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An Intestine/Liver Microphysiological System for Drug Pharmacokinetic and Toxicological Assessment

An Intestine/Liver Microphysiological System for Drug Pharmacokinetic and Toxicological Assessment

Published on: December 3, 2020

Population pharmacokinetics with a very small sample size.

Iftekhar Mahmood¹, John Duan

¹Office of Blood Review & Research, Center for Biologic Evaluation and Research, Food & Drug Administration, Rockville Pike, MD 20852, USA. iftekhar.mahmood@fda.hhs.gov

Drug Metabolism and Drug Interactions

|April 23, 2010

Summary

A small sample size of five subjects, each providing two blood samples, can yield reliable pharmacokinetic parameters in population pharmacokinetic studies. This sparse sampling method is valuable for populations with limited sample availability.

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Area of Science:

Pharmacokinetics
Population Pharmacokinetics
Drug Development

Background:

Accurate pharmacokinetic parameters are crucial for drug development and dosing.
Traditional population pharmacokinetic studies often require extensive sampling, which can be challenging in certain populations.

Purpose of the Study:

To assess the feasibility of obtaining reliable pharmacokinetic parameters using a very small sample size in population pharmacokinetic (PK) studies.
To evaluate the accuracy of PK parameter estimates derived from sparse sampling compared to extensive sampling.

Main Methods:

Three drugs with available extensive pharmacokinetic data were selected.
A population PK analysis was performed using data from only five subjects, with each subject providing one or two blood samples.
Estimated PK parameters from sparse sampling were compared against those from extensive sampling.

Main Results:

A sample size of five subjects, with each providing two blood samples, yielded reasonable estimates of key pharmacokinetic parameters (clearance and volume of distribution).
Sparse sampling population PK analysis demonstrated comparable results to extensive sampling methods.

Conclusions:

Population pharmacokinetic studies with a sparse sampling scheme and a small sample size are feasible for estimating key PK parameters.
This approach is particularly beneficial for studies involving neonates, young children, or patients with rare diseases where large sample sizes are impractical.