Population pharmacokinetic analysis of lopinavir in HIV negative individuals exposed to SARS-CoV-2: a COPEP (COronavirus Post-Exposure Prophylaxis) sub-study.
Détails
Télécharger: s40360-023-00687-6.pdf (1855.64 [Ko])
Etat: Public
Version: Final published version
Licence: CC BY 4.0
Etat: Public
Version: Final published version
Licence: CC BY 4.0
ID Serval
serval:BIB_0252DE874823
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Population pharmacokinetic analysis of lopinavir in HIV negative individuals exposed to SARS-CoV-2: a COPEP (COronavirus Post-Exposure Prophylaxis) sub-study.
Périodique
BMC pharmacology & toxicology
Collaborateur⸱rice⸱s
Swiss HIV Cohort Study
ISSN
2050-6511 (Electronic)
ISSN-L
2050-6511
Statut éditorial
Publié
Date de publication
27/09/2023
Peer-reviewed
Oui
Volume
24
Numéro
1
Pages
47
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: epublish
Publication Status: epublish
Résumé
Lopinavir/ritonavir (LPV/r) is a drug traditionally used for the treatment of HIV that has been repurposed as a potential post-exposure prophylaxis agent against COVID-19 in the COronavirus Post-Exposure Prophylaxis (COPEP) study. The present analysis aims to evaluate LPV levels in individuals exposed to SARS-CoV-2 versus people living with HIV (PLWH) by developing a population pharmacokinetic (popPK) model, while characterizing external and patient-related factors that might affect LPV exposure along with dose-response association.
We built a popPK model on 105 LPV concentrations measured in 105 HIV-negative COPEP individuals exposed to SARS-CoV-2, complemented with 170 LPV concentrations from 119 PLWH followed in our routine therapeutic drug-monitoring programme. Published LPV popPK models developed in PLWH and in COVID-19 patients were retrieved and validated in our study population by mean prediction error (MPE) and root mean square error (RMSE). The association between LPV model-predicted residual concentrations (C <sub>min</sub> ) and the appearance of the COVID-19 infection in the COPEP participants was investigated.
A one-compartment model with linear absorption and elimination best described LPV concentrations in both our analysis and in the majority of the identified studies. Globally, similar PK parameters were found in all PK models, and provided close MPEs (from -19.4% to 8.0%, with a RMSE of 3.4% to 49.5%). No statistically significant association between C <sub>min</sub> and the occurrence of a COVID-19 infection could be detected.
Our analysis indicated that LPV circulating concentrations were similar between COPEP participants and PLWH, and that published popPK models described our data in a comparable way.
We built a popPK model on 105 LPV concentrations measured in 105 HIV-negative COPEP individuals exposed to SARS-CoV-2, complemented with 170 LPV concentrations from 119 PLWH followed in our routine therapeutic drug-monitoring programme. Published LPV popPK models developed in PLWH and in COVID-19 patients were retrieved and validated in our study population by mean prediction error (MPE) and root mean square error (RMSE). The association between LPV model-predicted residual concentrations (C <sub>min</sub> ) and the appearance of the COVID-19 infection in the COPEP participants was investigated.
A one-compartment model with linear absorption and elimination best described LPV concentrations in both our analysis and in the majority of the identified studies. Globally, similar PK parameters were found in all PK models, and provided close MPEs (from -19.4% to 8.0%, with a RMSE of 3.4% to 49.5%). No statistically significant association between C <sub>min</sub> and the occurrence of a COVID-19 infection could be detected.
Our analysis indicated that LPV circulating concentrations were similar between COPEP participants and PLWH, and that published popPK models described our data in a comparable way.
Mots-clé
Humans, Lopinavir/therapeutic use, Lopinavir/pharmacokinetics, SARS-CoV-2, Post-Exposure Prophylaxis, COVID-19, COVID-19 Drug Treatment, HIV Infections/drug therapy, COVID, Lopinavir, NONMEM, Pharmacometrics, Therapeutic drug monitoring
Pubmed
Web of science
Open Access
Oui
Financement(s)
Université de Lausanne
Création de la notice
28/09/2023 7:57
Dernière modification de la notice
25/11/2023 7:08