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

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• 作者：Chi-yuan Hsu¹ ; ² ; ^{hsuchi@medicine.ucsf.edu} ; Dawei Xie³ ; Sushrut S. Waikar⁴ ; Joseph V. Bonventre⁴ ; Xiaoming Zhang³ ; Venkata Sabbisetti⁴ ; Theodore E. Mifflin³ ; Josef Coresh⁵ ; Clarissa J. Diamantidis⁶ ; Jiang He⁷ ; Claudia M. Lora⁸ ; Edgar R. Miller⁵ ; Robert G. Nelson⁹ ; Akinlolu O. Ojo¹⁰ ; Mahboob Rahman¹¹ ; Jeffrey R. Schelling¹¹ ; Francis P. Wilson¹² ; Paul L. Kimmel¹³ ; Harold I. Feldman³ ; Ramachandran S. Vasan¹⁴ ; Kathleen D. Liu¹ ; ; the CRIC Study Investigators¹⁵ ; Lawrence J. Appel ; Harold I. Feldman ; Alan S. Go ; Jiang He ; John W. Kusek ; James P. Lash ; Akinlolu Ojo ; Mahboob Rahman ; Raymond R. Townsend
• 关键词：chronic kidney disease ; microalbuminuria ; proteinuria
• 刊名：Kidney International
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：91
• 期：1
• 页码：196-203
• 全文大小：602 K
• 卷排序：91

文摘

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.