Parametric Approaches in Population Pharmacokinetics.

Details

Serval ID
serval:BIB_4AEA287B02AD
Type
Article: article from journal or magazin.
Publication sub-type
Review (review): journal as complete as possible of one specific subject, written based on exhaustive analyses from published work.
Collection
Publications
Institution
Title
Parametric Approaches in Population Pharmacokinetics.
Journal
Journal of clinical pharmacology
Author(s)
Guidi M., Csajka C., Buclin T.
ISSN
1552-4604 (Electronic)
ISSN-L
0091-2700
Publication state
Published
Issued date
02/2022
Peer-reviewed
Oui
Volume
62
Number
2
Pages
125-141
Language
english
Notes
Publication types: Journal Article ; Review
Publication Status: ppublish
Abstract
Population pharmacokinetic (popPK) approaches have spread widely throughout clinical pharmacology research, and every clinician should have some understanding of them. After a general introduction on the fundamentals and fields of application of these approaches, this review focuses on parametric popPK methods to provide the clinicians with the conceptual tools to interpret appropriately the results of parametric popPK analyses and to understand their clinical utility. The emphasis is put on the clinical questions that popPK methods are best suited to address. The basic principles of the methodology are introduced first, and then the main algorithms and reference software programs used in such analyses are presented. The description of data analysis and clinical applications of the parametric popPK approach (ie, use in simulations and therapeutic drug monitoring) are illustrated with the example of the antiretroviral drug efavirenz.
Keywords
Age Factors, Algorithms, Alkynes/pharmacokinetics, Area Under Curve, Benzoxazines/pharmacokinetics, Cyclopropanes/pharmacokinetics, Humans, Metabolic Clearance Rate, Models, Biological, Models, Statistical, Pharmacokinetics, Sex Factors, Software Design, clinical pharmacology (CPH), drug development, education (EDU), modeling & simulation, population pharmacokinetics
Pubmed
Web of science
Create date
02/11/2020 12:53
Last modification date
16/08/2022 5:40
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