TY - JOUR
T1 - Population Pharmacokinetics of Hydroxychloroquine in COVID-19 Patients
T2 - Implications for Dose Optimization
AU - Thémans, Pauline
AU - Belkhir, Leila
AU - Dauby, Nicolas
AU - Yombi, Jean Cyr
AU - De Greef, Julien
AU - Delongie, Kevin Alexandre
AU - Vandeputte, Martin
AU - Nasreddine, Rakan
AU - Wittebole, Xavier
AU - Wuillaume, Francoise
AU - Lescrainier, Cécile
AU - Verlinden, Veerle
AU - Kiridis, Sophie
AU - Dogné, Jean Michel
AU - Hamdani, Jamila
AU - Wallemacq, Pierre
AU - Musuamba Tshinanu, Flora
N1 - Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/12
Y1 - 2020/12
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85091438742&partnerID=8YFLogxK
U2 - 10.1007/s13318-020-00648-y
DO - 10.1007/s13318-020-00648-y
M3 - Article
C2 - 32968954
AN - SCOPUS:85091438742
SN - 2107-0180
VL - 45
SP - 703
EP - 713
JO - European Journal of Drug Metabolism and Pharmacokinetics
JF - European Journal of Drug Metabolism and Pharmacokinetics
IS - 6
ER -