Cargando…
Population pharmacokinetic modelling to quantify the magnitude of drug-drug interactions between amlodipine and antiretroviral drugs
PURPOSE: Drug-drug interactions (DDIs) with antiretroviral drugs (ARVs) represent an important issue in elderly people living with HIV (PLWH). Amlodipine is a commonly prescribed antihypertensive drug metabolized by CYP3A4, thus predisposed to a risk of DDIs. Guidance on the management of DDIs is mo...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8184532/ https://www.ncbi.nlm.nih.gov/pubmed/33452585 http://dx.doi.org/10.1007/s00228-020-03060-2 |
_version_ | 1783704610577317888 |
---|---|
author | Courlet, Perrine Guidi, Monia Alves Saldanha, Susana Cavassini, Matthias Stoeckle, Marcel Buclin, Thierry Marzolini, Catia Decosterd, Laurent A. Csajka, Chantal |
author_facet | Courlet, Perrine Guidi, Monia Alves Saldanha, Susana Cavassini, Matthias Stoeckle, Marcel Buclin, Thierry Marzolini, Catia Decosterd, Laurent A. Csajka, Chantal |
author_sort | Courlet, Perrine |
collection | PubMed |
description | PURPOSE: Drug-drug interactions (DDIs) with antiretroviral drugs (ARVs) represent an important issue in elderly people living with HIV (PLWH). Amlodipine is a commonly prescribed antihypertensive drug metabolized by CYP3A4, thus predisposed to a risk of DDIs. Guidance on the management of DDIs is mostly based on theoretical considerations derived from coadministration with other CYP3A4 inhibitors. This study aimed at characterizing the magnitude of DDIs between amlodipine and ARV drugs in order to establish dosing recommendations. METHODS: A population pharmacokinetic analysis was developed using non-linear mixed effect modelling (NONMEM) and included 163 amlodipine concentrations from 55 PLWH. Various structural and error models were compared to characterize optimally the concentration-time profile of amlodipine. Demographic and clinical characteristics as well as comedications were tested as potential influential covariates. Model-based simulations were performed to compare amlodipine exposure (i.e. area under the curve, AUC) between coadministered ARV drugs. RESULTS: Amlodipine concentration-time profile was best described using a one-compartment model with first-order absorption and a lag-time. Amlodipine apparent clearance was influenced by both CYP3A4 inhibitors and efavirenz (CYP3A4 inducer). Model-based simulations revealed that amlodipine AUC increased by 96% when coadministered with CYP3A4 inhibitors, while efavirenz decreased drug exposure by 59%. CONCLUSION: Coadministered ARV drugs significantly impact amlodipine disposition in PLWH. Clinicians should adjust amlodipine dosage accordingly, by halving the dosage in PLWH receiving ARV with inhibitory properties (mainly ritonavir-boosted darunavir), whereas they should double amlodipine doses when coadministering it with efavirenz, under appropriate monitoring of clinical response and tolerance. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00228-020-03060-2. |
format | Online Article Text |
id | pubmed-8184532 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-81845322021-06-25 Population pharmacokinetic modelling to quantify the magnitude of drug-drug interactions between amlodipine and antiretroviral drugs Courlet, Perrine Guidi, Monia Alves Saldanha, Susana Cavassini, Matthias Stoeckle, Marcel Buclin, Thierry Marzolini, Catia Decosterd, Laurent A. Csajka, Chantal Eur J Clin Pharmacol Pharmacokinetics and Disposition PURPOSE: Drug-drug interactions (DDIs) with antiretroviral drugs (ARVs) represent an important issue in elderly people living with HIV (PLWH). Amlodipine is a commonly prescribed antihypertensive drug metabolized by CYP3A4, thus predisposed to a risk of DDIs. Guidance on the management of DDIs is mostly based on theoretical considerations derived from coadministration with other CYP3A4 inhibitors. This study aimed at characterizing the magnitude of DDIs between amlodipine and ARV drugs in order to establish dosing recommendations. METHODS: A population pharmacokinetic analysis was developed using non-linear mixed effect modelling (NONMEM) and included 