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Glycemic variability, but not Hb1Ac, is associated with high SYNTAX scores at the acute phase of myocardial infarction in diabetic patients treated with insulin infusion

26 August 2017 (00:00 - 00:00)
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Congress Presentation Part of: Cardiovascular risk prediction models: for improvement? Diabetes, dysglycaemia and metabolic syndrome ESC Premium Access ESC Congress 2017

About the speaker

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Mr Mourad Benalia

Dijon (France)

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Serum hyperuricemia determination improves risk prediction of GRACE score in people with acute coronary syndrome.
Mrs A. Lopez Pineda (San Juan, ES)
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Creating a prediction model to identify patients at high risk of undetected non-valvular atrial fibrillation
Professor M. Haim (Beer Sheva, IL)
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Adding risk factors profile to pain characteristics does not increase the predictive power for coronary artery disease in chest pain patients
Doctor S. Thiru (Leeds, GB)
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Improving the value of clinical variables in the assessment of cardiovascular risk using Artificial Neural Networks
Doctor L. Juarez-Orozco (Utrecht, NL)
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Cardiovascular risk prediction models: for improvement?

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