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Lookup NU author(s): Professor John IsaacsORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2024 by the authors.Efficacy to biologics in rheumatoid arthritis (RA) patients is variable and is likely influenced by each patient’s circulating drug levels. Using modelling and simulation, the aim of this study was to investigate whether adalimumab and etanercept biosimilar dosing intervals can be altered to achieve therapeutic drug levels at a faster/similar time compared to the recommended interval. RA patients starting subcutaneous Amgevita or Benepali (adalimumab and etanercept biosimilars, respectively) were recruited and underwent sparse serum sampling for drug concentrations. Drug levels were measured using commercially available kits. Pharmacokinetic data were analysed using a population approach (popPK) and potential covariates were investigated in models. Models were compared using goodness-of-fit criteria. Final models were selected and used to simulate alternative dosing intervals. Ten RA patients starting the adalimumab biosimilar and six patients starting the etanercept biosimilar were recruited. One-compartment PK models were used to describe the popPK models for both drugs; no significant covariates were found. Typical individual parameter estimates were used to simulate altered dosing intervals for both drugs. A simulation of dosing the etanercept biosimilar at a lower rate of every 10 days reached steady-state concentrations earlier than the usual dosing rate of every 7 days. Simulations of altered dosing intervals could form the basis for future personalised dosing studies, potentially saving costs whilst increasing efficacy.
Author(s): Ling SF, Ogungbenro K, Darwich AS, Ariff ABM, Nair N, Bluett J, Morgan AW, Isaacs JD, Wilson AG, Hyrich KL, Barton A, Plant D
Publication type: Article
Publication status: Published
Journal: Pharmaceutics
Year: 2024
Volume: 16
Issue: 6
Print publication date: 01/06/2024
Online publication date: 23/05/2024
Acceptance date: 20/05/2024
Date deposited: 15/07/2024
ISSN (electronic): 1999-4923
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
URL: https://doi.org/10.3390/pharmaceutics16060702
DOI: 10.3390/pharmaceutics16060702
Data Access Statement: The data presented in this study are available on request from the corresponding author due to patient confidentiality.
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