Print page Print page
Switch language
The Capital Region of Denmark - a part of Copenhagen University Hospital

Application of urinary proteomics as possible risk predictor of renal and cardiovascular complications in patients with type 2-diabetes and microalbuminuria

Research output: Contribution to journalJournal articleResearchpeer-review

  1. Carotid-femoral pulse wave velocity is a risk marker for complications in persons with type 1 diabetes

    Research output: Contribution to conferenceConference abstract for conferenceResearch

  2. Mitigating risk of aldosterone in diabetic kidney disease

    Research output: Contribution to journalReviewResearchpeer-review

  3. Linking glycemic dysregulation in diabetes to symptoms, comorbidities, and genetics through EHR data mining

    Research output: Contribution to journalJournal articleResearchpeer-review

  4. The effect of needle tenotomy on hammer, mallet and claw toe deformities in patients with diabetes, a retrospective study

    Research output: Contribution to journalJournal articleResearchpeer-review

View graph of relations

BACKGROUND: Analyses of the urinary proteome have been proposed as a novel approach for early assessment of increased risk of renal- or cardiovascular disease. Here we investigate the potentials of various classifiers derived from urinary proteomics for prediction of renal and cardiovascular comorbidities in patients with type 2-diabetes.

METHODS: The study was a post hoc analysis of the randomized controlled Steno-2 trial comparing intensified multifactorial intervention to conventional treatment of type 2-diabetes and microalbuminuria. 151 diabetic patients with persistent microalbuminuria were included in year 1995 and followed for up to 19 years. For renal outcomes, two classifiers (CKD273 and a novel, GFR-based classifier) and for cardiovascular outcomes, three classifiers (CAD238, ACSP and ACSP75) were applied. Renal endpoints were progression to macroalbuminuria, impaired renal function (GFR < 45 ml/min/1.73 m2) or progression to end stage renal disease (ESRD) or death. Cardiovascular endpoints were coronary artery disease and a composite endpoint of incident death of cardiovascular disease, myocardial infarction or revascularization, stroke, amputation or peripheral revascularization.

RESULTS: CKD273 was not consistently associated with renal outcomes. The GFR-based classifier was associated with impaired renal function, but lost significance in extensively adjusted models. Both the ACSP75 and ACSP-scores, but not the CAD238-score were inversely associated (opposing the hypothesis) with cardiovascular endpoints. None of the classifiers improved prediction of any outcome on top of standard risk factors.

CONCLUSIONS: Risk-scores based upon urinary proteomics did not improve prediction of renal and cardiovascular endpoints on top of standard risk factors such as age and GFR during long-term (19 years) follow up in patients with type 2-diabetes and microalbuminuria.

Original languageEnglish
JournalJournal of Diabetes and its Complications
Issue number12
Pages (from-to)1133-1140
Number of pages8
Publication statusPublished - 1 Dec 2018

ID: 55399356