Literature DB >> 28029431

Urine biomarkers of tubular injury do not improve on the clinical model predicting chronic kidney disease progression.

Chi-Yuan Hsu1, Dawei Xie2, Sushrut S Waikar3, Joseph V Bonventre3, Xiaoming Zhang2, Venkata Sabbisetti3, Theodore E Mifflin2, Josef Coresh4, Clarissa J Diamantidis5, Jiang He6, Claudia M Lora7, Edgar R Miller4, Robert G Nelson8, Akinlolu O Ojo9, Mahboob Rahman10, Jeffrey R Schelling10, Francis P Wilson11, Paul L Kimmel12, Harold I Feldman2, Ramachandran S Vasan13, Kathleen D Liu14.   

Abstract

Few investigations have evaluated the incremental usefulness of tubular injury biomarkers for improved prediction of chronic kidney disease (CKD) progression. As such, we measured urinary kidney injury molecule-1, neutrophil gelatinase-associated lipocalin, N-acetyl-ß-D-glucosaminidase and liver fatty acid binding protein under highly standardized conditions among 2466 enrollees of the prospective Chronic Renal Insufficiency Cohort Study. During 9433 person-years of follow-up, there were 581 cases of CKD progression defined as incident end-stage renal disease or halving of the estimated glomerular filtration rate. Levels of the urine injury biomarkers, normalized for urine creatinine, were strongly associated with CKD progression in unadjusted Cox proportional hazard models with hazard ratios in the range of 7 to 15 comparing the highest with the lowest quintiles. However, after controlling for the serum creatinine-based estimated glomerular filtration rate and urinary albumin/creatinine ratio, none of the normalized biomarkers was independently associated with CKD progression. None of the biomarkers improved on the high (0.89) C-statistic for the base clinical model. Thus, among patients with CKD, risk prediction with a clinical model that includes the serum creatinine-based estimated glomerular filtration rate and the urinary albumin/creatinine ratio is not improved on with the addition of renal tubular injury biomarkers.
Copyright © 2016 International Society of Nephrology. All rights reserved.

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Keywords:  chronic kidney disease; microalbuminuria; proteinuria

Mesh:

Substances:

Year:  2016        PMID: 28029431      PMCID: PMC5362331          DOI: 10.1016/j.kint.2016.09.003

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


  67 in total

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Journal:  HIV Med       Date:  2013-12-03       Impact factor: 3.180

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7.  Dickkopf-3 (DKK3) in Urine Identifies Patients with Short-Term Risk of eGFR Loss.

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