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N-acetylcysteine interference of Trinder-based assays

Overview of attention for article published in Clinical Biochemistry, October 2015
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Article details
Title
N-acetylcysteine interference of Trinder-based assays
Published in
Clinical Biochemistry, October 2015
DOI 10.1016/j.clinbiochem.2015.10.005
Pubmed ID
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Abstract

a) Objectives. The primary objective of this study was to evaluate potential interference of Trinder-based chemistry assays by N-acetylcysteine (NAC). A secondary objective was to look for evidence of interference in patients treated with NAC for acetaminophen (APAP) overdose. b) Design and Methods. Dilutions of NAC in plasma were tested for interference using the following Roche Diagnostics Trinder-based assays on a cobas 8000 system: enzymatic creatinine (Cr), cholesterol (CHOL), high-density lipoprotein cholesterol (HDL-C), triglycerides (TRIG), and uric acid (UA). Two non-Trinder Roche assays - urea nitrogen (BUN) and glucose (GLUC) - were tested as controls. Sekisui N-geneous® low-density lipoprotein cholesterol (LDL-C) reagent was also evaluated. Retrospective chart review of APAP overdose cases over 49months was conducted to look for differences in plasma Cr before and after intravenous (IV) NAC administration. C) RESULTS: NAC concentrations (shown in parentheses) that caused ≥10% inhibition for individual assays were (in order of sensitivity to interference): TRIG (570mg/L)>CHOL (740mg/L)≈Cr (790mg/L)>UA (1100mg/L)>HDL-C (1760mg/L)>LDL-C (2900mg/L). Neither BUN nor GLUC achieved significant inhibition up to 10,000mg/L NAC. Evidence for relatively minor inhibition of Cr was observed in patients after NAC administration. D) CONCLUSIONS: NAC inhibition of the assays investigated typically occurs at concentrations higher than expected during IV and oral NAC therapy.

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The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 6 18%
Student > Bachelor 4 12%
Student > Ph. D. Student 3 9%
Other 2 6%
Professor > Associate Professor 2 6%
Other 3 9%
Unknown 13 39%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 18%
Nursing and Health Professions 3 9%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Medicine and Dentistry 2 6%
Chemistry 2 6%
Other 2 6%
Unknown 16 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 October 2015.
All research outputs
#20,655,488
of 25,371,288 outputs
Outputs from Clinical Biochemistry
#1,595
of 2,317 outputs
Outputs of similar age
#215,469
of 294,135 outputs
Outputs of similar age from Clinical Biochemistry
#18
of 52 outputs
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We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.