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. 2021 Apr;38(4):625-635.
doi: 10.1007/s11095-021-03000-4. Epub 2021 Mar 22.

A Signal Processing Approach to Pharmacokinetic Data Analysis

C O S Sorzano  1   2 , M A Pérez-de-la-Cruz Moreno  3 , F R Martín  4 , C Montejo  4 , A Aguilar-Ros  4
Affiliations

A Signal Processing Approach to Pharmacokinetic Data Analysis

C O S Sorzano et al. Pharm Res. 2021 Apr.

Abstract

The connection between pharmacokinetic models and system theory has been established for a long time. In this approach, the drug concentration is seen as the output of a system whose input is the drug administered at different times. In this article we further explore this connection. We show that system theory can be used to easily accommodate any therapeutic regime, no matter its complexity, allowing the identification of the pharmacokinetic parameters by means of a non-linear regression analysis. We illustrate how to exploit the properties of linear systems to identify non-linearities in the pharmacokinetic data. We also explore the use of bootstrapping as a way to compare populations of pharmacokinetic parameters and how to handle the common situation of using multiple hypothesis tests as a way to distinguish two different populations. Finally, we demonstrate how the bootstrap values can be used to estimate the distribution of derived parameters, as can be the allometric scale factors.

Keywords: bootstrap; linear systems; pharmacokinetics; signal processing.

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References

    1. Bertrand J, Mentré F. Mathematical expressions of the pharmacokinetic and pharmacodynamic models implemented in the Monolix software. Tech Rep, INSERM U738, Paris Diderot University, 2008.
    1. Cutler DJ. Linear systems analysis in pharmacokinetics. J Pharmacokinetics, Biopharmaceut. 1978;6:265–82. - DOI
    1. Pedersen PV. Model-independent method of analyzing input in linear pharmacokinetic systems having polyexponential impulse response i: theoretical analysis. J Pharm Sci. 1980;69:298–305. - DOI
    1. Pohjanpalo H. System identifiability based on the power series expansion of the solution. Math Biosci. 1978;41:21–33. - DOI
    1. Weiss M, Föerster W. Pharmacokinetic model based on circulatory transport. Eur J Clin Pharmacol. 1979;16:287–93. - DOI

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