Literature DB >> 26797672

Analytical characteristics of a biomarker-based risk assessment test for acute kidney injury (AKI).

Denise L Uettwiller-Geiger1, Ravi Vijayendran2, John A Kellum3, Robert L Fitzgerald4.   

Abstract

BACKGROUND: Acute kidney injury (AKI) is associated with increased mortality, morbidity, hospital length of stay, and costs. A quantitative urine test is available to assess the risk of developing AKI by measuring the concentrations of two protein biomarkers, TIMP-2 and IGFBP-7. The NephroCheck Test combines these concentrations into an AKIRisk Score. The purpose of this study is to characterize the analytical performance characteristics of the AKIRisk Score.
METHODS: Linearity and analytical sensitivity were evaluated by following Clinical Laboratory Standards Institute (CLSI) EP06-A and EP17-A, respectively. Precision was evaluated by testing clinical samples and examining the repeatability of test results. Potential interference was evaluated for endogenous and exogenous substances. Sample stability was examined at room temperature and at 2-8°C, as well as the effect of sample centrifugation temperature on test results.
RESULTS: The AKIRisk Score exhibits approximately 10% coefficient of variation (CV) at the recommended cutoff value of 0.3 and the limit of quantitation (LoQ) was 0.002. Only albumin, bilirubin (conjugated), and methylene blue interfered with test results, at concentrations exceeding 1250 mg/L, 72 mg/L, and 0.49 mg/L, respectively. AKIRisk Score results were stable for 6h at room temperature, 24h refrigerated, and not impacted by sample centrifugation temperature.
CONCLUSIONS: Our studies demonstrate that the AKIRisk Score has robust analytical performance, good precision, minimal analytical interference, acceptable sensitivity, and excellent sample stability.
Copyright © 2016 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  AKIRisk score; Acute kidney injury (AKI); Insulin-like growth factor binding protein 7 (IGFBP-7); Interference; KDIGO: kidney disease improving global outcomes; Limit-of-detection; Precision; Sample stability; Tissue inhibitor of metalloproteinase 2 (TIMP-2)

Mesh:

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Year:  2016        PMID: 26797672     DOI: 10.1016/j.cca.2016.01.012

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  4 in total

1.  Mechanisms Underlying Increased TIMP2 and IGFBP7 Urinary Excretion in Experimental AKI.

Authors:  Ali C M Johnson; Richard A Zager
Journal:  J Am Soc Nephrol       Date:  2018-07-06       Impact factor: 10.121

2.  Use of Cell Cycle Arrest Biomarkers in Conjunction With Classical Markers of Acute Kidney Injury.

Authors:  Michael Joannidis; Lui G Forni; Michael Haase; Jay Koyner; Jing Shi; Kianoush Kashani; Lakhmir S Chawla; John A Kellum
Journal:  Crit Care Med       Date:  2019-10       Impact factor: 7.598

3.  Combination of biomarker with clinical risk factors for prediction of severe acute kidney injury in critically ill patients.

Authors:  Lan Jia; Xiaohua Sheng; Anna Zamperetti; Yun Xie; Valentina Corradi; Shikha Chandel; Massimo De Cal; Diego Pomarè Montin; Carlotta Caprara; Claudio Ronco
Journal:  BMC Nephrol       Date:  2020-12-10       Impact factor: 2.388

4.  Development and validation of a clinical prediction model of acute kidney injury in intensive care unit patients at a rural tertiary teaching hospital in South Africa: a study protocol.

Authors:  Busisiwe Mrara; Fathima Paruk; Constance Sewani-Rusike; Olanrewaju Oladimeji
Journal:  BMJ Open       Date:  2022-07-27       Impact factor: 3.006

  4 in total

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