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

Publication ,  Journal Article
Hsu, C-Y; Xie, D; Waikar, SS; Bonventre, JV; Zhang, X; Sabbisetti, V; Mifflin, TE; Coresh, J; Diamantidis, CJ; He, J; Lora, CM; Miller, ER ...
Published in: Kidney Int
January 2017

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.

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Published In

Kidney Int

DOI

EISSN

1523-1755

Publication Date

January 2017

Volume

91

Issue

1

Start / End Page

196 / 203

Location

United States

Related Subject Headings

  • Urology & Nephrology
  • Risk Factors
  • Risk Assessment
  • Renal Insufficiency, Chronic
  • Prospective Studies
  • Proportional Hazards Models
  • Middle Aged
  • Male
  • Lipocalin-2
  • Kidney Tubules
 

Citation

APA
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ICMJE
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Hsu, C.-Y., Xie, D., Waikar, S. S., Bonventre, J. V., Zhang, X., Sabbisetti, V., … CKD Biomarkers Consortium, . (2017). Urine biomarkers of tubular injury do not improve on the clinical model predicting chronic kidney disease progression. Kidney Int, 91(1), 196–203. https://doi.org/10.1016/j.kint.2016.09.003
Hsu, Chi-Yuan, Dawei Xie, Sushrut S. Waikar, Joseph V. Bonventre, Xiaoming Zhang, Venkata Sabbisetti, Theodore E. Mifflin, et al. “Urine biomarkers of tubular injury do not improve on the clinical model predicting chronic kidney disease progression.Kidney Int 91, no. 1 (January 2017): 196–203. https://doi.org/10.1016/j.kint.2016.09.003.
Hsu C-Y, Xie D, Waikar SS, Bonventre JV, Zhang X, Sabbisetti V, et al. Urine biomarkers of tubular injury do not improve on the clinical model predicting chronic kidney disease progression. Kidney Int. 2017 Jan;91(1):196–203.
Hsu, Chi-Yuan, et al. “Urine biomarkers of tubular injury do not improve on the clinical model predicting chronic kidney disease progression.Kidney Int, vol. 91, no. 1, Jan. 2017, pp. 196–203. Pubmed, doi:10.1016/j.kint.2016.09.003.
Hsu C-Y, Xie D, Waikar SS, Bonventre JV, Zhang X, Sabbisetti V, Mifflin TE, Coresh J, Diamantidis CJ, He J, Lora CM, Miller ER, Nelson RG, Ojo AO, Rahman M, Schelling JR, Wilson FP, Kimmel PL, Feldman HI, Vasan RS, Liu KD, CRIC Study Investigators, CKD Biomarkers Consortium. Urine biomarkers of tubular injury do not improve on the clinical model predicting chronic kidney disease progression. Kidney Int. 2017 Jan;91(1):196–203.
Journal cover image

Published In

Kidney Int

DOI

EISSN

1523-1755

Publication Date

January 2017

Volume

91

Issue

1

Start / End Page

196 / 203

Location

United States

Related Subject Headings

  • Urology & Nephrology
  • Risk Factors
  • Risk Assessment
  • Renal Insufficiency, Chronic
  • Prospective Studies
  • Proportional Hazards Models
  • Middle Aged
  • Male
  • Lipocalin-2
  • Kidney Tubules