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Population pharmacokinetic modeling of GS‐441524, the active metabolite of remdesivir, in Japanese COVID‐19 patients with renal dysfunction

Remdesivir, a prodrug of the nucleoside analog GS‐441524, plays a key role in the treatment of coronavirus disease 2019 (COVID‐19). However, owing to limited information on clinical trials and inexperienced clinical use, there is a lack of pharmacokinetic (PK) data in patients with COVID‐19 with spe...

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Autores principales: Sukeishi, Asami, Itohara, Kotaro, Yonezawa, Atsushi, Sato, Yuki, Matsumura, Katsuyuki, Katada, Yoshiki, Nakagawa, Takayuki, Hamada, Satoshi, Tanabe, Naoya, Imoto, Eishi, Kai, Shinichi, Hirai, Toyohiro, Yanagita, Motoko, Ohtsuru, Shigeru, Terada, Tomohiro, Ito, Isao
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/PMC8646568/
https://www.ncbi.nlm.nih.gov/pubmed/34793625
http://dx.doi.org/10.1002/psp4.12736
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author Sukeishi, Asami
Itohara, Kotaro
Yonezawa, Atsushi
Sato, Yuki
Matsumura, Katsuyuki
Katada, Yoshiki
Nakagawa, Takayuki
Hamada, Satoshi
Tanabe, Naoya
Imoto, Eishi
Kai, Shinichi
Hirai, Toyohiro
Yanagita, Motoko
Ohtsuru, Shigeru
Terada, Tomohiro
Ito, Isao
author_facet Sukeishi, Asami
Itohara, Kotaro
Yonezawa, Atsushi
Sato, Yuki
Matsumura, Katsuyuki
Katada, Yoshiki
Nakagawa, Takayuki
Hamada, Satoshi
Tanabe, Naoya
Imoto, Eishi
Kai, Shinichi
Hirai, Toyohiro
Yanagita, Motoko
Ohtsuru, Shigeru
Terada, Tomohiro
Ito, Isao
author_sort Sukeishi, Asami
collection PubMed
description Remdesivir, a prodrug of the nucleoside analog GS‐441524, plays a key role in the treatment of coronavirus disease 2019 (COVID‐19). However, owing to limited information on clinical trials and inexperienced clinical use, there is a lack of pharmacokinetic (PK) data in patients with COVID‐19 with special characteristics. In this study, we aimed to measure serum GS‐441524 concentrations and develop a population PK (PopPK) model. Remdesivir was administered at a 200 mg loading dose on the first day followed by 100 mg from day 2, based on the package insert, in patients with an estimated glomerular filtration rate (eGFR) greater than or equal to 30 ml/min. In total, 190 concentrations from 37 Japanese patients were used in the analysis. The GS‐441524 trough concentrations were significantly higher in the eGFR less than 60 ml/min group than in the eGFR greater than or equal to 60 ml/min group. Extracorporeal membrane oxygenation in four patients hardly affected the total body clearance (CL) and volume of distribution (V (d)) of GS‐441524. A one‐compartment model described serum GS‐441524 concentration data. The CL and V (d) of GS‐441524 were significantly affected by eGFR readjusted by individual body surface area and age, respectively. Simulations proposed a dose regimen of 200 mg on day 1 followed by 100 mg once every 2 days from day 2 in patients with an eGFR of 30 ml/min or less. In conclusion, we successfully established a PopPK model of GS‐441524 using retrospectively obtained serum GS‐441524 concentrations in Japanese patients with COVID‐19, which would be helpful for optimal individualized therapy of remdesivir.
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spelling pubmed-86465682021-12-06 Population pharmacokinetic modeling of GS‐441524, the active metabolite of remdesivir, in Japanese COVID‐19 patients with renal dysfunction Sukeishi, Asami Itohara, Kotaro Yonezawa, Atsushi Sato, Yuki Matsumura, Katsuyuki Katada, Yoshiki Nakagawa, Takayuki Hamada, Satoshi Tanabe, Naoya Imoto, Eishi Kai, Shinichi Hirai, Toyohiro Yanagita, Motoko Ohtsuru, Shigeru Terada, Tomohiro Ito, Isao CPT Pharmacometrics Syst Pharmacol Research Remdesivir, a prodrug of the nucleoside analog GS‐441524, plays a key role in the treatment of coronavirus disease 2019 (COVID‐19). However, owing to limited information on clinical trials and inexperienced clinical use, there is a lack of pharmacokinetic (PK) data in patients with COVID‐19 with special characteristics. In this study, we aimed to measure serum GS‐441524 concentrations and develop a population PK (PopPK) model. Remdesivir was administered at a 200 mg loading dose on the first day followed by 100 mg from day 2, based on the package insert, in patients with an estimated glomerular filtration rate (eGFR) greater than or equal to 30 ml/min. In total, 190 concentrations from 37 Japanese patients were used in the analysis. The GS‐441524 trough concentrations were significantly higher in the eGFR less than 60 ml/min group than in the eGFR greater than or equal to 60 ml/min group. Extracorporeal membrane oxygenation in four patients hardly affected the total body clearance (CL) and volume of distribution (V (d)) of GS‐441524. A one‐compartment model described serum GS‐441524 concentration data. The CL and V (d) of GS‐441524 were significantly affected by eGFR readjusted by individual body surface area and age, respectively. Simulations proposed a dose regimen of 200 mg on day 1 followed by 100 mg once every 2 days from day 2 in patients with an eGFR of 30 ml/min or less. In conclusion, we successfully established a PopPK model of GS‐441524 using retrospectively obtained serum GS‐441524 concentrations in Japanese patients with COVID‐19, which would be helpful for optimal individualized therapy of remdesivir. John Wiley and Sons Inc. 2021-11-18 2022-01 /pmc/articles/PMC8646568/ /pubmed/34793625 http://dx.doi.org/10.1002/psp4.12736 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/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Research
Sukeishi, Asami
Itohara, Kotaro
Yonezawa, Atsushi
Sato, Yuki
Matsumura, Katsuyuki
Katada, Yoshiki
Nakagawa, Takayuki
Hamada, Satoshi
Tanabe, Naoya
Imoto, Eishi
Kai, Shinichi
Hirai, Toyohiro
Yanagita, Motoko
Ohtsuru, Shigeru
Terada, Tomohiro
Ito, Isao
Population pharmacokinetic modeling of GS‐441524, the active metabolite of remdesivir, in Japanese COVID‐19 patients with renal dysfunction
title Population pharmacokinetic modeling of GS‐441524, the active metabolite of remdesivir, in Japanese COVID‐19 patients with renal dysfunction
title_full Population pharmacokinetic modeling of GS‐441524, the active metabolite of remdesivir, in Japanese COVID‐19 patients with renal dysfunction
title_fullStr Population pharmacokinetic modeling of GS‐441524, the active metabolite of remdesivir, in Japanese COVID‐19 patients with renal dysfunction
title_full_unstemmed Population pharmacokinetic modeling of GS‐441524, the active metabolite of remdesivir, in Japanese COVID‐19 patients with renal dysfunction
title_short Population pharmacokinetic modeling of GS‐441524, the active metabolite of remdesivir, in Japanese COVID‐19 patients with renal dysfunction
title_sort population pharmacokinetic modeling of gs‐441524, the active metabolite of remdesivir, in japanese covid‐19 patients with renal dysfunction
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8646568/
https://www.ncbi.nlm.nih.gov/pubmed/34793625
http://dx.doi.org/10.1002/psp4.12736
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