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 |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2017
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Materias: | |
Acceso en línea: | https://doaj.org/article/8d23345ba0f04e5e87a08600de888918 |
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