Refining Long-Term Prediction of Cardiovascular Risk in Diabetes – The VILDIA Score

Abstract Cardiovascular risk assessment in patients with diabetes relies on traditional risk factors. However, numerous novel biomarkers have been found to be independent predictors of cardiovascular disease, which might significantly improve risk prediction in diabetic patients. We aimed to improve...

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Autores principales: Georg Goliasch, Günther Silbernagel, Marcus E. Kleber, Tanja B. Grammer, Stefan Pilz, Andreas Tomaschitz, Philipp E. Bartko, Gerald Maurer, Wolfgang Koenig, Alexander Niessner, Winfried März
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/8d23345ba0f04e5e87a08600de888918
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