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Elevated acute phase proteins affect pharmacokinetics in COVID‐19 trials: Lessons from the CounterCOVID ‐ imatinib study

This study aimed to determine whether published pharmacokinetic (PK) models can adequately predict the PK profile of imatinib in a new indication, such as coronavirus disease 2019 (COVID‐19). Total (bound + unbound) and unbound imatinib plasma concentrations obtained from 134 patients with COVID‐19...

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Autores principales: Bartelink, Imke H., Bet, Pierre M., Widmer, Nicolas, Guidi, Monia, Duijvelaar, Erik, Grob, Bram, Honeywell, Richard, Evelo, Amanda, Tielbeek, Ivo P. E., Snape, Sue D., Hamer, Henrike, Decosterd, Laurent A., Jan Bogaard, Harm, Aman, Jurjan, Swart, Eleonora L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8646516/
https://www.ncbi.nlm.nih.gov/pubmed/34608769
http://dx.doi.org/10.1002/psp4.12718
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author Bartelink, Imke H.
Bet, Pierre M.
Widmer, Nicolas
Guidi, Monia
Duijvelaar, Erik
Grob, Bram
Honeywell, Richard
Evelo, Amanda
Tielbeek, Ivo P. E.
Snape, Sue D.
Hamer, Henrike
Decosterd, Laurent A.
Jan Bogaard, Harm
Aman, Jurjan
Swart, Eleonora L.
author_facet Bartelink, Imke H.
Bet, Pierre M.
Widmer, Nicolas
Guidi, Monia
Duijvelaar, Erik
Grob, Bram
Honeywell, Richard
Evelo, Amanda
Tielbeek, Ivo P. E.
Snape, Sue D.
Hamer, Henrike
Decosterd, Laurent A.
Jan Bogaard, Harm
Aman, Jurjan
Swart, Eleonora L.
author_sort Bartelink, Imke H.
collection PubMed
description This study aimed to determine whether published pharmacokinetic (PK) models can adequately predict the PK profile of imatinib in a new indication, such as coronavirus disease 2019 (COVID‐19). Total (bound + unbound) and unbound imatinib plasma concentrations obtained from 134 patients with COVID‐19 participating in the CounterCovid study and from an historical dataset of 20 patients with gastrointestinal stromal tumor (GIST) and 85 patients with chronic myeloid leukemia (CML) were compared. Total imatinib area under the concentration time curve (AUC), maximum concentration (C(max)) and trough concentration (C(trough)) were 2.32‐fold (95% confidence interval [CI] 1.34–3.29), 2.31‐fold (95% CI 1.33–3.29), and 2.32‐fold (95% CI 1.11–3.53) lower, respectively, for patients with CML/GIST compared with patients with COVID‐19, whereas unbound concentrations were comparable among groups. Inclusion of alpha1‐acid glycoprotein (AAG) concentrations measured in patients with COVID‐19 into a previously published model developed to predict free imatinib concentrations in patients with GIST using total imatinib and plasma AAG concentration measurements (AAG‐PK‐Model) gave an estimated mean (SD) prediction error (PE) of −20% (31%) for total and −7.0% (56%) for unbound concentrations. Further covariate modeling with this combined dataset showed that in addition to AAG; age, bodyweight, albumin, CRP, and intensive care unit admission were predictive of total imatinib oral clearance. In conclusion, high total and unaltered unbound concentrations of imatinib in COVID‐19 compared to CML/GIST were a result of variability in acute phase proteins. This is a textbook example of how failure to take into account differences in plasma protein binding and the unbound fraction when interpreting PK of highly protein bound drugs, such as imatinib, could lead to selection of a dose with suboptimal efficacy in patients with COVID‐19.
