicenter retrospective study

Speaker: Doctor R. Nakano (Kumamoto, JP)

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The kidney and other comorbidities in cardiogenic shock

Speakers: Doctor B. Huang, Doctor R. Barbosa Sousa, Doctor H. Abe, Doctor D. Sa, Doctor S. Dalanbaatar...

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ESC Congress 2025

29 August - 1 September 2025

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