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PubMed ID:
23344473
Public Release Type:
Journal
Publication Year: 2013
Affiliation: Division of Nephrology, University of California, San Francisco, San Francisco, California, USA.
DOI:
https://doi.org/10.1038/ki.2012.458
Authors:
Liu KD,
Yang W,
Anderson AH,
Feldman HI,
Demirjian S,
Hamano T,
He J,
Lash J,
Lustigova E,
Rosas SE,
Simonson MS,
Tao K,
Hsu CY,
Chronic Renal Insufficiency Cohort (CRIC) study investigators
Studies:
Chronic Renal Insufficiency Cohort Study
Novel biomarkers may improve our ability to predict which patients with chronic kidney disease (CKD) are at higher risk for progressive loss of renal function. Here, we assessed the performance of urine neutrophil gelatinase-associated lipocalin (NGAL) for outcome prediction in a diverse cohort of 3386 patients with CKD in the Chronic Renal Insufficiency Cohort study. In this cohort, the baseline mean estimated glomerular filtration rate (eGFR) was 42.4 ml/min per 1.73 m(2), the median 24-h urine protein was 0.2 g/day, and the median urine NGAL concentration was 17.2 ng/ml. Over an average follow-up of 3.2 years, there were 689 cases in which the eGFR was decreased by half or incident end-stage renal disease developed. Even after accounting for eGFR, proteinuria, and other known CKD progression risk factors, urine NGAL remained a significant independent risk factor (Cox model hazard ratio 1.70 highest to lowest quartile). The association between baseline urine NGAL levels and risk of CKD progression was strongest in the first 2 years of biomarker measurement. Within this time frame, adding urine NGAL to a model that included eGFR, proteinuria, and other CKD progression risk factors led to net reclassification improvement of 24.7%, but the C-statistic remained nearly identical. Thus, while urine NGAL was an independent risk factor of progression among patients with established CKD of diverse etiology, it did not substantially improve prediction of outcome events.
