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- W2953025659 abstract "The aim of the case-control study was to investigate if serum biomarkers indicative of vascular inflammation and endothelial dysfunction can predict the development of microalbuminuria in patients with diabetes mellitus type 2.Among participants enrolled in the ROADMAP (Randomized Olmesartan And Diabetes MicroAlbuminuria Prevention) and observational follow-up (OFU) studies, a panel of 15 serum biomarkers was quantified from samples obtained at initiation of the study and tested for associations with the development of new-onset microalbuminuria during follow-up. A case-control study was conducted with inclusion of 172 patients with microalbuminuria and 188 matched controls. Nonparametric inferential, nonlinear regression, mediation, and bootstrapping statistical methods were used for the analysis.The median follow-up time was 37 months. At baseline, mean concentrations of C-X-C motif chemokine ligand 16 (CXCL-16), transforming growth factor (TGF)-β1 and angiopoietin-2 were higher in patients with subsequent microalbuminuria. In the multivariate analysis, after adjustment for age, sex, body mass index, glycated hemoglobin, duration of diabetes, low-density lipoprotein (LDL), smoking status, blood pressure, baseline urine albumin-to-creatinine ratio (UACR), estimated glomerular filtration rate (eGFR), time of follow-up and cardiovascular disease, CXCL-16 (odds ratio [OR] 2.60, 95% confidence interval [CI] 1.71-3.96), angiopoietin-2 (OR 1.50, 95% CI 1.14-1.98) and TGF-β1 (OR 1.03, 95% CI 1.01-1.04) remained significant predictors of new-onset microalbuminuria (P < 0.001). Inclusion of these biomarkers in conventional clinical risk models for prediction of microalbuminuria increased the area under the curve (AUC) from 0.638 to 0.760 (P < 0.001).In patients with type 2 diabetes, elevated plasma levels of CXCL-16, angiopoietin-2, and TGF-β1 are independently predictive of microalbuminuria. Thus, these serum markers improve renal risk models beyond established clinical risk factors." @default.
- W2953025659 created "2019-06-27" @default.
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- W2953025659 date "2019-10-01" @default.
- W2953025659 modified "2023-10-17" @default.
- W2953025659 title "Systemic Inflammation Precedes Microalbuminuria in Diabetes" @default.
- W2953025659 cites W1531237901 @default.
- W2953025659 cites W1566234231 @default.
- W2953025659 cites W1572212596 @default.
- W2953025659 cites W1965993210 @default.
- W2953025659 cites W1978023579 @default.
- W2953025659 cites W1985222413 @default.
- W2953025659 cites W1988212011 @default.
- W2953025659 cites W1996854381 @default.
- W2953025659 cites W1999525648 @default.
- W2953025659 cites W2002630321 @default.
- W2953025659 cites W2014277051 @default.
- W2953025659 cites W2021988356 @default.
- W2953025659 cites W2027386447 @default.
- W2953025659 cites W2049880872 @default.
- W2953025659 cites W2061238939 @default.
- W2953025659 cites W2062540429 @default.
- W2953025659 cites W2063049956 @default.
- W2953025659 cites W2074265687 @default.
- W2953025659 cites W2087238404 @default.
- W2953025659 cites W2099643746 @default.
- W2953025659 cites W2104057213 @default.
- W2953025659 cites W2104828404 @default.
- W2953025659 cites W2104918497 @default.
- W2953025659 cites W2105173724 @default.
- W2953025659 cites W2107893794 @default.
- W2953025659 cites W2108266187 @default.
- W2953025659 cites W2111663222 @default.
- W2953025659 cites W2112316706 @default.
- W2953025659 cites W2112457187 @default.
- W2953025659 cites W2112688502 @default.
- W2953025659 cites W2113065121 @default.
- W2953025659 cites W2120400691 @default.
- W2953025659 cites W2122424184 @default.
- W2953025659 cites W2129925362 @default.
- W2953025659 cites W2130505638 @default.
- W2953025659 cites W2132575282 @default.
- W2953025659 cites W2133182110 @default.
- W2953025659 cites W2136208700 @default.
- W2953025659 cites W2141011123 @default.
- W2953025659 cites W2147222003 @default.
- W2953025659 cites W2148511893 @default.
- W2953025659 cites W2151984197 @default.
- W2953025659 cites W2152318075 @default.
- W2953025659 cites W2162119341 @default.
- W2953025659 cites W2164122959 @default.
- W2953025659 cites W2166286680 @default.
- W2953025659 cites W2169506520 @default.
- W2953025659 cites W2231590221 @default.
- W2953025659 cites W2267726385 @default.
- W2953025659 cites W2292833094 @default.
- W2953025659 cites W2329850142 @default.
- W2953025659 cites W2408180145 @default.
- W2953025659 cites W2475261460 @default.
- W2953025659 cites W2477790188 @default.
- W2953025659 cites W2493936134 @default.
- W2953025659 cites W2512638651 @default.
- W2953025659 cites W2521123529 @default.
- W2953025659 cites W2521367174 @default.
- W2953025659 cites W2552060437 @default.
- W2953025659 cites W2565356178 @default.
- W2953025659 cites W2583476095 @default.
- W2953025659 cites W2585465088 @default.
- W2953025659 cites W2594748846 @default.
- W2953025659 cites W2599337831 @default.
- W2953025659 cites W2601325510 @default.
- W2953025659 cites W2604330160 @default.
- W2953025659 cites W2610715530 @default.
- W2953025659 cites W2617008493 @default.
- W2953025659 cites W2620821733 @default.
- W2953025659 cites W2717915970 @default.
- W2953025659 cites W2735777297 @default.
- W2953025659 cites W2737683273 @default.
- W2953025659 cites W2748400555 @default.
- W2953025659 cites W2762833589 @default.
- W2953025659 cites W2765976998 @default.
- W2953025659 cites W2798146738 @default.
- W2953025659 doi "https://doi.org/10.1016/j.ekir.2019.06.005" @default.
- W2953025659 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6829192" @default.
- W2953025659 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31701047" @default.
- W2953025659 hasPublicationYear "2019" @default.
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