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Population-based meta-analysis of chloroquine: informing chloroquine pharmacokinetics in COVID-19 patients

AIMS: Chloroquine (CQ) has been repurposed to treat coronavirus disease 2019 (COVID-19). Understanding the pharmacokinetics (PK) in COVID-19 patients is essential to study its exposure–efficacy/safety relationship and provide a basis for a possible dosing regimen optimization. SUBJECT AND METHODS: I...

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Autores principales: Yao, Xueting, Yan, Xiaoyu, Wang, Xiaohan, Cai, Ting, Zhang, Shun, Cui, Cheng, Wang, Xiaoxu, Hou, Zhe, Liu, Qi, Li, Haiyan, Lin, Jing, Xiong, Zi, Liu, Dongyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7665884/
https://www.ncbi.nlm.nih.gov/pubmed/33188451
http://dx.doi.org/10.1007/s00228-020-03032-6
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author Yao, Xueting
Yan, Xiaoyu
Wang, Xiaohan
Cai, Ting
Zhang, Shun
Cui, Cheng
Wang, Xiaoxu
Hou, Zhe
Liu, Qi
Li, Haiyan
Lin, Jing
Xiong, Zi
Liu, Dongyang
author_facet Yao, Xueting
Yan, Xiaoyu
Wang, Xiaohan
Cai, Ting
Zhang, Shun
Cui, Cheng
Wang, Xiaoxu
Hou, Zhe
Liu, Qi
Li, Haiyan
Lin, Jing
Xiong, Zi
Liu, Dongyang
author_sort Yao, Xueting
collection PubMed
description AIMS: Chloroquine (CQ) has been repurposed to treat coronavirus disease 2019 (COVID-19). Understanding the pharmacokinetics (PK) in COVID-19 patients is essential to study its exposure–efficacy/safety relationship and provide a basis for a possible dosing regimen optimization. SUBJECT AND METHODS: In this study, we used a population-based meta-analysis approach to develop a population PK model to characterize the CQ PK in COVID-19 patients. An open-label, single-center study (ethical review approval number: PJ-NBEY-KY-2020-063-01) was conducted to assess the safety, efficacy, and pharmacokinetics of CQ in patients with COVID-19. The sparse PK data from 50 COVID-19 patients, receiving 500 mg CQ phosphate twice daily for 7 days, were combined with additional CQ PK data from 18 publications. RESULTS: A two-compartment model with first-order oral absorption and first-order elimination and an absorption lag best described the data. Absorption rate (ka) was estimated to be 0.559 h(−1), and a lag time of absorption (ALAG) was estimated to be 0.149 h. Apparent clearance (CL/F) and apparent central volume of distribution (V2/F) was 33.3 l/h and 3630 l. Apparent distribution clearance (Q/F) and volume of distribution of peripheral compartment (Q3/F) were 58.7 l/h and 5120 l. The simulated CQ concentration under five dosing regimens of CQ phosphate were within the safety margin (400 ng/ml). CONCLUSION: Model-based simulation using PK parameters from the COVID-19 patients shows that the concentrations under the currently recommended dosing regimen are below the safety margin for side-effects, which suggests that these dosing regimens are generally safe. The derived population PK model should allow for the assessment of pharmacokinetics–pharmacodynamics (PK-PD) relationships for CQ when given alone or in combination with other agents to treat COVID-19. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00228-020-03032-6.
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spelling pubmed-76658842020-11-16 Population-based meta-analysis of chloroquine: informing chloroquine pharmacokinetics in COVID-19 patients Yao, Xueting Yan, Xiaoyu Wang, Xiaohan Cai, Ting Zhang, Shun Cui, Cheng Wang, Xiaoxu Hou, Zhe Liu, Qi Li, Haiyan Lin, Jing Xiong, Zi Liu, Dongyang Eur J Clin Pharmacol Pharmacokinetics and Disposition AIMS: Chloroquine (CQ) has been repurposed to treat coronavirus disease 2019 (COVID-19). Understanding the pharmacokinetics (PK) in COVID-19 patients is essential to study its exposure–efficacy/safety relationship and provide a basis for a possible dosing regimen optimization. SUBJECT AND METHODS: In this study, we used a population-based meta-analysis approach to develop a population PK model to characterize the CQ PK in COVID-19 patients. An open-label, single-center study (ethical review approval number: PJ-NBEY-KY-2020-063-01) was conducted to assess the safety, efficacy, and pharmacokinetics of CQ in patients with COVID-19. The sparse PK data from 50 COVID-19 patients, receiving 500 mg CQ phosphate twice daily for 7 days, were combined with additional CQ PK data from 18 publications. RESULTS: A two-compartment model with first-order oral absorption and first-order elimination and an absorption lag best described the data. Absorption rate (ka) was estimated to be 0.559 h(−1), and a lag time of absorption (ALAG) was estimated to be 0.149 h. Apparent clearance (CL/F) and apparent central volume of distribution (V2/F) was 33.3 l/h and 3630 l. Apparent distribution clearance (Q/F) and volume of distribution of peripheral compartment (Q3/F) were 58.7 l/h and 5120 l. The simulated CQ concentration under five dosing regimens of CQ phosphate were within the safety margin (400 ng/ml). CONCLUSION: Model-based simulation using PK parameters from the COVID-19 patients shows that the concentrations under the currently recommended dosing regimen are below the safety margin for side-effects, which suggests that these dosing regimens are generally safe. The derived population PK model should allow for the assessment of pharmacokinetics–pharmacodynamics (PK-PD) relationships for CQ when given alone or in combination with other agents to treat COVID-19. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00228-020-03032-6. Springer Berlin Heidelberg 2020-11-13 2021 /pmc/articles/PMC7665884/ /pubmed/33188451 http://dx.doi.org/10.1007/s00228-020-03032-6 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Pharmacokinetics and Disposition
Yao, Xueting
Yan, Xiaoyu
Wang, Xiaohan
Cai, Ting
Zhang, Shun
Cui, Cheng
Wang, Xiaoxu
Hou, Zhe
Liu, Qi
Li, Haiyan
Lin, Jing
Xiong, Zi
Liu, Dongyang
Population-based meta-analysis of chloroquine: informing chloroquine pharmacokinetics in COVID-19 patients
title Population-based meta-analysis of chloroquine: informing chloroquine pharmacokinetics in COVID-19 patients
title_full Population-based meta-analysis of chloroquine: informing chloroquine pharmacokinetics in COVID-19 patients
title_fullStr Population-based meta-analysis of chloroquine: informing chloroquine pharmacokinetics in COVID-19 patients
title_full_unstemmed Population-based meta-analysis of chloroquine: informing chloroquine pharmacokinetics in COVID-19 patients
title_short Population-based meta-analysis of chloroquine: informing chloroquine pharmacokinetics in COVID-19 patients
title_sort population-based meta-analysis of chloroquine: informing chloroquine pharmacokinetics in covid-19 patients
topic Pharmacokinetics and Disposition
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7665884/
https://www.ncbi.nlm.nih.gov/pubmed/33188451
http://dx.doi.org/10.1007/s00228-020-03032-6
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