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Pre-procedural machine learning model including prior SGLT2 inhibitor therapy improves early risk stratification for contrast-associated kidney injury in acute coronary syndrome

29 August 2026 (11:15 - 11:45)
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Congress Presentation Part of: Acute coronary syndromes: new biomarkers for risk stratification and machine learning Angiography, Invasive Imaging ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

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Doctor Jose Manuel Andreu Cayuelas

General University Hospital Santa Lucia, Cartagena (Spain)

3 More presentations in this session

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Prognostic significance of the advanced lung cancer inflammation index in acute coronary syndrome patients: a systematic review and meta-analysis
Doctor S. Saenz Ancira (Bronx, US)
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Point-of-care high-sensitivity troponin testing for rapid chest pain triage in emergency primary care: preliminary efficacy findings from the OUT-POC Study
Doctor T. Johannessen (Oslo, NO)
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CRP reveals an inflammatory, non-calcified coronary endotype in SMuRF-less individuals and enables efficient two-stage screening for subclinical atherosclerosis
Doctor S. Fathieh (London, GB)
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Acute coronary syndromes: new biomarkers for risk stratification and machine learning

The Event

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ESC Congress 2026

29 August 2026 11:15 CET
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