Cargando…

Population Pharmacokinetics of Hydroxychloroquine in COVID-19 Patients: Implications for Dose Optimization

BACKGROUND AND OBJECTIVE: In the absence of characterization on pharmacokinetics and reference concentrations for hydroxychloroquine in COVID-19 patients, the dose and treatment duration for hydrochloroquine are currently empirical, mainly based on in vitro data, and may vary across national guideli...

Descripción completa

Detalles Bibliográficos
Autores principales: Thémans, Pauline, Belkhir, Leila, Dauby, Nicolas, Yombi, Jean-Cyr, De Greef, Julien, Delongie, Kevin-Alexandre, Vandeputte, Martin, Nasreddine, Rakan, Wittebole, Xavier, Wuillaume, Francoise, Lescrainier, Cécile, Verlinden, Veerle, Kiridis, Sophie, Dogné, Jean-Michel, Hamdani, Jamila, Wallemacq, Pierre, Musuamba, Flora T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7511144/
https://www.ncbi.nlm.nih.gov/pubmed/32968954
http://dx.doi.org/10.1007/s13318-020-00648-y
_version_ 1783585908808744960
author Thémans, Pauline
Belkhir, Leila
Dauby, Nicolas
Yombi, Jean-Cyr
De Greef, Julien
Delongie, Kevin-Alexandre
Vandeputte, Martin
Nasreddine, Rakan
Wittebole, Xavier
Wuillaume, Francoise
Lescrainier, Cécile
Verlinden, Veerle
Kiridis, Sophie
Dogné, Jean-Michel
Hamdani, Jamila
Wallemacq, Pierre
Musuamba, Flora T.
author_facet Thémans, Pauline
Belkhir, Leila
Dauby, Nicolas
Yombi, Jean-Cyr
De Greef, Julien
Delongie, Kevin-Alexandre
Vandeputte, Martin
Nasreddine, Rakan
Wittebole, Xavier
Wuillaume, Francoise
Lescrainier, Cécile
Verlinden, Veerle
Kiridis, Sophie
Dogné, Jean-Michel
Hamdani, Jamila
Wallemacq, Pierre
Musuamba, Flora T.
author_sort Thémans, Pauline
collection PubMed
description BACKGROUND AND OBJECTIVE: In the absence of characterization on pharmacokinetics and reference concentrations for hydroxychloroquine in COVID-19 patients, the dose and treatment duration for hydrochloroquine are currently empirical, mainly based on in vitro data, and may vary across national guidelines and clinical study protocols. The aim of this paper is to describe the pharmacokinetics of hydroxychloroquine in COVID-19 patients, considered to be a key step toward its dosing optimization. METHODS: We have developed a population pharmacokinetic model for hydroxychloroquine in COVID-19 patients using prospectively collected pharmacokinetic data from patients either enrolled in a clinical trial or treated with hydroxychloroquine as part of standard of care in two tertiary Belgian hospitals. RESULTS: The final population pharmacokinetic model was a one-compartment model with first-order absorption and elimination. The estimated parameter values were 9.3/h, 860.8 L, and 15.7 L/h for the absorption rate constant, the central compartment volume, and the clearance, respectively. The bioavailability factor was fixed to 0.74 based on previously published models. Model validations by bootstraps, prediction corrected visual predictive checks, and normalized prediction distribution errors gave satisfactory results. Simulations were performed to compare the exposure obtained with alternative dosing regimens. CONCLUSION: The developed models provide useful insight for the dosing optimization of hydroxychloroquine in COVID-19 patients. The present results should be used in conjunction with exposure-efficacy and exposure-safety data to inform optimal dosing of hydroxychloroquine in COVID-19. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s13318-020-00648-y) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-7511144
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Springer International Publishing
record_format MEDLINE/PubMed
spelling pubmed-75111442020-09-24 Population Pharmacokinetics of Hydroxychloroquine in COVID-19 Patients: Implications for Dose Optimization Thémans, Pauline Belkhir, Leila Dauby, Nicolas Yombi, Jean-Cyr De Greef, Julien Delongie, Kevin-Alexandre Vandeputte, Martin Nasreddine, Rakan Wittebole, Xavier Wuillaume, Francoise Lescrainier, Cécile Verlinden, Veerle Kiridis, Sophie Dogné, Jean-Michel Hamdani, Jamila Wallemacq, Pierre Musuamba, Flora T. Eur J Drug Metab Pharmacokinet Original Research Article BACKGROUND AND OBJECTIVE: In the absence of characterization on pharmacokinetics and reference concentrations for hydroxychloroquine in COVID-19 patients, the dose and treatment duration for hydrochloroquine are currently empirical, mainly based on in vitro data, and may vary across national guidelines and clinical study protocols. The aim of this paper is to describe the pharmacokinetics of hydroxychloroquine in COVID-19 patients, considered to be a key step toward its dosing optimization. METHODS: We have developed a population pharmacokinetic model for