Abstract:
INTRODUCTION:The analytical solutions to compartmental pharmacokinetic models are well known, but have not been presented in a form that easily allows for complex dosing regimen and changes in covariate/parameter values that may occur at discrete times within and/or between dosing intervals. METHODS:Laplace transforms were used to derive ADVAN-style analytical solutions for 1, 2, and 3 compartment pharmacokinetic linear models of intravenous and first-order absorption drug administration. The equations calculate the change in drug amounts in each compartment of the model over a time interval (t; t = t2 - t1) accounting for any dose or covariate events acting in the time interval. The equations were coded in the R language and used to simulate the time-course of drug amounts in each compartment of the systems. The equations were validated against commercial software [NONMEM (Beal, Sheiner, Boeckmann, & Bauer, 2009)] output to assess their capability to handle both complex dosage regimens and the effect of changes in covariate/parameter values that may occur at discrete times within or between dosing intervals. RESULTS:For all tested pharmacokinetic models, the time-course of drug amounts using the ADVAN-style analytical solutions were identical to NONMEM outputs to at least four significant figures, confirming the validity of the presented equations. DISCUSSION:To our knowledge, this paper presents the ADVAN-style equations for common pharmacokinetic models in the literature for the first time. The presented ADVAN-style equations overcome obstacles to implementing the classical analytical solutions in software, and have speed advantages over solutions using differential equation solvers. The equations presented in this paper fill a gap in the pharmacokinetic literature, and it is expected that these equations will facilitate the investigation of useful open-source software for modelling pharmacokinetic data.
journal_name
J Pharmacol Toxicol Methodsjournal_title
Journal of pharmacological and toxicological methodsauthors
Abuhelwa AY,Foster DJ,Upton RNdoi
10.1016/j.vascn.2015.03.004subject
Has Abstractpub_date
2015-05-01 00:00:00pages
42-8eissn
1056-8719issn
1873-488Xpii
S1056-8719(15)00036-2journal_volume
73pub_type
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journal_title:Journal of pharmacological and toxicological methods
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journal_title:Journal of pharmacological and toxicological methods
pub_type: 杂志文章,评审
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journal_title:Journal of pharmacological and toxicological methods
pub_type: 历史文章,杂志文章,评审
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abstract:INTRODUCTION:The Health and Environmental Sciences Institute of the International Life Sciences Institute (ILSI/HESI) Cardiovascular Safety Subcommittee outlined a set of in vivo telemetry studies to determine how well this preclinical model identified compounds known to cause torsades de pointes (TdP) and prolong QT i...
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pub_type: 杂志文章
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