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 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?=?<0.001), age (r?=?0.238, p?=?0.003), coronary artery calcium (CAC) score (r?=?0.236, p?=?0.003), N-terminal pro-brain natriuretic peptide (NT-proBNP) (r?=?0.190, p?=?0.018) and estimated glomerular filtration rate (eGFR) (r?=?0.265, p?=?0.001). On multivariate analysis only UAER (??=?0.402, p?

SUBMITTER: Currie GE 

PROVIDER: S-EPMC5889591 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature