Literature DB >> 21412214

Urinary neutrophil gelatinase-associated lipocalin distinguishes pre-renal from intrinsic renal failure and predicts outcomes.

Eugenia Singer1, Antje Elger, Saban Elitok, Ralph Kettritz, Thomas L Nickolas, Jonathan Barasch, Friedrich C Luft, Kai M Schmidt-Ott.   

Abstract

In established acute kidney injury (AKI), serum creatinine poorly differentiates prerenal from intrinsic AKI. In this study, we tested whether urinary neutrophil gelatinase-associated lipocalin (NGAL) distinguishes between intrinsic and prerenal AKI, and tested its performance in predicting a composite outcome that included progression to a higher RIFLE (Risk, Injury, Failure, Loss of function, End stage renal disease) class, dialysis, or death. Urinary NGAL was measured using a standardized clinical platform in 161 hospitalized patients with established AKI. Sixteen patients were excluded because of postrenal obstruction or insufficient clinical information. Of the remaining 145 patients, 75 had intrinsic AKI, 32 had prerenal AKI, and 38 patients could not be classified. Urinary NGAL levels effectively discriminated between intrinsic and prerenal AKI (area under the receiver-operating characteristic curve 0.87). An NGAL level over 104 μg/l indicated intrinsic AKI (likelihood ratio 5.97), whereas an NGAL level <47 μg/l made intrinsic AKI unlikely (likelihood ratio 0.2). Patients experiencing the composite outcome had significantly higher median urinary NGAL levels on inclusion. In logistic regression analysis, NGAL independently predicted the composite outcome when corrected for demographics, comorbidities, creatinine, and RIFLE class. Hence, urinary NGAL is useful in classifying and stratifying patients with established AKI.

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Year:  2011        PMID: 21412214      PMCID: PMC3870593          DOI: 10.1038/ki.2011.41

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


  29 in total

1.  Urine neutrophil gelatinase-associated lipocalin: an independent predictor of adverse outcomes in acute kidney injury.

Authors:  Ha Na Yang; Chang Soo Boo; Myung-Gyu Kim; Sang-Kyung Jo; Won Yong Cho; Hyoung-Kyu Kim
Journal:  Am J Nephrol       Date:  2010-05-04       Impact factor: 3.754

2.  Neutrophil gelatinase-associated lipocalin in adult septic patients with and without acute kidney injury.

Authors:  Johan Mårtensson; Max Bell; Anders Oldner; Shengyuan Xu; Per Venge; Claes-Roland Martling
Journal:  Intensive Care Med       Date:  2010-04-16       Impact factor: 17.440

3.  Evaluation of the ARCHITECT urine NGAL assay: assay performance, specimen handling requirements and biological variability.

Authors:  Frank C Grenier; Salman Ali; Hina Syed; Ryan Workman; Frans Martens; Ming Liao; Y Wang; Pui-Yuen Wong
Journal:  Clin Biochem       Date:  2009-12-21       Impact factor: 3.281

4.  Significance of the fractional excretion of urea in the differential diagnosis of acute renal failure.

Authors:  Christos P Carvounis; Sabeeha Nisar; Samerah Guro-Razuman
Journal:  Kidney Int       Date:  2002-12       Impact factor: 10.612

Review 5.  Review: neutrophil gelatinase-associated lipocalin: a troponin-like biomarker for human acute kidney injury.

Authors:  Prasad Devarajan
Journal:  Nephrology (Carlton)       Date:  2010-06       Impact factor: 2.506

Review 6.  Tubular proteinuria in acute kidney injury: a critical evaluation of current status and future promise.

Authors:  Chirag R Parikh; Jonathan C Lu; Steven G Coca; Prasad Devarajan
Journal:  Ann Clin Biochem       Date:  2010-05-28       Impact factor: 2.057

7.  Plasma and urine neutrophil gelatinase-associated lipocalin in septic versus non-septic acute kidney injury in critical illness.

Authors:  Sean M Bagshaw; Michael Bennett; Michael Haase; Anja Haase-Fielitz; Moritoki Egi; Hiroshi Morimatsu; Giuseppe D'amico; Donna Goldsmith; Prasad Devarajan; Rinaldo Bellomo
Journal:  Intensive Care Med       Date:  2009-12-03       Impact factor: 17.440

8.  Serum neutrophil gelatinase-associated lipocalin at inception of renal replacement therapy predicts survival in critically ill patients with acute kidney injury.