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spelling pubmed-86465162021-12-06 Elevated acute phase proteins affect pharmacokinetics in COVID‐19 trials: Lessons from the CounterCOVID ‐ imatinib study Bartelink, Imke H. Bet, Pierre M. Widmer, Nicolas Guidi, Monia Duijvelaar, Erik Grob, Bram Honeywell, Richard Evelo, Amanda Tielbeek, Ivo P. E. Snape, Sue D. Hamer, Henrike Decosterd, Laurent A. Jan Bogaard, Harm Aman, Jurjan Swart, Eleonora L. CPT Pharmacometrics Syst Pharmacol Research This study aimed to determine whether published pharmacokinetic (PK) models can adequately predict the PK profile of imatinib in a new indication, such as coronavirus disease 2019 (COVID‐19). Total (bound + unbound) and unbound imatinib plasma concentrations obtained from 134 patients with COVID‐19 participating in the CounterCovid study and from an historical dataset of 20 patients with gastrointestinal stromal tumor (GIST) and 85 patients with chronic myeloid leukemia (CML) were compared. Total imatinib area under the concentration time curve (AUC), maximum concentration (C(max)) and trough concentration (C(trough)) were 2.32‐fold (95% confidence interval [CI] 1.34–3.29), 2.31‐fold (95% CI 1.33–3.29), and 2.32‐fold (95% CI 1.11–3.53) lower, respectively, for patients with CML/GIST compared with patients with COVID‐19, whereas unbound concentrations were comparable among groups. Inclusion of alpha1‐acid glycoprotein (AAG) concentrations measured in patients with COVID‐19 into a previously published model developed to predict free imatinib concentrations in patients with GIST using total imatinib and plasma AAG concentration measurements (AAG‐PK‐Model) gave an estimated mean (SD) prediction error (PE) of −20% (31%) for total and −7.0% (56%) for unbound concentrations. Further covariate modeling with this combined dataset showed that in addition to AAG; age, bodyweight, albumin, CRP, and intensive care unit admission were predictive of total imatinib oral clearance. In conclusion, high total and unaltered unbound concentrations of imatinib in COVID‐19 compared to CML/GIST were a result of variability in acute phase proteins. This is a textbook example of how failure to take into account differences in plasma protein binding and the unbound fraction when interpreting PK of highly protein bound drugs, such as imatinib, could lead to selection of a dose with suboptimal efficacy in patients with COVID‐19. John Wiley and Sons Inc. 2021-10-24 2021-12 /pmc/articles/PMC8646516/ /pubmed/34608769 http://dx.doi.org/10.1002/psp4.12718 Text en © 2021 The Authors. CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research
Bartelink, Imke H.
Bet, Pierre M.
Widmer, Nicolas
Guidi, Monia
Duijvelaar, Erik
Grob, Bram
Honeywell, Richard
Evelo, Amanda
Tielbeek, Ivo P. E.
Snape, Sue D.
Hamer, Henrike
Decosterd, Laurent A.
Jan Bogaard, Harm
Aman, Jurjan
Swart, Eleonora L.
Elevated acute phase proteins affect pharmacokinetics in COVID‐19 trials: Lessons from the CounterCOVID ‐ imatinib study
title Elevated acute phase proteins affect pharmacokinetics in COVID‐19 trials: Lessons from the CounterCOVID ‐ imatinib study
title_full Elevated acute phase proteins affect pharmacokinetics in COVID‐19 trials: Lessons from the CounterCOVID ‐ imatinib study
title_fullStr Elevated acute phase proteins affect pharmacokinetics in COVID‐19 trials: Lessons from the CounterCOVID ‐ imatinib study
title_full_unstemmed Elevated acute phase proteins affect pharmacokinetics in COVID‐19 trials: Lessons from the CounterCOVID ‐ imatinib study
title_short Elevated acute phase proteins affect pharmacokinetics in COVID‐19 trials: Lessons from the CounterCOVID ‐ imatinib study
title_sort elevated acute phase proteins affect pharmacokinetics in covid‐19 trials: lessons from the countercovid ‐ imatinib study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8646516/
https://www.ncbi.nlm.nih.gov/pubmed/34608769
http://dx.doi.org/10.1002/psp4.12718
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