Literature DB >> 22095948

Test characteristics of urinary biomarkers depend on quantitation method in acute kidney injury.

Azrina Md Ralib1, John W Pickering, Geoffrey M Shaw, Prasad Devarajan, Charles L Edelstein, Joseph V Bonventre, Zoltan H Endre.   

Abstract

The concentration of urine influences the concentration of urinary biomarkers of AKI. Whether normalization to urinary creatinine concentration, as commonly performed to quantitate albuminuria, is the best method to account for variations in urinary biomarker concentration among patients in the intensive care unit is unknown. Here, we compared the diagnostic and prognostic performance of three methods of biomarker quantitation: absolute concentration, biomarker normalized to urinary creatinine concentration, and biomarker excretion rate. We measured urinary concentrations of alkaline phosphatase, γ-glutamyl transpeptidase, cystatin C, neutrophil gelatinase-associated lipocalin, kidney injury molecule-1, and IL-18 in 528 patients on admission and after 12 and 24 hours. Absolute concentration best diagnosed AKI on admission, but normalized concentrations best predicted death, dialysis, or subsequent development of AKI. Excretion rate on admission did not diagnose or predict outcomes better than either absolute or normalized concentration. Estimated 24-hour biomarker excretion associated with AKI severity, and for neutrophil gelatinase-associated lipocalin and cystatin C, with poorer survival. In summary, normalization to urinary creatinine concentration improves the prediction of incipient AKI and outcome but provides no advantage in diagnosing established AKI. The ideal method for quantitating biomarkers of urinary AKI depends on the outcome of interest.

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Year:  2011        PMID: 22095948      PMCID: PMC3269182          DOI: 10.1681/ASN.2011040325

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


  41 in total

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Journal:  Cytokine       Date:  2000-10       Impact factor: 3.861

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Journal:  J Clin Pharmacol       Date:  1976-07       Impact factor: 3.126

Review 3.  2001 SCCM/ESICM/ACCP/ATS/SIS International Sepsis Definitions Conference.

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Journal:  Crit Care Med       Date:  2003-04       Impact factor: 7.598

4.  Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach.

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Journal:  Biometrics       Date:  1988-09       Impact factor: 2.571

5.  Measurement of muscle mass in humans: validity of the 24-hour urinary creatinine method.

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Journal:  Am J Clin Nutr       Date:  1983-03       Impact factor: 7.045

6.  The meaning and use of the area under a receiver operating characteristic (ROC) curve.

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Journal:  Radiology       Date:  1982-04       Impact factor: 11.105

7.  Albuminuria increases cystatin C excretion: implications for urinary biomarkers.

Authors:  Maryam Nejat; Jonathan V Hill; John W Pickering; Charles L Edelstein; Prasad Devarajan; Zoltán H Endre
Journal:  Nephrol Dial Transplant       Date:  2011-05-05       Impact factor: 5.992

8.  Measurement of tubular enzymuria facilitates early detection of acute renal impairment in the intensive care unit.

Authors:  Justin Westhuyzen; Zoltan H Endre; Graham Reece; David M Reith; David Saltissi; Thomas J Morgan
Journal:  Nephrol Dial Transplant       Date:  2003-03       Impact factor: 5.992

9.  Course of acute renal failure studied by a model of creatinine kinetics.

Authors:  S M Moran; B D Myers
Journal:  Kidney Int       Date:  1985-06       Impact factor: 10.612

Review 10.  Acute renal failure - definition, outcome measures, animal models, fluid therapy and information technology needs: the Second International Consensus Conference of the Acute Dialysis Quality Initiative (ADQI) Group.

Authors:  Rinaldo Bellomo; Claudio Ronco; John A Kellum; Ravindra L Mehta; Paul Palevsky
Journal:  Crit Care       Date:  2004-05-24       Impact factor: 9.097

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  57 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.  A basic science view of acute kidney injury biomarkers.

Authors:  Jennifer R Charlton; Didier Portilla; Mark D Okusa
Journal:  Nephrol Dial Transplant       Date:  2014-01-02       Impact factor: 5.992

3.  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

4.  Normalisation of urinary biomarkers to creatinine for clinical practice and research--when and why.

Authors:  Kai Wen Aaron Tang; Qi Chun Toh; Boon Wee Teo
Journal:  Singapore Med J       Date:  2015-01       Impact factor: 1.858

5.  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

6.  Are Urinary Biomarkers Better Than Acute Kidney Injury Duration for Predicting Readmission?

Authors:  Jeremiah R Brown; Heather Thiessen-Philbrook; Christine A Goodrich; Andrew R Bohm; Shama S Alam; Steven G Coca; Eric McArthur; Amit X Garg; Chirag R Parikh
Journal:  Ann Thorac Surg       Date:  2019-03-14       Impact factor: 4.330

7.  Combination of biomarkers for diagnosis of acute kidney injury after cardiopulmonary bypass.

Authors:  John Richard Prowle; Paolo Calzavacca; Elisa Licari; E Valentina Ligabo; Jorge E Echeverri; Sean M Bagshaw; Anja Haase-Fielitz; Michael Haase; Vaughn Ostland; Eisei Noiri; Mark Westerman; Prasad Devarajan; Rinaldo Bellomo
Journal:  Ren Fail       Date:  2015-01-14       Impact factor: 2.606

8.  Effect of high-dose erythropoietin on graft function after kidney transplantation: a randomized, double-blind clinical trial.

Authors:  Kalathil K Sureshkumar; Sabiha M Hussain; Tina Y Ko; Ngoc L Thai; Richard J Marcus
Journal:  Clin J Am Soc Nephrol       Date:  2012-06-28       Impact factor: 8.237

9.  Urinary Mitochondrial DNA Level as a Biomarker of Acute Kidney Injury Severity.

Authors:  Phoebe Wing-Lam Ho; Wing-Fai Pang; Cathy Choi-Wan Luk; Jack Kit-Chung Ng; Kai-Ming Chow; Bonnie Ching-Ha Kwan; Philip Kam-Tao Li; Cheuk-Chun Szeto
Journal:  Kidney Dis (Basel)       Date:  2017-05-17

Review 10.  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

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