163 amlodipine concentrations from 55 PLWH. Various structural and error models were compared to characterize optimally the concentration-time profile of amlodipine. Demographic and clinical characteristics as well as comedications were tested as potential influential covariates. Model-based simulations were performed to compare amlodipine exposure (i.e. area under the curve, AUC) between coadministered ARV drugs. RESULTS: Amlodipine concentration-time profile was best described using a one-compartment model with first-order absorption and a lag-time. Amlodipine apparent clearance was influenced by both CYP3A4 inhibitors and efavirenz (CYP3A4 inducer). Model-based simulations revealed that amlodipine AUC increased by 96% when coadministered with CYP3A4 inhibitors, while efavirenz decreased drug exposure by 59%. CONCLUSION: Coadministered ARV drugs significantly impact amlodipine disposition in PLWH. Clinicians should adjust amlodipine dosage accordingly, by halving the dosage in PLWH receiving ARV with inhibitory properties (mainly ritonavir-boosted darunavir), whereas they should double amlodipine doses when coadministering it with efavirenz, under appropriate monitoring of clinical response and tolerance. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00228-020-03060-2. Springer Berlin Heidelberg 2021-01-16 2021 /pmc/articles/PMC8184532/ /pubmed/33452585 http://dx.doi.org/10.1007/s00228-020-03060-2 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Pharmacokinetics and Disposition Courlet, Perrine Guidi, Monia Alves Saldanha, Susana Cavassini, Matthias Stoeckle, Marcel Buclin, Thierry Marzolini, Catia Decosterd, Laurent A. Csajka, Chantal Population pharmacokinetic modelling to quantify the magnitude of drug-drug interactions between amlodipine and antiretroviral drugs |
title | Population pharmacokinetic modelling to quantify the magnitude of drug-drug interactions between amlodipine and antiretroviral drugs |
title_full | Population pharmacokinetic modelling to quantify the magnitude of drug-drug interactions between amlodipine and antiretroviral drugs |
title_fullStr | Population pharmacokinetic modelling to quantify the magnitude of drug-drug interactions between amlodipine and antiretroviral drugs |
title_full_unstemmed | Population pharmacokinetic modelling to quantify the magnitude of drug-drug interactions between amlodipine and antiretroviral drugs |
title_short | Population pharmacokinetic modelling to quantify the magnitude of drug-drug interactions between amlodipine and antiretroviral drugs |
title_sort | population pharmacokinetic modelling to quantify the magnitude of drug-drug interactions between amlodipine and antiretroviral drugs |
topic | Pharmacokinetics and Disposition |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8184532/ https://www.ncbi.nlm.nih.gov/pubmed/33452585 http://dx.doi.org/10.1007/s00228-020-03060-2 |
work_keys_str_mv | AT courletperrine populationpharmacokineticmodellingtoquantifythemagnitudeofdrugdruginteractionsbetweenamlodipineandantiretroviraldrugs AT guidimonia populationpharmacokineticmodellingtoquantifythemagnitudeofdrugdruginteractionsbetweenamlodipineandantiretroviraldrugs AT alvessaldanhasusana populationpharmacokineticmodellingtoquantifythemagnitudeofdrugdruginteractionsbetweenamlodipineandantiretroviraldrugs AT cavassinimatthias populationpharmacokineticmodellingtoquantifythemagnitudeofdrugdruginteractionsbetweenamlodipineandantiretroviraldrugs AT stoecklemarcel populationpharmacokineticmodellingtoquantifythemagnitudeofdrugdruginteractionsbetweenamlodipineandantiretroviraldrugs AT buclinthierry populationpharmacokineticmodellingtoquantifythemagnitudeofdrugdruginteractionsbetweenamlodipineandantiretroviraldrugs AT marzolinicatia populationpharmacokineticmodellingtoquantifythemagnitudeofdrugdruginteractionsbetweenamlodipineandantiretroviraldrugs AT decosterdlaurenta populationpharmacokineticmodellingtoquantifythemagnitudeofdrugdruginteractionsbetweenamlodipineandantiretroviraldrugs AT csajkachantal populationpharmacokineticmodellingtoquantifythemagnitudeofdrugdruginteractionsbetweenamlodipineandantiretroviraldrugs |