Assessment of pharmacokinetic linearity after repeated drug administration. (17th March 2022)

• Record Type: Journal Article
• Authors: Bauer, Alexander; Kagedal, Matts; Wolfsegger, Martin J.
• Is Part Of: Pharmaceutical statistics. Volume 21:Number 5(2022)
• Page Start: 932
• Page End: 943
• Publication Date: 2022-03-17
• Subjects: drug accumulation -- PK linearity -- SAD/MAD studies -- superposition principle -- time dependent PK; Pharmacy -- Statistical methods -- Periodicals; Pharmacy -- Statistics -- Periodicals; 615.10727
• DOI: 10.1002/pst.2206
• Languages: English
• ISSNs: 1539-1604

Abstract

Abstract: The prediction of drug concentration time courses after different dosing scenarios is greatly facilitated if the pharmacokinetics (PK) can be assumed linear. The assumption of linear PK thus needs careful evaluation for any new drug in development. Under linear PK, exposure is proportional to dose (linear PK across doses) and exposure at steady state can be predicted from a single dose based on the superposition principle (linear PK over time). While investigation of dose‐proportionality is common practice, evaluation of time dependent PK has received less attention in the literature. In particular, the superposition principle can be used to assess whether the observed extent of accumulation after repeated administration is expected under the premise of linear PK. This work emphasizes the importance of the time related aspect of linear PK by introducing the predictability ratio (PR). Linear PK over time can be concluded if PR = 1. Accumulation is higher than expected if PR >1, and lower if PR <1. If PK data from multiple dose cohorts are available, the PR is assessed for each dose cohort and a supportive hypothesis test can be applied to test for potential differences between doses in PR.