Characterizing SARS-CoV-2 viral clearance kinetics to improve the design of antiviral pharmacometric studies

A consensus methodology for the pharmacometric assessment of candidate SARS-CoV-2 antiviral drugs would be useful for comparing trial results and improving trial design. The time to viral clearance, assessed by serial qPCR of nasopharyngeal swab samples, has been the most widely reported measure of...

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Main Authors: Watson, JA, Kissler, SM, Day, NPJ, Grad, YH, White, NJ
Format: Journal article
Language:English
Published: American Society for Microbiology 2022
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author Watson, JA
Kissler, SM
Day, NPJ
Grad, YH
White, NJ
author_facet Watson, JA
Kissler, SM
Day, NPJ
Grad, YH
White, NJ
author_sort Watson, JA
collection OXFORD
description A consensus methodology for the pharmacometric assessment of candidate SARS-CoV-2 antiviral drugs would be useful for comparing trial results and improving trial design. The time to viral clearance, assessed by serial qPCR of nasopharyngeal swab samples, has been the most widely reported measure of virological response in clinical trials, but it has not been compared formally with other metrics, notably model-based estimates of the rate of viral clearance. We analyzed prospectively gathered viral clearance profiles from 280 infection episodes in vaccinated and unvaccinated individuals. We fitted different phenomenological pharmacodynamic models (single exponential decay, bi-exponential, penalized splines) and found that the clearance rate, estimated from a mixed effects single exponential decay model, is a robust pharmacodynamic summary of viral clearance. The rate of viral clearance, estimated from viral densities during the first week following peak viral load, provides increased statistical power (reduced type 2 error) compared with time to clearance. Antiviral effects approximately equivalent to those with currently used and recommended SARS-CoV-2 antiviral treatments, notably nirmatrelvir and molnupiravir, can be detected from randomized trials with sample sizes of only 35 to 65 patients per arm. We recommend that pharmacometric antiviral assessments should be conducted in early COVID-19 illness with serial qPCR samples taken over 1 week.
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spelling oxford-uuid:b63350b6-330c-440c-873d-55e840cca96e2023-02-21T16:09:54ZCharacterizing SARS-CoV-2 viral clearance kinetics to improve the design of antiviral pharmacometric studiesJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:b63350b6-330c-440c-873d-55e840cca96eEnglishSymplectic ElementsAmerican Society for Microbiology2022Watson, JAKissler, SMDay, NPJGrad, YHWhite, NJA consensus methodology for the pharmacometric assessment of candidate SARS-CoV-2 antiviral drugs would be useful for comparing trial results and improving trial design. The time to viral clearance, assessed by serial qPCR of nasopharyngeal swab samples, has been the most widely reported measure of virological response in clinical trials, but it has not been compared formally with other metrics, notably model-based estimates of the rate of viral clearance. We analyzed prospectively gathered viral clearance profiles from 280 infection episodes in vaccinated and unvaccinated individuals. We fitted different phenomenological pharmacodynamic models (single exponential decay, bi-exponential, penalized splines) and found that the clearance rate, estimated from a mixed effects single exponential decay model, is a robust pharmacodynamic summary of viral clearance. The rate of viral clearance, estimated from viral densities during the first week following peak viral load, provides increased statistical power (reduced type 2 error) compared with time to clearance. Antiviral effects approximately equivalent to those with currently used and recommended SARS-CoV-2 antiviral treatments, notably nirmatrelvir and molnupiravir, can be detected from randomized trials with sample sizes of only 35 to 65 patients per arm. We recommend that pharmacometric antiviral assessments should be conducted in early COVID-19 illness with serial qPCR samples taken over 1 week.
spellingShingle Watson, JA
Kissler, SM
Day, NPJ
Grad, YH
White, NJ
Characterizing SARS-CoV-2 viral clearance kinetics to improve the design of antiviral pharmacometric studies
title Characterizing SARS-CoV-2 viral clearance kinetics to improve the design of antiviral pharmacometric studies
title_full Characterizing SARS-CoV-2 viral clearance kinetics to improve the design of antiviral pharmacometric studies
title_fullStr Characterizing SARS-CoV-2 viral clearance kinetics to improve the design of antiviral pharmacometric studies
title_full_unstemmed Characterizing SARS-CoV-2 viral clearance kinetics to improve the design of antiviral pharmacometric studies
title_short Characterizing SARS-CoV-2 viral clearance kinetics to improve the design of antiviral pharmacometric studies
title_sort characterizing sars cov 2 viral clearance kinetics to improve the design of antiviral pharmacometric studies
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