Computing optimal drug dosing with OptiDose: implementation in NONMEM

Determining a drug dosing recommendation with a PKPD model can be a laborious and complex task. Recently, an optimal dosing algorithm (OptiDose) was developed to compute the optimal doses for any pharmacometrics/PKPD model for a given dosing scenario. In the present work, we reformulate the underlyi...

Full description

Saved in:
Bibliographic Details
Published inJournal of pharmacokinetics and pharmacodynamics Vol. 50; no. 3; pp. 173 - 188
Main Authors Bachmann, Freya, Koch, Gilbert, Bauer, Robert J., Steffens, Britta, Szinnai, Gabor, Pfister, Marc, Schropp, Johannes
Format Journal Article
LanguageEnglish
Published New York Springer US 01.06.2023
Springer Nature B.V
Subjects
Algorithms
Biochemistry
Biomarkers
Biomedical and Life Sciences
Biomedical Engineering and Bioengineering
Biomedicine
Dosage
Drug dosages
Mathematical functions
Optimization
Original Paper
Pediatrics
Pharmacodynamics
Pharmacokinetics
Pharmacology/Toxicology
Pharmacy
Software
Veterinary Medicine/Veterinary Science
Optimal dosing
Dose optimization
Pharmacometrics
Therapeutic goal
Optimal control
Online AccessGet full text

Cover

More Information
Summary:Determining a drug dosing recommendation with a PKPD model can be a laborious and complex task. Recently, an optimal dosing algorithm (OptiDose) was developed to compute the optimal doses for any pharmacometrics/PKPD model for a given dosing scenario. In the present work, we reformulate the underlying optimal control problem and elaborate how to solve it with standard commands in the software NONMEM. To demonstrate the potential of the OptiDose implementation in NONMEM, four relevant but substantially different optimal dosing tasks are solved. In addition, the impact of different dosing scenarios as well as the choice of the therapeutic goal on the computed optimal doses are discussed.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1567-567X
1573-8744
DOI:10.1007/s10928-022-09840-w