{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["88(10)"],"submitter":["Han K"],"pubmed_abstract":["<h4>Aim</h4>To characterize cabotegravir population pharmacokinetics using data from phase 1, 2 and 3 studies and evaluate the association of intrinsic and extrinsic factors with pharmacokinetic variability.<h4>Methods</h4>Analyses were implemented in NONMEM and R. Concentrations below the quantitation limit were modelled with likelihood-based approaches. Covariate relationships were evaluated using forward addition (P < .01) and backward elimination (P < .001) approaches. The impact of each covariate on trough and peak concentrations was evaluated through simulations. External validation was performed using prediction-corrected visual predictive checks.<h4>Results</h4>The model-building dataset included 23 926 plasma concentrations from 1647 adult HIV-1-infected (72%) and uninfected (28%)"],"journal":["British journal of clinical pharmacology"],"pagination":["4607-4622"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9543358"],"repository":["biostudies-literature"],"pubmed_title":["Population pharmacokinetics of cabotegravir following administration of oral tablet and long-acting intramuscular injection in adult HIV-1-infected and uninfected subjects."],"pmcid":["PMC9543358"],"pubmed_authors":["Landovitz RJ","Han K","Benn PD","Marzinke MA","Paul P","Moore KP","Ford SL","Xiong Y","Patel P","Baker M","Seal CS","Lovern M","Spreen WR","D'Amico RD","Cutrell AG"],"additional_accession":[]},"is_claimable":false,"name":"Population pharmacokinetics of cabotegravir following administration of oral tablet and long-acting intramuscular injection in adult HIV-1-infected and uninfected subjects.","description":"<h4>Aim</h4>To characterize cabotegravir population pharmacokinetics using data from phase 1, 2 and 3 studies and evaluate the association of intrinsic and extrinsic factors with pharmacokinetic variability.<h4>Methods</h4>Analyses were implemented in NONMEM and R. Concentrations below the quantitation limit were modelled with likelihood-based approaches. Covariate relationships were evaluated using forward addition (P < .01) and backward elimination (P < .001) approaches. The impact of each covariate on trough and peak concentrations was evaluated through simulations. External validation was performed using prediction-corrected visual predictive checks.<h4>Results</h4>The model-building dataset included 23 926 plasma concentrations from 1647 adult HIV-1-infected (72%) and uninfected (28%)","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Oct","modification":"2025-04-04T20:03:48.534Z","creation":"2025-04-04T20:03:48.534Z"},"accession":"S-EPMC9543358","cross_references":{"pubmed":["35695476"],"doi":["10.1111/bcp.15439"]}}