Methods to account for inaccuracies in the dosing history when performing population pharmacokinetic analysis

Venkata V Pavan Kumar1, Stephen B Duffull

  • 1School of Pharmacy, University of Otago, Dunedin, New Zealand. pavan.kumar@otago.ac.nz

Abstract

Insights

A new method, the concentration time method (CTM), effectively addresses missing dose history in pharmacokinetic modeling. CTM provides accurate parameter estimates comparable to ideal methods when nominal dosing information is available.

Area of Science:

  • Pharmacokinetics
  • Pharmacometric modeling
  • Drug development

Background:

  • Accurate dose history is crucial for pharmacokinetic (PK) modeling.
  • Missing dose history (MDH) is a common challenge in PK analysis.
  • Existing methods for handling MDH have limitations.

Purpose of the Study:

  • To develop and evaluate novel methods for accounting for missing dose history.
  • To assess the performance of different approaches in handling MDH in PK studies.

Main Methods:

  • A simulation study was conducted using NONMEM with varying doses, timings, and formulations.
  • Four methods were compared: ideal dose method (IDM), concentration minimum method (CMM), extrapolation subtraction method (ESM), and the novel concentration time method (CTM).
  • CTM estimates the time of the previous dose event to account for MDH.

Main Results:

  • The concentration time method (CTM) demonstrated superiority over the extrapolation subtraction method (ESM) and concentration minimum method (CMM).
  • Parameter estimates obtained using CTM were comparable in accuracy to those from the ideal dose method (IDM).

Conclusions:

  • The concentration time method (CTM) is a simple and effective approach for managing potential inaccuracies in dose history.
  • CTM is particularly useful when nominal dosing history is available, improving PK model reliability.

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