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Machine learning to optimise use of cardiac troponin in the diagnosis of acute myocardial infarction

26 August 2022 (08:00 - 19:30)
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Congress Presentation Part of: Biomarkers and more Biomarkers ESC Professional Premium Access ESC Congress 2022

About the speaker

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Doctor Dimitrios Doudesis

University of Edinburgh, Edinburgh (United Kingdom of Great Britain & Northern Ireland)

8 More presentations in this session

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Patients with known coronary artery disease who are ruled out for acute myocardial infarction using a high sensitivity troponin T 0/1-hour algorithm have increased 30-day major adverse cardiac events
Professor R. Nowak (Detroit, US)
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VEGF beta is a candidate biomarker for cardiovascular risk stratification
Doctor C. Schulte (Hamburg, DE)
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Differences in circulating cardiac troponin I and T in acute and chronic cardiac disease
Doctor T. Zimmermann (Basel, CH)
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Growth differentiation factor 15 at 3 months after an acute chest pain admission is associated with increased risk of death and cardiovascular events
Doctor G. Myrmel (Bergen, NO)
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Direct comparison of very early AMI rule-out algorithms
Doctor C. Pedersen (Aarhus, DK)
Abstract Slides

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Biomarkers and more

The Event

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ESC Congress 2022

26 August - 29 August 2022

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources