Data are mean predicted k values. Conditions: (A) nine data sets, 10% random error; (6) six data sets, 20% random error; (C) nine data sets, limited Cand t,10% random error. The real value of k for conditions A-C is 0.5. Values in parentheses are coefficients of variation; ranges are ranges of predi
Oral and IV dosing: A method to determine the compartment of drug elimination for two-compartment models
โ Scribed by J.W.T. Yates; P.A. Arundel
- Publisher
- John Wiley and Sons
- Year
- 2008
- Tongue
- English
- Weight
- 91 KB
- Volume
- 97
- Category
- Article
- ISSN
- 0022-3549
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โฆ Synopsis
It has been shown previously that it is impossible to measure the volume of distribution at steady state conclusively for a multicompartment system from an iv bolus dose only. The problem lies in deciding from which compartment elimination of the drug occurs in the compartmental model. In this paper a new modelling strategy is examined whereby the compartment of elimination may be identified uniquely for the case of two-compartment models. The two models examined predict different profiles in the absorption phase of an oral profile. An in vivo data set is provided that favours a peripheral elimination explanation of its observed pharmacokinetics, based on the 'goodness of fit'.
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