Abstract
Special populations, like geriatric patients, experience altered paracetamol pharmacokinetics (PK), complicating pain management. More PK research is essential to optimize paracetamol (acetaminophen) dosing. Yet, the reference method ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) is not readily available. Therefore, we aimed to evaluate the agreement between UPLC-MS/MS and the more accessible colorimetric Roche acetaminophen (ACETA) assay in quantifying paracetamol plasma concentrations, to facilitate PK studies and therapeutic drug monitoring for pain management. Patient data and plasma samples were obtained from a prospective study including geriatric patients admitted to the geriatric wards. ACETA and UPLC-MS/MS assays were performed in two separate laboratories. Bland–Altman plot and Passing-Bablok regression were used to assess agreement. Accuracy was evaluated using the McNemar test for a threshold value of 10 mg/L. Population PK modeling was employed to bridge PK data obtained from both methods (NONMEM 7.5). A total of 242 plasma sample pairs were available from 40 geriatric patients (age range, 80–95 years). Paracetamol plasma concentrations from ACETA (median 9.8 [interquartile range 6.1–14.4] mg/L) and UPLC-MS/MS (9.5 [6.2–14.8] mg/L) did not differ significantly (P > 0.05). No significant proportional nor additive bias was observed between both assay methods. The classification accuracy (at threshold 10 mg/L) was 85% (P = 0.414). The conversion factor between ACETA and UPLC-MS/MS was estimated at 1.06 (relative standard error 5%), yet with a 13.4% (relative standard error 23%) interindividual variability. ACETA assay showed no systematic bias in comparison with the UPLC-MS/MS assay in determining paracetamol exposure in geriatric blood samples despite the imprecision.
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The resources and services used in this work were provided by the VSC (Flemish Supercomputer Center), funded by the Research Foundation—Flanders (FWO), and the Flemish Government.
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This article receives no specific funding. AEE is supported by AGePOP, a Horizon 2020 research and innovation program; Marie Skłodowska-Curie grant (No. 956146).
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AEE, ED, JH, LVdL, IS, and JT made substantial contributions to the concept, design, and interpretation of data; JH, LVdL, IS, and JT collected the data; NVdE, SP, and BK performed the bioanalysis; AEE performed the data analysis and modeling and wrote the original draft; ED supervised the data analysis and modeling; KA, NVdE, SP, BK, ED, JH, LVdL, IS, and JT were involved in revising the manuscript critically for important intellectual content.
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Edwina, A.E., Dreesen, E., Hias, J. et al. Agreement Between a Colorimetric Assay and Ultra-Performance Liquid Chromatography-Tandem Mass Spectrometry for Quantifying Paracetamol Plasma Concentrations. AAPS J 26, 23 (2024). https://doi.org/10.1208/s12248-024-00890-1
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DOI: https://doi.org/10.1208/s12248-024-00890-1