Back

Stratification of chest pain in the emergency department: how effectively do risk scores predict coronary artery stenosis?

31 August 2025 (17:15 - 18:00)
Organised by: Logo
Congress Presentation Part of: Diagnostics in acute coronary syndromes Diagnostic Methods ESC Professional Premium Access ESC Congress 2025 European Society of Cardiology

About the speaker

Photo
Doctor Andre Martins

Leiria Hospital Centre, Leiria (Portugal)

7 More presentations in this session

Presentation thumbnail
The autonomic risk score (ARS) stratifies mortality risk in patients following myocardial infarction using 10-second ECGs
Doctor L. Sams (Munich, DE)
Abstract Slides Video
Presentation thumbnail
Hyperacute T waves are specific for occlusion myocardial infarction, even in the absence of STEMI criteria
Doctor H. Meyers (Charlotte, US)
Abstract Slides Video
Presentation thumbnail
The rupture risk triad: a novel cardiac magnetic resonance-based predictor of impending heart rupture after STEMI
Doctor M. Alberti (Pisa, IT)
Abstract Slides Video
Presentation thumbnail
Can the Promise Minimal Risk Score accurately define resource allocation for patients presenting to a UK rapid access chest pain clinic?
Doctor C. Tuffs (Bournemouth, GB)
Abstract Slides Video
Presentation thumbnail
AI-ECG-determined diastolic dysfunction in patients with STEMI
Assistant Professor E. Lee (Rochester, US)
Abstract Slides Video

Access the full session

Session thumbnail
Diagnostics in acute coronary syndromes

The Event

Event poster

ESC Congress 2025

31 August 2025 17:15 CET
You may be interested in
thumbnail
Congress Presentation
Impact of using the 2024 ESC Guideline-recommended method for estimating the likelihood of obstructive coronary disease - a cardiac CT study
thumbnail
Congress Presentation
How to use CCTA to make decisions in the emergency room
thumbnail
Congress Presentation
Derivation and external validation of machine-learning- models for risk stratification in chest pain with normal troponin

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources