Literature DB >> 9523315

Why rate of absorption inferences in single dose bioequivalence studies are often inappropriate.

R P Basson1, A Ghosh, B J Cerimele, K A DeSante, D C Howey.   

Abstract

PURPOSE: Peak drug concentration (Cmax) measures the extremity of drug exposure and is a secondary indicator of the extent of absorption after area under the concentration time curve (AUC). Cmax serves as the indicator of absorption rate in bioequivalence (BE) studies in the US (1). The use of Cmax, not the time to Cmax (Tmax), as the metric to assess absorption rate causes erratic inferences in BE studies, and incorrect conclusions for some. We can improve BE efficiency (i.e., get the answer right the first time), by properly analyzing the time to Cmax (Tmax) instead of Cmax.
METHODS: We have previously redirected attention to Tmax as the unconfounded absorption rate variable, instead of Cmax, and have called for equally spaced sampling times during the suspected absorption phase to improve the performance of the rate metric (2). Equal spacing converts Tmax easily into a count variable and we illustrated an appropriate statistical analysis for counts. This paper provides some measurement theory concepts to help judge which is the more appropriate analysis, and also provides parametric confidence limits for Tmax treatment differences. Three separate BE studies are then analyzed by both methods.
RESULTS: By focusing on the differences in conclusions, or inferences, this paper identifies three major issues with the current FDA "recommended" analysis of BE studies. First, Cmax, a continuous variable peak-height or extent measure has usurped Tmax's function and performs erratically as a substitute measure for the rate of absorption. Second, Tmax, should be analyzed as a discrete attribute, not as a continuous variable. Third, since several extent measures (AUC, Cmax), not one, are actually being analyzed, an adjustment for multiple testing is mandatory if we are to maintain the size of the test at the desired alpha level (13), and not inadvertently use a narrower bioequivalence window than is intended. These actions all can have serious unintended consequences on inferences, including making inappropriate ones.

Mesh:

Year:  1998        PMID: 9523315     DOI: 10.1023/a:1011974803996

Source DB:  PubMed          Journal:  Pharm Res        ISSN: 0724-8741            Impact factor:   4.200


  3 in total

1.  Bioequivalence studies: single vs multiple dose.

Authors:  V W Steinijans; R Sauter; J H Jonkman; H U Schulz; H Stricker; H Blume
Journal:  Int J Clin Pharmacol Ther Toxicol       Date:  1992

2.  Tmax: an unconfounded metric for rate of absorption in single dose bioequivalence studies.

Authors:  R P Basson; B J Cerimele; K A DeSante; D C Howey
Journal:  Pharm Res       Date:  1996-02       Impact factor: 4.200

3.  A comparison of the two one-sided tests procedure and the power approach for assessing the equivalence of average bioavailability.

Authors:  D J Schuirmann
Journal:  J Pharmacokinet Biopharm       Date:  1987-12
  3 in total
  4 in total

1.  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

2.  Novel direct curve comparison metrics for bioequivalence.

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

3.  Estimation of Cmax and Tmax in populations after single and multiple drug administrations.

Authors:  Laszlo Tothfalusi; Laszlo Endrenyi
Journal:  J Pharmacokinet Pharmacodyn       Date:  2003-10       Impact factor: 2.745

4.  Comparison of two recombinant erythropoietin formulations in patients with anemia due to end-stage renal disease on hemodialysis: a parallel, randomized, double blind study.

Authors:  Jorge F Pérez-Oliva; Martha Casanova-González; Idrian García-García; Pedro J Porrero-Martín; Carmen M Valenzuela-Silva; Tairí Hernández-Montero; Marcia Lagarde-Ampudia; Yuri Casanova-Kutsareva; Yisel Avila-Albuerne; Alicia Vargas-Batista; Hailen Bobillo-López; Raúl Herrera-Valdés; Pedro A López-Saura
Journal:  BMC Nephrol       Date:  2005-05-23       Impact factor: 2.388

  4 in total

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