title: Estimation of pharmacokinetic parameters based on the patient-adjusted population data.
abstract: Population pharmacokinetic data, adjusted for patient characteristics, are recommended for the design of initial dosage regimens of some therapeutically monitored drugs in patients for whom patient-specific data are not available. However, despite widespread use by clinicians such as pharmacists, a clear understanding of the principles of population pharmacokinetics, including data collection and analysis and its limitations, is often lacking. This article describes the 2 main methods of obtaining population kinetic data, namely the two-stage method and nonlinear mixed effect model, and their applications to the pharmacokinetic-based design of dosage regimens. Additionally, some numerical examples are provided to assist the reader in understanding the material. The author uses these tools in a pharmacokinetics course taught to PharmD students.
authors.affiliation: School of Pharmacy, Texas Tech University Health Sciences Center, 1300 S. Coulter, Amarillo, TX 79106, USA. reza.mehvar@ttuhsc.edu
authors.forename: Reza
authors.initials: R
authors.lastname: Mehvar
mesh_terms: D004304:Dosage Forms; D004512:Education, Pharmacy / Q000379:methods*; D006801:Humans; D008954:Models, Biological; D017711:Nonlinear Dynamics; D010361:Patients; D010599:Pharmacokinetics; D044382:Population Groups
chemical_list: D004304:Dosage Forms