Literature DB >> 9725474

Average parameters as a trend to reduce the residual variability in bioequivalence trials.

P Fagiolino1, M Vazquez.   

Abstract

Bioavailability and bioequivalence evaluations of drug products carried out using the experimental maximum concentration (Cmax) and the experimental time to reach Cmax (Tmax), are not advisable for slow-release formulations and for trials performed with saliva as biologic fluid. When slow-release curves are considered the drug concentration profiles usually show multiple peaks, making it difficult to compute a Cmax,Tmax value. The saliva profile throughout time shows a high variability observed as more than one peak in the saliva concentration versus time curves. In both cases, even if there is a major peak, when the statistical analysis of the data is performed, an important variability in Cmax results in high values in the residual variance of the ANOVA test. Consequently, the power of the bioequivalence test decreases and sometimes it is not possible to conclude on bioequivalence. The average concentration (Cav), the average maximum concentration (Cmax,av) and Cmax,av/Cav x 100 (%Cmax,av) are proposed in this paper as possible parameters in order to evaluate the profile of the concentration-time curves, as they reduce the residual variability in bioequivalence studies.

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Year:  1998        PMID: 9725474     DOI: 10.1007/BF03189332

Source DB:  PubMed          Journal:  Eur J Drug Metab Pharmacokinet        ISSN: 0378-7966            Impact factor:   2.441


  6 in total

Review 1.  Pharmacokinetic characterization of controlled-release formulations.

Authors:  V W Steinijans
Journal:  Eur J Drug Metab Pharmacokinet       Date:  1990 Apr-Jun       Impact factor: 2.441

2.  Digoxin concentrations in serum and saliva: relationship to ECG changes and dosage in healthy volunteers.

Authors:  P H Joubert; B N Aucamp; F O Müller
Journal:  Br J Clin Pharmacol       Date:  1976-12       Impact factor: 4.335

3.  Bioequivalence: performance of several measures of rate of absorption.

Authors:  F Y Bois; T N Tozer; W W Hauck; M L Chen; R Patnaik; R L Williams
Journal:  Pharm Res       Date:  1994-07       Impact factor: 4.200

4.  Without extrapolation, Cmax/AUC is an effective metric in investigations of bioequivalence.

Authors:  L Tothfalusi; L Endrenyi
Journal:  Pharm Res       Date:  1995-06       Impact factor: 4.200

5.  Bayesian approach to bioequivalence assessment: an example.

Authors:  H Fluehler; A P Grieve; D Mandallaz; J Mau; H A Moser
Journal:  J Pharm Sci       Date:  1983-10       Impact factor: 3.534

6.  Saliva-plasma drug concentration ratios during absorption: theoretical considerations and pharmacokinetic implications.

Authors:  J Posti
Journal:  Pharm Acta Helv       Date:  1982
  6 in total

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