Urinary proteomics for prediction of mortality in patients with type 2 diabetes and microalbuminuria

Urinary proteomics for prediction of mortality in patients with type 2 diabetes and microalbuminuria

Abstract Background The urinary proteomic classifier CKD273 has shown promise for prediction of progressive diabetic nephropathy (DN). Whether it is also a determinant of mortality and cardiovascular disease in patients with microalbuminuria (MA) is unknown. Methods Urine samples were obtained from...

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Bibliographic Details
Main Authors: Gemma E. Currie, Bernt Johan von Scholten, Sheon Mary, Jose-Luis Flores Guerrero, Morten Lindhardt, Henrik Reinhard, Peter K. Jacobsen, William Mullen, Hans-Henrik Parving, Harald Mischak, Peter Rossing, Christian Delles
Format: Article
Language:English
Published: BioMed Central 2018-04-01
Series:Cardiovascular Diabetology
Subjects:
Diabetes
Microalbuminuria
Proteomics
Mortality
Biomarkers
Online Access:http://link.springer.com/article/10.1186/s12933-018-0697-9

Internet

http://link.springer.com/article/10.1186/s12933-018-0697-9

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