Literature DB >> 20026020

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

Frank C Grenier1, Salman Ali, Hina Syed, Ryan Workman, Frans Martens, Ming Liao, Y Wang, Pui-Yuen Wong.   

Abstract

OBJECTIVES: NGAL (Neutrophil Gelatinase-Associated Lipocalin) has emerged as a new biomarker for the identification of acute kidney injury. Reliable clinical evaluations require a simple, robust test method for NGAL, and knowledge of specimen handling and specimen stability characteristics. We evaluated the performance of a new urine NGAL assay on the ARCHITECT analyzer.
METHODS: Assay performance characteristics were evaluated using standard protocols. Urine specimen storage requirements were determined and biological variability was assessed in a self-declared apparently healthy population.
RESULTS: Assay performance data showed good precision, sensitivity and lot-to-lot reproducibility. There was good short term 2-8 degrees C sample stability, however, long term storage samples must be kept at -70 degrees C or colder. The largest variance component in a biological variance study was within-day.
CONCLUSIONS: The ARCHITECT NGAL assay proved to be a precise and reproducible assay for the determination of urine NGAL. Copyright 2009 The Canadian Society of Clinical Chemists. All rights reserved.

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Year:  2009        PMID: 20026020     DOI: 10.1016/j.clinbiochem.2009.12.008

Source DB:  PubMed          Journal:  Clin Biochem        ISSN: 0009-9120            Impact factor:   3.281


  41 in total

1.  Postoperative biomarkers predict acute kidney injury and poor outcomes after adult cardiac surgery.

Authors:  Chirag R Parikh; Steven G Coca; Heather Thiessen-Philbrook; Michael G Shlipak; Jay L Koyner; Zhu Wang; Charles L Edelstein; Prasad Devarajan; Uptal D Patel; Michael Zappitelli; Catherine D Krawczeski; Cary S Passik; Madhav Swaminathan; Amit X Garg
Journal:  J Am Soc Nephrol       Date:  2011-08-11       Impact factor: 10.121

2.  Urine stability studies for novel biomarkers of acute kidney injury.

Authors:  Chirag R Parikh; Isabel Butrymowicz; Angela Yu; Vernon M Chinchilli; Meyeon Park; Chi-Yuan Hsu; W Brian Reeves; Prasad Devarajan; Paul L Kimmel; Edward D Siew; Kathleen D Liu
Journal:  Am J Kidney Dis       Date:  2013-11-05       Impact factor: 8.860

Review 3.  Kidney disease in heart failure: the importance of novel biomarkers for type 1 cardio-renal syndrome detection.

Authors:  Alberto Palazzuoli; Peter A McCullough; Claudio Ronco; Ranuccio Nuti
Journal:  Intern Emerg Med       Date:  2015-05-14       Impact factor: 3.397

Review 4.  Novel bone metabolism-associated hormones: the importance of the pre-analytical phase for understanding their physiological roles.

Authors:  Giovanni Lombardi; Mosè Barbaro; Massimo Locatelli; Giuseppe Banfi
Journal:  Endocrine       Date:  2017-02-08       Impact factor: 3.633

5.  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

6.  Diagnostic and prognostic stratification in the emergency department using urinary biomarkers of nephron damage: a multicenter prospective cohort study.

Authors:  Thomas L Nickolas; Kai M Schmidt-Ott; Pietro Canetta; Catherine Forster; Eugenia Singer; Meghan Sise; Antje Elger; Omar Maarouf; David Antonio Sola-Del Valle; Matthew O'Rourke; Evan Sherman; Peter Lee; Abdallah Geara; Philip Imus; Achuta Guddati; Allison Polland; Wasiq Rahman; Saban Elitok; Nasir Malik; James Giglio; Suzanne El-Sayegh; Prasad Devarajan; Sudarshan Hebbar; Subodh J Saggi; Barry Hahn; Ralph Kettritz; Friedrich C Luft; Jonathan Barasch
Journal:  J Am Coll Cardiol       Date:  2012-01-17       Impact factor: 24.094

7.  Pediatric reference ranges for acute kidney injury biomarkers.

Authors:  Michael R Bennett; Edward Nehus; Christopher Haffner; Qing Ma; Prasad Devarajan
Journal:  Pediatr Nephrol       Date:  2014-10-28       Impact factor: 3.714

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

Authors:  Eugenia Singer; Antje Elger; Saban Elitok; Ralph Kettritz; Thomas L Nickolas; Jonathan Barasch; Friedrich C Luft; Kai M Schmidt-Ott
Journal:  Kidney Int       Date:  2011-03-16       Impact factor: 10.612

Review 9.  Proteomics and metabolomics in renal transplantation-quo vadis?

Authors:  Rahul Bohra; Jacek Klepacki; Jelena Klawitter; Jost Klawitter; Joshua M Thurman; Uwe Christians
Journal:  Transpl Int       Date:  2012-11-21       Impact factor: 3.782

Review 10.  Neutrophil gelatinase-associated lipocalin as a biomarker of acute kidney injury: a critical evaluation of current status.

Authors:  Anja Haase-Fielitz; Michael Haase; Prasad Devarajan
Journal:  Ann Clin Biochem       Date:  2014-02-11       Impact factor: 2.057

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