Literature DB >> 25448026

Bi-variate approach to negative interference of bilirubin towards an acetaminophen assay.

Yeow Kuan Chong1, Chloe Miu Mak2, Hiu Laam Lam1, Man Han Lau1, Daniel Cheuk Wa Leung1.   

Abstract

BACKGROUND: It is well known that enzymatic assays for acetaminophen are positively interfered by bilirubin. The effect on acetaminophen not only depends on the concentration of bilirubin but also on that of acetaminophen. We demonstrated a negative interference instead of a positive one in a commonly used routine analyzer and investigated the recovery of acetaminophen in an enzymatic assay by a bi-variate regression.
METHODS: Commercially available blank serum specimens were spiked with acetaminophen and bilirubin at various concentrations, and were analyzed in the Beckman Coulter AU5822 analyzer. The specimens were run in duplicates. The results were then analyzed by least-square analysis and was built into a bi-variate quadratic model.
RESULTS: The recovery of acetaminophen in this experiment ranged from 38.9% to 100% throughout a range of 23 μmol/L to 2052 μmol/L (for acetaminophen) and 19 μmol/L to 570 μmol/L (for bilirubin). A contour map, as well as a bi-variate equation was established, describing the relationship between acetaminophen recovery, acetaminophen concentration, and bilirubin concentration.
CONCLUSION: It was shown that the degree of bilirubin interference in a commercially available acetaminophen assay is dependent on both bilirubin and acetaminophen concentrations. There was a decrease in the apparent acetaminophen concentration by an average of 30% at a bilirubin concentration of 420 μmol/L in the Beckman Coulter AU5822 analyzer. The complex relationship can be modeled by mathematical means. This allows the laboratory staff to estimate the recovery of acetaminophen when bilirubin level is concurrently measured.
Copyright © 2014 The Canadian Society of Clinical Chemists. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Acetaminophen; Bi-variate regression; Bilirubin; Interference

Mesh:

Substances:

Year:  2014        PMID: 25448026     DOI: 10.1016/j.clinbiochem.2014.11.007

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


  2 in total

1.  Icteric human samples: Icterus index and method of estimating an interference-free value for 16 biochemical analyses.

Authors:  Alain Nicolay; Anne-Marie Lorec; Guy Gomez; Henri Portugal
Journal:  J Clin Lab Anal       Date:  2017-04-11       Impact factor: 2.352

2.  Performance evaluation of five commercial assays for detection of acetaminophen.

Authors:  Bao-Yum Chan; Hing-Man Tsang; Candy Wai-Yan Ng; William Hin-Wing Ling; Daniel Cheuk-Wa Leung; Hencher Han-Chih Lee; Chloe Miu Mak
Journal:  J Clin Lab Anal       Date:  2018-10-04       Impact factor: 2.352

  2 in total

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