Background and Objectives <p>There are limited data testing whether the licensed dose of remdesivir and its active metabolite GS-441524 achieve target concentrations in hospitalised patients with confirmed severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), the cause of coronavirus disease-2019 (COVID-19). The objectives of this study were to describe the population pharmacokinetics of remdesivir and GS-441524 in hospitalised patients treated for COVID-19 and develop a model to inform dose optimisation in clinical use.</p> Methods <p>This was a prospective, open-labelled, multi-centre, observational study in four Australian hospitals in adults with confirmed SARS-CoV-2 infection. Patients were administered the licensed remdesivir dose. Remdesivir and GS-441524 concentrations were quantified in multiple plasma samples at different times in the dosing interval by ultra-high-performance liquid chromatography-mass spectrometry/mass spectrometry (LC-MS/MS). Patients were divided into two groups: pharmacokinetic model building and external validation. A population pharmacokinetic analysis was built using non-linear mixed-effects modelling. Monte Carlo simulations were performed to describe the impact of age, kidney function and dosing regimen on drug concentrations.</p> Results <p>In total, 33 patients were enrolled (median age 70 years, estimated glomerular filtration rate (eGFR) 80 mL/min/1.73 m<sup>2</sup>). The pharmacokinetics for both compounds were adequately described by a two-compartment model (one compartment for each compound) with first-order elimination. Key covariates included in the final model were age and eGFR. GS-441524 plasma concentrations exceeded the lowest reported half-maximal effective concentration (EC<sub>50</sub>) with the recommended dosage, and higher dosages exceeded the lowest reported 90%-effective concentration (EC<sub>90</sub>).</p> Conclusions <p>The licensed remdesivir dose may achieve target concentrations of GS-441524, but higher dosages may optimise outcomes. Dose adjustments are guided primarily by kidney function.</p>

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Population Pharmacokinetic Modelling of Remdesivir and Its Metabolite GS-441524 in Hospitalised Patients with COVID-19

  • Darren M. Roberts,
  • Xin Liu,
  • Suzanne L. Parker,
  • Andrew Burke,
  • Jenny Peek,
  • Jane E. Carland,
  • Bridin Murnion,
  • Vincent Seah,
  • Steven C. Wallis,
  • Chandra D. Sumi,
  • Saurabh Pandey,
  • Hergen Buscher,
  • Anthony Byrne,
  • Indy Sandaradura,
  • David Bowen,
  • Simon Holz,
  • Adam G. Stewart,
  • Krispin M. Hajkowicz,
  • Jason A. Roberts

摘要

Background and Objectives

There are limited data testing whether the licensed dose of remdesivir and its active metabolite GS-441524 achieve target concentrations in hospitalised patients with confirmed severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), the cause of coronavirus disease-2019 (COVID-19). The objectives of this study were to describe the population pharmacokinetics of remdesivir and GS-441524 in hospitalised patients treated for COVID-19 and develop a model to inform dose optimisation in clinical use.

Methods

This was a prospective, open-labelled, multi-centre, observational study in four Australian hospitals in adults with confirmed SARS-CoV-2 infection. Patients were administered the licensed remdesivir dose. Remdesivir and GS-441524 concentrations were quantified in multiple plasma samples at different times in the dosing interval by ultra-high-performance liquid chromatography-mass spectrometry/mass spectrometry (LC-MS/MS). Patients were divided into two groups: pharmacokinetic model building and external validation. A population pharmacokinetic analysis was built using non-linear mixed-effects modelling. Monte Carlo simulations were performed to describe the impact of age, kidney function and dosing regimen on drug concentrations.

Results

In total, 33 patients were enrolled (median age 70 years, estimated glomerular filtration rate (eGFR) 80 mL/min/1.73 m2). The pharmacokinetics for both compounds were adequately described by a two-compartment model (one compartment for each compound) with first-order elimination. Key covariates included in the final model were age and eGFR. GS-441524 plasma concentrations exceeded the lowest reported half-maximal effective concentration (EC50) with the recommended dosage, and higher dosages exceeded the lowest reported 90%-effective concentration (EC90).

Conclusions

The licensed remdesivir dose may achieve target concentrations of GS-441524, but higher dosages may optimise outcomes. Dose adjustments are guided primarily by kidney function.