Literature DB >> 7891273

Sensitivity of indirect metrics for assessing "rate" in bioequivalence studies--moving the "goalposts" or changing the "game".

A Rostami-Hodjegan1, P R Jackson, G T Tucker.   

Abstract

The requirement to assess "rate" in bioequivalence tests using indirect metrics reinforces ambiguities as to whether such testing is intended to assure both pharmaceutical quality with respect to drug release characteristics as well as clinical safety and efficacy. Using a one-compartment open pharmacokinetic model with first-order absorption and error-free data, the effects of systematically changing the ratio of the absorption rate constants of test and reference formulations on various indirect metrics of rate of drug absorption [maximum plasma concentration (Cmax), time to reach Cmax (tmax), mean residence time (MRT), partial area under the plasma concentration-time curve (AUC(t))] were evaluated as a function of the ratio of absorption rate constant to elimination rate constant. This simple simulation illustrates the pitfall of judging the performance of different indirect rate metrics on the basis of a fixed universal acceptance interval for bioequivalence. However, turning the issue on its head, since rate, as indicated by a rate constant, cannot be assessed accurately using indirect metrics and may have little clinical relevance, regulatory guidelines should emphasize the use of Cmax and other measures taken from the plasma drug concentration-time curve as empirical indices of safety and efficacy. The acceptance limits should then depend on clinical criteria and the variability of the reference formulation.

Mesh:

Year:  1994        PMID: 7891273     DOI: 10.1002/jps.2600831107

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  15 in total

1.  Where are we now and where do we go next in terms of the scientific basis for regulation on bioavailability and bioequivalence? FDA Biopharmaceutics Coordinating Committee.

Authors:  R L Williams; W Adams; M L Chen; D Hare; A Hussain; L Lesko; R Patnaik; V Shah
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2000 Jan-Mar       Impact factor: 2.441

2.  Sensitivity of empirical metrics of rate of absorption in bioequivalence studies.

Authors:  A Ring; L Tothfalusi; L Endrenyi; M Weiss
Journal:  Pharm Res       Date:  2000-05       Impact factor: 4.200

3.  Novel direct curve comparison metrics for bioequivalence.

Authors:  J E Polli; A M McLean
Journal:  Pharm Res       Date:  2001-06       Impact factor: 4.200

Review 4.  Measures of exposure versus measures of rate and extent of absorption.

Authors:  M L Chen; L Lesko; R L Williams
Journal:  Clin Pharmacokinet       Date:  2001       Impact factor: 6.447

5.  Urinary excretion: does it accurately reflect relative differences in bioavailability/systemic exposure when renal clearance is nonlinear?

Authors:  Gary A Thompson; Roger D Toothaker
Journal:  Pharm Res       Date:  2004-05       Impact factor: 4.200

6.  When is a metric not a metric? Remarks on direct curve comparison in bioequivalence studies.

Authors:  Wojciech Jawień
Journal:  J Pharmacokinet Pharmacodyn       Date:  2009-06-21       Impact factor: 2.745

Review 7.  Using partial area for evaluation of bioavailability and bioequivalence.

Authors:  Mei-Ling Chen; Barbara Davit; Robert Lionberger; Zakaria Wahba; Hae-Young Ahn; Lawrence X Yu
Journal:  Pharm Res       Date:  2011-04-13       Impact factor: 4.200

8.  Absorption rate vs. exposure: which is more useful for bioequivalence testing?

Authors:  T N Tozer; F Y Bois; W W Hauck; M L Chen; R L Williams
Journal:  Pharm Res       Date:  1996-03       Impact factor: 4.200

9.  Evaluation of direct curve comparison metrics applied to pharmacokinetic profiles and relative bioavailability and bioequivalence.

Authors:  S A Marston; J E Polli
Journal:  Pharm Res       Date:  1997-10       Impact factor: 4.200

10.  Metrics comparing simulated early concentration profiles for the determination of bioequivalence.

Authors:  L Endrenyi; F Csizmadia; L Tothfalusi; M L Chen
Journal:  Pharm Res       Date:  1998-08       Impact factor: 4.200

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