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Record W1974100695 · doi:10.1373/clinchem.2011.163121

An Alternative Approach for Detecting Interferences in Enzymatic Acetaminophen Assays

2011· letter· en· W1974100695 on OpenAlexaff
Johannes Zeidler, Peter A. Kavsak

Bibliographic record

VenueClinical Chemistry · 2011
Typeletter
Languageen
FieldMedicine
TopicLiver Disease Diagnosis and Treatment
Canadian institutionsMcMaster University
Fundersnot available
KeywordsBilirubinUltrafiltration (renal)AbsorbanceChromatographyDirect bilirubinChemistryAcetaminophenBilirubin oxidaseEnzymeBiochemistryMedicineInternal medicine

Abstract

fetched live from OpenAlex

To the Editor: We read with interest the recent description of yet another case of bilirubin-related positive interference in an enzymatic colorimetric assay for acetaminophen (1). As a remedy, these authors suggest measuring bilirubin before every acetaminophen assay and removing it by ultrafiltration when the bilirubin concentration is higher than the reported cutoffs for interference. An alternative and perhaps less costly approach would be to estimate an icteric index, an approximation of the bilirubin concentration based on an absorbance measurement, and to dilute the sample if the icteric index is high. This procedure stemmed from an incident within our laboratory program in which a physician questioned the validity of an acetaminophen result (Roche enzymatic assay) for a patient who had denied taking acetaminophen. In this case, we obtained 4 different samples from this patient (over 4 consecutive days) and measured both bilirubin and acetaminophen in the 4 undiluted samples [bilirubin range, 19.5–23.3 mg/dL (333–399 μmol/L); acetaminophen range, 14–18 μg/mL (93–120 μmol/L)] as well as in serial dilutions (1 volume in 2 and 1 volume in 4 with the therapeutic drug monitoring diluent). The mean (SD) recovery percentages for the bilirubin concentration after the 1-in-2 and 1-in-4 dilutions were 99% (1) and 98% (2), respectively, whereas for acetaminophen the recoveries were only 64% (3) and 38% (4) (Fig. 1). Thus, our experience with the Roche acetaminophen enzymatic assay has been that falsely increased acetaminophen results drop more than expected upon serial dilution, whereas bilirubin results follow the expected linear pattern. Importantly, we have also confirmed the linearity of this acetaminophen assay for samples with high acetaminophen concentrations that do not have this interference (2). These data add to the literature, which suggests that the enzymatic acetaminophen assays are susceptible to a chemical, rather than a spectrophotometric, interference in samples with high bilirubin concentrations (3). Also of note is our simple dilution protocol to detect the presence of a positive interference. For more accurate quantification of acetaminophen, there are interference-free methods [e.g., chromatography, mass spectrometry, enzyme-multiplied immunoassay technique (EMIT)] (4). Given that the presence of positive interference in such enzymatic assays can be quickly uncovered with the icteric index and a dilution protocol, any confirmatory testing can be performed with less urgency. This consideration is important, because the presence of measurable acetaminophen at any concentration can indicate harm, depending on the timing and many other factors (5). In view of the potential for harm, the possible presence of an interference warrants further investigation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.023
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.027
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0030.004
Open science0.0030.001
Research integrity0.0230.028
Insufficient payload (model declined to judge)0.0040.005

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.129
GPT teacher head0.379
Teacher spread0.250 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2011
Admission routes1
Has abstractyes

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