Original Article

Kidney International (2008) 73, 863–869; doi:10.1038/sj.ki.5002715; published online 5 December 2007

Urinary biomarkers in the early diagnosis of acute kidney injury

W K Han1, S S Waikar1, A Johnson1, R A Betensky2, C L Dent3, P Devarajan4 and J V Bonventre1

  1. 1Renal Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
  2. 2Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, USA
  3. 3Department of Cardiology, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
  4. 4Department of Nephrology and Hypertension, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA

Correspondence: WK Han, Division of Nephrology, Thomas Jefferson University, 833 Chestnut Street, Suite 700, Philadelphia, Pennsylvania 19107, USA. E-mail: won.han@jefferson.edu

Received 28 March 2007; Revised 26 July 2007; Accepted 8 October 2007; Published online 5 December 2007.

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Abstract

A change in the serum creatinine is not sensitive for an early diagnosis of acute kidney injury. We evaluated urinary levels of matrix metalloproteinase-9 (MMP-9), N-acetyl-beta-D-glucosaminidase (NAG), and kidney injury molecule-1 (KIM-1) as biomarkers for the detection of acute kidney injury. Urine samples were collected from 44 patients with various acute and chronic kidney diseases, and from 30 normal subjects in a cross-sectional study. A case–control study of children undergoing cardio-pulmonary bypass surgery included urine specimens from each of 20 patients without and with acute kidney injury. Injury was defined as a greater than 50% increase in the serum creatinine within the first 48 h after surgery. The biomarkers were normalized to the urinary creatinine concentration at 12, 24, and 36 h after surgery with the areas under the receiver-operating characteristic curve compared for performance. In the cross-sectional study, the area under the curve for MMP-9 was least sensitive followed by KIM-1 and NAG. Combining all three biomarkers achieved a perfect score diagnosing acute kidney injury. In the case–control study, KIM-1 was better than NAG at all time points, but combining both was no better than KIM-1 alone. Urinary MMP-9 was not a sensitive marker in the case–control study. Our results suggest that urinary biomarkers allow diagnosis of acute kidney injury earlier than a rise in serum creatinine.

Keywords:

acute kidney injury, MMP-9, NAG, KIM-1

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