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Performance of urinary kidney injury molecule-1, neutrophil gelatinase-associated lipocalin, and N-acetyl-β-D-glucosaminidase to predict chronic kidney disease progression and adverse outcomes

Brazilian journal of medical and biological research, 2017-01, Vol.50 (5), p.e6106-e6106 [Peer Reviewed Journal]

This work is licensed under a Creative Commons Attribution 4.0 International License. ;ISSN: 0100-879X ;ISSN: 1414-431X ;EISSN: 1414-431X ;DOI: 10.1590/1414-431X20176106 ;PMID: 28380198

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Title:
Performance of urinary kidney injury molecule-1, neutrophil gelatinase-associated lipocalin, and N-acetyl-β-D-glucosaminidase to predict chronic kidney disease progression and adverse outcomes
Author: Lobato, G R ; Lobato, M R ; Thomé, F S ; Veronese, F V
Subjects: Acetylglucosaminidase - urine ; Adult ; Age Factors ; Aged ; Analysis of Variance ; BIOLOGY ; Biomarkers ; Biomarkers - urine ; Chronic kidney disease ; Clinical Investigation ; Creatinine - blood ; Creatinine - urine ; Disease Progression ; Female ; Glomerular Filtration Rate ; Hemodialysis ; Hepatitis A Virus Cellular Receptor 1 - analysis ; Humans ; Kidney injury molecule-1 ; Lipocalin-2 - urine ; Male ; MEDICINE, RESEARCH & EXPERIMENTAL ; Middle Aged ; N-acetyl-β-D-glucosaminidase ; Neutrophil gelatinase-associated lipocalin ; Predictive Value of Tests ; Reference Standards ; Reference Values ; Renal Dialysis ; Renal Insufficiency, Chronic - complications ; Renal Insufficiency, Chronic - pathology ; Renal Insufficiency, Chronic - physiopathology ; Renal Insufficiency, Chronic - urine ; Reproducibility of Results ; Risk Factors ; Sex Factors ; Statistics, Nonparametric
Is Part Of: Brazilian journal of medical and biological research, 2017-01, Vol.50 (5), p.e6106-e6106
Description: 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.
Publisher: Brazil: Associação Brasileira de Divulgação Científica
Language: English;Portuguese
Identifier: ISSN: 0100-879X
ISSN: 1414-431X
EISSN: 1414-431X
DOI: 10.1590/1414-431X20176106
PMID: 28380198
Source: Open Access: PubMed Central
SciELO
Geneva Foundation Free Medical Journals at publisher websites
MEDLINE
DOAJ Directory of Open Access Journals

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Performance of urinary kidney injury molecule-1, neutrophil gelatinase-associated lipocalin, and N-acetyl-β-D-glucosaminidase to predict chronic kidney disease progression and adverse outcomes

This work is licensed under a Creative Commons Attribution 4.0 International License. ;ISSN: 0100-879X ;ISSN: 1414-431X ;EISSN: 1414-431X ;DOI: 10.1590/1414-431X20176106 ;PMID: 28380198

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