Authors:  Philipp Kümpers; Carsten Hafer; Alexander Lukasz; Ralf Lichtinghagen; Korbinian Brand; Danilo Fliser; Robert Faulhaber-Walter; Jan T Kielstein
Journal:  Crit Care       Date:  2010-02-01       Impact factor: 9.097

9.  Urinary liver-type fatty acid-binding protein predicts adverse outcomes in acute kidney injury.

Authors:  Michael A Ferguson; Vishal S Vaidya; Sushrut S Waikar; Fitz B Collings; Kelsey E Sunderland; Costas J Gioules; Joseph V Bonventre
Journal:  Kidney Int       Date:  2009-11-25       Impact factor: 10.612

10.  Prerenal failure: from old concepts to new paradigms.

Authors:  Etienne Macedo; Ravindra L Mehta
Journal:  Curr Opin Crit Care       Date:  2009-12       Impact factor: 3.687

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  76 in total

Review 1.  NGAL-Siderocalin in kidney disease.

Authors:  Neal Paragas; Andong Qiu; Maria Hollmen; Thomas L Nickolas; Prasad Devarajan; Jonathan Barasch
Journal:  Biochim Biophys Acta       Date:  2012-06-19

Review 2.  Acute kidney injury in HCT: an update.

Authors:  J A Lopes; S Jorge; M Neves
Journal:  Bone Marrow Transplant       Date:  2016-02-08       Impact factor: 5.483

3.  Is it time to evolve past the prerenal azotemia versus acute tubular necrosis classification?

Authors:  Justin M Belcher; Chirag R Parikh
Journal:  Clin J Am Soc Nephrol       Date:  2011-09-15       Impact factor: 8.237

4.  Comparison between the effects of hydrochlorothiazide and indapamide on the kidney in hypertensive patients inadequately controlled with losartan.

Authors:  S Wang; J Li; X Zhou; K Liu; X Zhang; Q Meng; R Shi; D Shi; X Chen
Journal:  J Hum Hypertens       Date:  2017-07-13       Impact factor: 3.012

5.  Urinary KIM-1, NGAL and L-FABP for the diagnosis of AKI in patients with acute coronary syndrome or heart failure undergoing coronary angiography.

Authors:  Isidro Torregrosa; Carmina Montoliu; Amparo Urios; María Jesús Andrés-Costa; Carla Giménez-Garzó; Isabel Juan; María Jesús Puchades; María Luisa Blasco; Arturo Carratalá; Rafael Sanjuán; Alfonso Miguel
Journal:  Heart Vessels       Date:  2014-07-03       Impact factor: 2.037

Review 6.  Biomarkers for the Early Detection and Prognosis of Acute Kidney Injury.

Authors:  Rakesh Malhotra; Edward D Siew
Journal:  Clin J Am Soc Nephrol       Date:  2016-11-08       Impact factor: 8.237

7.  Have renal biomarkers failed in acute kidney injury? Yes.

Authors:  Jill Vanmassenhove; Jan T Kielstein; Marlies Ostermann
Journal:  Intensive Care Med       Date:  2017-04-24       Impact factor: 17.440

Review 8.  Perspective on Clinical Application of Biomarkers in AKI.

Authors:  Chirag R Parikh; Sherry G Mansour
Journal:  J Am Soc Nephrol       Date:  2017-02-20       Impact factor: 10.121

9.  Biomarkers predict progression of acute kidney injury after cardiac surgery.

Authors:  Jay L Koyner; Amit X Garg; Steven G Coca; Kyaw Sint; Heather Thiessen-Philbrook; Uptal D Patel; Michael G Shlipak; Chirag R Parikh
Journal:  J Am Soc Nephrol       Date:  2012-03-01       Impact factor: 10.121

Review 10.  The Japanese clinical practice guideline for acute kidney injury 2016.

Authors:  Kent Doi; Osamu Nishida; Takashi Shigematsu; Tomohito Sadahiro; Noritomo Itami; Kunitoshi Iseki; Yukio Yuzawa; Hirokazu Okada; Daisuke Koya; Hideyasu Kiyomoto; Yugo Shibagaki; Kenichi Matsuda; Akihiko Kato; Terumasa Hayashi; Tomonari Ogawa; Tatsuo Tsukamoto; Eisei Noiri; Shigeo Negi; Koichi Kamei; Hirotsugu Kitayama; Naoki Kashihara; Toshiki Moriyama; Yoshio Terada
Journal:  Clin Exp Nephrol       Date:  2018-10       Impact factor: 2.801

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