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Analysis of risk factors and construction of risk prediction model for type 4b acute myocardial infarction caused by very late stent thrombosis based on machine learning

29 August 2025 (07:00 - 18:00)
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Congress Presentation Part of: Risk factor in acute coronary syndromes Thrombosis, Platelets, and Coagulation ESC Professional Premium Access ESC Congress 2025 European Society of Cardiology

About the speaker

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Professor Jing Gao

Tianjin Chest Hospital, Tianjin (China)

6 More presentations in this session

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Causal relationship between diagnosis of myocardial infarction and smoking cessation- from the China Health and Nutrition Survey
Doctor D. Xu (Ningbo, CN)
Abstract Slides Video
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Association of quality of care and long-term mortality risk for individuals presenting with ST-segment myocardial infarction (STEMI) by diabetes mellitus status: a nationwide cohort study
Doctor A. Cole (Stoke on Trent, GB)
Abstract Slides Video
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Standards of care in relation to age and sex in patients with ST-elevation myocardial infarction in 2023. European unified registries on heart care evaluation and randomized trials (Euroheart)
Doctor A. Bhatty (Leeds, GB)
Abstract Slides Video
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Unveiling the optimal LDL-C window: prognostic stratification in frail patients with acute myocardial infarction
Professor C. Liu (Tianjin, CN)
Abstract Slides Video
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Chest pain patients with intermediate risk HEART score are safe for an expedited outpatient cardiology evaluation - a multicenter study.
Ms D. Lebron Gallagher (Las Vegas, US)
Abstract Slides Video

Access the full session

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Risk factor in acute coronary syndromes

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