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Prediction of steady state bioequivalence relationships using single dose data II-nonlinear kinetics

✍ Scribed by André J. Jackson


Publisher
John Wiley and Sons
Year
1989
Tongue
English
Weight
744 KB
Volume
10
Category
Article
ISSN
0142-2782

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✦ Synopsis


Two nonlinear pharmacokinetic models were simulated to investigate the relationship between single and multiple dose bioequivalency parameters for drugs such as phenytoin and propranolol which exhibit either saturable elimination kinetics or a capacity limited first pass effect. Mean T,,,, C, , , and area under the plasma-concentration time curve values from 0 to infinity (AUC o--) were compared after a single and multiple dose(s) of a test or reference drug. The aim was to determine if there were systematic changes in the limits of the single dose confidence interval at steady state that would limit the usefulness of confidence intervals following a single dose in accurately predicting bioavailability following multiple dosing.

The 90 per cent confidence interval expressed as a percentage of the reference mean for T,,,, C,,,, and AUC o -~ showed model dependent changes from single to multiple dosing in response to the level of data error and changes in absorption. Changes in clearance also seemed to have a marked effect on the observed limits of the single and multiple dose confidence intervals especially for C,,, which showed a characteristic change in the intervals as a function of the clearance ratio. The model used to describe phenytoin had confidence intervals for C, , , and AUC wm from single to multiple dosing that were similar to that seen for the experimental data. However, the model predictions for T,,, confidence intervals following single and mutliple dosing was at variance with the experimental data for formulations A and B.


📜 SIMILAR VOLUMES


Prediction of steady-state bioequivalenc
✍ André J. Jackson 📂 Article 📅 1987 🏛 John Wiley and Sons 🌐 English ⚖ 693 KB

Simulated data using a linear one-and two-compartment body model with different absorption characteristics were used to evaluate the ability of single dose bioavailability data to predict the relationships that exist at steady state. This was done by comparing the confidence intervals obtained from