Back

Prediction of in-hospital mortality in cardiogenic shock using blood gas analysis data and a neural network model

31 August 2026 (09:15 - 10:00)
Organised by: Logo
Congress Presentation Part of: Myocarditis to cardiogenic shock: mechanisms and outcomes Cardiogenic Shock ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

Photo
Doctor Anna Zapolska-Tomasiewicz

University Hospital in Wroclaw, Wroclaw (Poland)

6 More presentations in this session

Presentation thumbnail
Concordance between E/e′ratio and NT-proBNP levels for predicting late-onset heart failure events in patients with acute coronary syndrome(CONCORD-ACS Study)
Doctor K. Kimavaha (Bangkok, TH)
Abstract Slides Video
Presentation thumbnail
Clinical association between hypoxic liver injury and hypoxic hepatitis in cardiogenic shock patients regarding in-hospital and 12 months mortality: from the RESCUE II trial
Doctor S. Choi (Incheon, KR)
Abstract Slides Video
Presentation thumbnail
Left ventricular unloading with impella versus IABP in cardiogenic shock requiring VA-ECMO
Doctor R. Ito (Nagoya, JP)
Abstract Slides Video
Presentation thumbnail
Clinical predictors of in-hospital mortality in adult patients with refractory cardiogenic shock or cardiac arrest supported with veno-arterial extracorporeal membrane oxygenation
Doctor A. Carugno (Buenos Aires, AR)
Abstract Slides Video
Presentation thumbnail
Fulminant myocarditis before and after the COVID-19 pandemic: a comparative analysis of clinical phenotypes, histological findings, and outcomes in a contemporary cohort
Doctor C. Menghi (Padova, IT)
Abstract Slides Video

Access the full session

Session thumbnail
Myocarditis to cardiogenic shock: mechanisms and outcomes

The Event

Event poster

ESC Congress 2026

31 August 2026 09:15 CET
You may be interested in
thumbnail
Congress Presentation
Prognostic value of arterial lactate on admission in patients with infarct-related cardiogenic shock: is there a difference between patients with and without pre-hospital cardiac arrest ?
31 August 2025
thumbnail
Congress Presentation
Deep learning for mortality prediction in patients with a de-novo or worsened heart failure
29 August 2021
thumbnail
Congress Presentation
Novel risk score of mortality prediction for critical cardiogenic shock patients
27 August 2023
thumbnail
Congress Presentation
Machine learning for differentiating shock types using inflammatory markers
14 March 2025

ESC 365 is supported by

novartis Explore sponsored resources
novo-nordisk Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources
novo-nordisk Explore sponsored resources