Exploring various measures of the area under the curve for the assessment of dose-proportionality and estimation of bioavailability
Abstract Objective In pharmacokinetics, the area under the concentration versus time curve (AUC) extrapolated to infinity (AUC0−∞) is the preferred metric but it is not always possible to have a reliable estimate of the terminal phase half-life. Here we sought to explore the accuracy of three differ...
Gespeichert in:
Veröffentlicht in: | Journal of pharmacy and pharmacology 2024-03, Vol.76 (3), p.245-256 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | Abstract
Objective
In pharmacokinetics, the area under the concentration versus time curve (AUC) extrapolated to infinity (AUC0−∞) is the preferred metric but it is not always possible to have a reliable estimate of the terminal phase half-life. Here we sought to explore the accuracy of three different area measures to accurately identify dose proportionality and bioavailability.
Methods
One to three compartment model simulations with different doses for dose-proportionality or different rates and/or extents of bioavailability. Area measures evaluated were AUC0−∞, to the last quantifiable concentration (AUCtlast), and to a common time value (AUCt’).
Results
Under linear pharmacokinetics, AUCt’ provided the most accurate measure of dose proportionality. Except for the one compartment model where AUC0−∞ provided the best predictor of the true measure, there was no clear advantage to the use of either of the three measures of AUC.
Conclusion
With uncertainty about the terminal phase half-life, the use of AUCt’ can be a very useful and even the preferred measure of exposure for use in assessing proportionality in exposure between doses. The choice of AUC measure in bioavailability is less clear and may depend on compartmental nature of the drug, and study parameters including assay sensitivity and sampling protocols.
Graphical Abstract
Graphical Abstract |
---|---|
ISSN: | 0022-3573 2042-7158 |
DOI: | 10.1093/jpp/rgae004 |