| Autor: |
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 |
| Jazyk: |
angličtina |
| Rok vydání: |
2018 |
| Předmět: |
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| Zdroj: |
Cardiovascular Diabetology, Vol 17, Iss 1, Pp 1-8 (2018) |
| Druh dokumentu: |
article |
| ISSN: |
1475-2840 |
| DOI: |
10.1186/s12933-018-0697-9 |
| Popis: |
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 155 patients with type 2 diabetes and confirmed microalbuminuria. Proteomic analysis was undertaken using capillary electrophoresis coupled to mass spectrometry to determine the CKD273 classifier score. A previously defined CKD273 threshold of 0.343 for identification of DN was used to categorise the cohort in Kaplan–Meier and Cox regression models with all-cause mortality as the primary endpoint. Outcomes were traced through national health registers after 6 years. Results CKD273 correlated with urine albumin excretion rate (UAER) (r = 0.481, p = |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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