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Braz. j. med. biol. res ; 50(5): e6106, 2017. tab
Article in English | LILACS | ID: biblio-839292

ABSTRACT

Urinary biomarkers can predict the progression of chronic kidney disease (CKD). In this study, kidney injury molecule-1 (KIM-1), neutrophil gelatinase-associated lipocalin (NGAL), and N-acetyl-β-D-glucosaminidase (NAG) were correlated with the stages of CKD, and the association of these biomarkers with CKD progression and adverse outcomes was determined. A total of 250 patients, including 111 on hemodialysis, were studied. Urinary KIM-1, NGAL, and NAG were measured at baseline. Patients not on dialysis at baseline who progressed to a worse CKD stage were compared with those who did not progress. The association of each biomarker and selected covariates with progression to more advanced stages of CKD, end-stage kidney disease, or death was evaluated by Poisson regression. NGAL was moderately correlated (rs=0.467, P<0.001) with the five stages of CKD; KIM-1 and NAG were also correlated, but weakly. Sixty-four patients (46%) progressed to a more advanced stage of CKD. Compared to non-progressors, those patients exhibited a trend to higher levels of KIM-1 (P=0.064) and NGAL (P=0.065). In patients not on dialysis at baseline, NGAL was independently associated with progression of CKD, ESKD, or death (RR=1.022 for 300 ng/mL intervals; CI=1.007-1.037, P=0.004). In patients on dialysis, for each 300-ng/mL increase in urinary NGAL, there was a 1.3% increase in the risk of death (P=0.039). In conclusion, urinary NGAL was associated with adverse renal outcomes and increased risk of death in this cohort. If baseline urinary KIM-1 and NGAL predict progression to worse stages of CKD is something yet to be explored.


Subject(s)
Humans , Male , Female , Adult , Middle Aged , Aged , Acetylglucosaminidase/urine , Hepatitis A Virus Cellular Receptor 1/analysis , Lipocalin-2/urine , Renal Insufficiency, Chronic/pathology , Renal Insufficiency, Chronic/urine , Age Factors , Analysis of Variance , Biomarkers/urine , Creatinine/blood , Creatinine/urine , Disease Progression , Glomerular Filtration Rate , Predictive Value of Tests , Reference Standards , Reference Values , Renal Dialysis , Renal Insufficiency, Chronic/complications , Renal Insufficiency, Chronic/physiopathology , Reproducibility of Results , Risk Factors , Sex Factors , Statistics, Nonparametric
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