Literature DB >> 17267747

Urinary N-acetyl-beta-(D)-glucosaminidase activity and kidney injury molecule-1 level are associated with adverse outcomes in acute renal failure.

Orfeas Liangos1, Mary C Perianayagam, Vishal S Vaidya, Won K Han, Ron Wald, Hocine Tighiouart, Robert W MacKinnon, Lijun Li, Vaidyanathapuram S Balakrishnan, Brian J G Pereira, Joseph V Bonventre, Bertrand L Jaber.   

Abstract

The role of urinary biomarkers of kidney injury in the prediction of adverse clinical outcomes in acute renal failure (ARF) has not been well described. The relationship between urinary N-acetyl-beta-(D)-glucosaminidase activity (NAG) and kidney injury molecule-1 (KIM-1) level and adverse clinical outcomes was evaluated prospectively in a cohort of 201 hospitalized patients with ARF. NAG was measured by spectrophotometry, and KIM-1 was measured by a microsphere-based Luminex technology. Mean Acute Physiology, Age, Chronic Health Evaluation II (APACHE II) score was 16, 43% had sepsis, 39% required dialysis, and hospital mortality was 24%. Urinary NAG and KIM-1 increased in tandem with APACHE II and Multiple Organ Failure scores. Compared with patients in the lowest quartile of NAG, the second, third, and fourth quartile groups had 3.0-fold (95% confidence interval [CI] 1.3 to 7.2), 3.7-fold (95% CI 1.6 to 8.8), and 9.1-fold (95% CI 3.7 to 22.7) higher odds, respectively, for dialysis requirement or hospital death (P < 0.001). This association persisted after adjustment for APACHE II, Multiple Organ Failure score, or the combined covariates cirrhosis, sepsis, oliguria, and mechanical ventilation. Compared with patients in the lowest quartile of KIM-1, the second, third, and fourth quartile groups had 1.4-fold (95% CI 0.6 to 3.0), 1.4-fold (95% CI 0.6 to 3.0), and 3.2-fold (95% CI 1.4 to 7.4) higher odds, respectively, for dialysis requirement or hospital death (P = 0.034). NAG or KIM-1 in combination with the covariates cirrhosis, sepsis, oliguria, and mechanical ventilation yielded an area under the receiver operator characteristic curve of 0.78 (95% CI 0.71 to 0.84) in predicting the composite outcome. Urinary markers of kidney injury such as NAG and KIM-1 can predict adverse clinical outcomes in patients with ARF.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17267747     DOI: 10.1681/ASN.2006030221

Source DB:  PubMed          Journal:  J Am Soc Nephrol        ISSN: 1046-6673            Impact factor:   10.121


  157 in total

Review 1.  Pharmacological targets in the renal peritubular microenvironment: implications for therapy for sepsis-induced acute kidney injury.

Authors:  Philip R Mayeux; Lee Ann MacMillan-Crow
Journal:  Pharmacol Ther       Date:  2012-01-16       Impact factor: 12.310

2.  Urinary calprotectin, kidney injury molecule-1, and neutrophil gelatinase-associated lipocalin for the prediction of adverse outcome in pediatric acute kidney injury.

Authors:  Jens H Westhoff; Felix S Seibert; Sina Waldherr; Frederic Bauer; Burkhard Tönshoff; Alexander Fichtner; Timm H Westhoff
Journal:  Eur J Pediatr       Date:  2017-04-14       Impact factor: 3.183

3.  Emerging urinary biomarkers in the diagnosis of acute kidney injury.

Authors:  Prasad Devarajan
Journal:  Expert Opin Med Diagn       Date:  2008-04

4.  Urinary sediment cast scoring index for acute kidney injury: a pilot study.

Authors:  Lakhmir S Chawla; Aaron Dommu; Alexandra Berger; Shirley Shih; Samir S Patel
Journal:  Nephron Clin Pract       Date:  2008-10-27

Review 5.  Early detection of diabetic kidney disease: Present limitations and future perspectives.

Authors:  Chih-Hung Lin; Yi-Cheng Chang; Lee-Ming Chuang
Journal:  World J Diabetes       Date:  2016-07-25

6.  Performance of urinary liver-type fatty acid-binding protein in acute kidney injury: a meta-analysis.

Authors:  Paweena Susantitaphong; Monchai Siribamrungwong; Kent Doi; Eisei Noiri; Norma Terrin; Bertrand L Jaber
Journal:  Am J Kidney Dis       Date:  2012-12-08       Impact factor: 8.860

7.  Tubular expression of KIM-1 does not predict delayed function after transplantation.

Authors:  Bernd Schröppel; Bernd Krüger; Liron Walsh; Melissa Yeung; Shay Harris; Krista Garrison; Jonathan Himmelfarb; Susan M Lerner; Jonathan S Bromberg; Ping L Zhang; Joseph V Bonventre; Zhu Wang; Alton B Farris; Robert B Colvin; Barbara T Murphy; John P Vella
Journal:  J Am Soc Nephrol       Date:  2009-12-17       Impact factor: 10.121

Review 8.  Biomarkers in nephrology: Core Curriculum 2013.

Authors:  Gearoid M McMahon; Sushrut S Waikar
Journal:  Am J Kidney Dis       Date:  2013-02-27       Impact factor: 8.860

Review 9.  Biomarkers of acute kidney injury.

Authors:  Charles L Edelstein
Journal:  Adv Chronic Kidney Dis       Date:  2008-07       Impact factor: 3.620

10.  Urine microscopy is associated with severity and worsening of acute kidney injury in hospitalized patients.

Authors:  Mark A Perazella; Steven G Coca; Isaac E Hall; Umo Iyanam; Madiha Koraishy; Chirag R Parikh
Journal:  Clin J Am Soc Nephrol       Date:  2010-01-14       Impact factor: 8.237

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.