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
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Published in |
Brazilian Journal of Medical and Biological Research, January 2017
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DOI | 10.1590/1414-431x20176106 |
Pubmed ID | |
Authors |
G.R. Lobato, M.R. Lobato, F.S. Thomé, F.V. Veronese |
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. |
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Geographical breakdown
Country | Count | As % |
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Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 12 | 18% |
Student > Doctoral Student | 8 | 12% |
Researcher | 7 | 11% |
Student > Postgraduate | 6 | 9% |
Student > Bachelor | 5 | 8% |
Other | 12 | 18% |
Unknown | 16 | 24% |
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Engineering | 3 | 5% |
Other | 10 | 15% |
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