hydroxychloroquine in COVID-19 patients using prospectively collected pharmacokinetic data from patients either enrolled in a clinical trial or treated with hydroxychloroquine as part of standard of care in two tertiary Belgian hospitals. RESULTS: The final population pharmacokinetic model was a one-compartment model with first-order absorption and elimination. The estimated parameter values were 9.3/h, 860.8 L, and 15.7 L/h for the absorption rate constant, the central compartment volume, and the clearance, respectively. The bioavailability factor was fixed to 0.74 based on previously published models. Model validations by bootstraps, prediction corrected visual predictive checks, and normalized prediction distribution errors gave satisfactory results. Simulations were performed to compare the exposure obtained with alternative dosing regimens. CONCLUSION: The developed models provide useful insight for the dosing optimization of hydroxychloroquine in COVID-19 patients. The present results should be used in conjunction with exposure-efficacy and exposure-safety data to inform optimal dosing of hydroxychloroquine in COVID-19. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s13318-020-00648-y) contains supplementary material, which is available to authorized users. Springer International Publishing 2020-09-23 2020 /pmc/articles/PMC7511144/ /pubmed/32968954 http://dx.doi.org/10.1007/s13318-020-00648-y Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Research Article
Thémans, Pauline
Belkhir, Leila
Dauby, Nicolas
Yombi, Jean-Cyr
De Greef, Julien
Delongie, Kevin-Alexandre
Vandeputte, Martin
Nasreddine, Rakan
Wittebole, Xavier
Wuillaume, Francoise
Lescrainier, Cécile
Verlinden, Veerle
Kiridis, Sophie
Dogné, Jean-Michel
Hamdani, Jamila
Wallemacq, Pierre
Musuamba, Flora T.
Population Pharmacokinetics of Hydroxychloroquine in COVID-19 Patients: Implications for Dose Optimization
title Population Pharmacokinetics of Hydroxychloroquine in COVID-19 Patients: Implications for Dose Optimization
title_full Population Pharmacokinetics of Hydroxychloroquine in COVID-19 Patients: Implications for Dose Optimization
title_fullStr Population Pharmacokinetics of Hydroxychloroquine in COVID-19 Patients: Implications for Dose Optimization
title_full_unstemmed Population Pharmacokinetics of Hydroxychloroquine in COVID-19 Patients: Implications for Dose Optimization
title_short Population Pharmacokinetics of Hydroxychloroquine in COVID-19 Patients: Implications for Dose Optimization
title_sort population pharmacokinetics of hydroxychloroquine in covid-19 patients: implications for dose optimization
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7511144/
https://www.ncbi.nlm.nih.gov/pubmed/32968954
http://dx.doi.org/10.1007/s13318-020-00648-y
work_keys_str_mv AT themanspauline populationpharmacokineticsofhydroxychloroquineincovid19patientsimplicationsfordoseoptimization
AT belkhirleila populationpharmacokineticsofhydroxychloroquineincovid19patientsimplicationsfordoseoptimization
AT daubynicolas populationpharmacokineticsofhydroxychloroquineincovid19patientsimplicationsfordoseoptimization
AT yombijeancyr populationpharmacokineticsofhydroxychloroquineincovid19patientsimplicationsfordoseoptimization
AT degreefjulien populationpharmacokineticsofhydroxychloroquineincovid19patientsimplicationsfordoseoptimization
AT delongiekevinalexandre populationpharmacokineticsofhydroxychloroquineincovid19patientsimplicationsfordoseoptimization
AT vandeputtemartin populationpharmacokineticsofhydroxychloroquineincovid19patientsimplicationsfordoseoptimization
AT nasreddinerakan populationpharmacokineticsofhydroxychloroquineincovid19patientsimplicationsfordoseoptimization
AT wittebolexavier populationpharmacokineticsofhydroxychloroquineincovid19patientsimplicationsfordoseoptimization
AT wuillaumefrancoise populationpharmacokineticsofhydroxychloroquineincovid19patientsimplicationsfordoseoptimization
AT lescrainiercecile populationpharmacokineticsofhydroxychloroquineincovid19patientsimplicationsfordoseoptimization
AT verlindenveerle populationpharmacokineticsofhydroxychloroquineincovid19patientsimplicationsfordoseoptimization
AT kiridissophie populationpharmacokineticsofhydroxychloroquineincovid19patientsimplicationsfordoseoptimization
AT dognejeanmichel populationpharmacokineticsofhydroxychloroquineincovid19patientsimplicationsfordoseoptimization
AT hamdanijamila populationpharmacokineticsofhydroxychloroquineincovid19patientsimplicationsfordoseoptimization
AT wallemacqpierre populationpharmacokineticsofhydroxychloroquineincovid19patientsimplicationsfordoseoptimization
AT musuambaflorat populationpharmacokineticsofhydroxychloroquineincovid19patientsimplicationsfordoseoptimization