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Which elements of the complete blood count can predict the incidence of cardiovascular disease? the EPIC-NL cohort study

26 August 2017 (00:00 - 00:00)
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Congress Presentation Part of: From telomere length to machine learning - News in risk prediction Biomarkers ESC Premium Access ESC Congress 2017

About the speaker

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Doctor Camille Lassale

Barcelona Institute for Global Health - ISGlobal, Barcelona (Spain)

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Radiation and non-radiation risk factors including polymorphism rs966221 of phosphodiesterase 4D gene and coronary heart disease development in clean-up workers of the Chernobyl accident
Doctor O. Bazyka (Kiev, UA)
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Early coronary arteries atherosclerosis in young patients with seronegative spondyloarthropathies, coronary computed tomography angiography study.
Associate Professor R. Dabrowski (Warsaw, PL)
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High-sensitivity troponin I predicts the risk of adverse outcomes in patients with chronic kidney disease
Doctor P. Sandesara (Atlanta, US)
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Evaluation of coronary artery calcium score for statin treatment strategy according to ESC guidelines in asymptomatic asian adults
Doctor J. Lee (Goyang, KR)
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The Duke treadmill score in assessing the prognosis of patients tested with bicycle ergometer
Mr E. Salokari (Helsinki, FI)
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Access the full session

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From telomere length to machine learning - News in risk prediction

The Event

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ESC Congress 2017

26 August - 30 August 2017

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources