Comparison of Drug Dissolution Profiles: A Proposal Based on Tolerance Limits

Details

• Personal Author:
  Huang Y ; Mathew T ; Zhai S
• Description:
  Meaningful comparison of the dissolution profiles between the reference and test formulations of a drug is critical for assessing similarity between the two formulations, and for quality control purposes. Such a dissolution profile comparison is required by regulatory authorities, and the criteria used for this include the widely used difference factor f1 and a similarity factor f2, recommended by the Food and Drug Administration . In spite of their extensive use in practice, the two factors have been heavily criticized on various grounds; the criticisms include ignoring sampling variability and ignoring the correlations across time points while using the criteria in practice. The goal of this article is to put f1 and f2 on a firm statistical footing by developing tolerance limits for the distributions of f1 and f2, so that both the sampling variability and the correlations over time points are taken into account. Because f1 and f2 are defined in terms of sample mean dissolution profiles, they are not appropriate for comparing individual dissolution profiles. For the latter, we have considered similar criteria and have derived tolerance limits. Both parametric and nonparametric approaches are explored, and a bootstrap calibration is used to improve accuracy of the tolerance limits. Simulated coverage probabilities show that the method leads to accurate tolerance limits. Two examples are used to illustrate the methodology. [Description provided by NIOSH]
• Subjects:
  Drug Therapy Laboratories Occupational Health Safety
• Keywords:
  Author Keywords: Bootstrap Calibration Difference Factor Dissolution Testing Drugs Drug Therapy Laboratory Techniques Order Statistics Parametric Bootstrap Similarity Factor Statistical Analysis
• ISSN:
  0277-6715
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article
• Place as Subject:
  Maryland ; OSHA Region 3
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  35
• Issue:
  29
• NIOSHTIC Number:
  nn:20054468
• Citation:
  Stat Med 2016 Dec; 35(29):5464-5476
• Contact Point Address:
  Thomas Mathew, Department of Mathematics and Statistics, University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250, U.S.A.
• Email:
  mathew@umbc.edu
• Federal Fiscal Year:
  2017
• Performing Organization:
  University of Maryland, Baltimore
• Peer Reviewed:
  True
• Start Date:
  20000501
• Source Full Name:
  Statistics in Medicine
• End Date:
  20150831
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:138fe524773d69f33b5442493cbc13328331e1bc14e892a6084ed849dff54f2a7b0ff1ebe04dd8765c41a3b8d166b9fbf801694dfee045495fece5ce1498b1b3
• Download URL:
  https://stacks.cdc.gov/view/cdc/217028/cdc_217028_DS1.pdf
• File Type:
  [PDF - 197.50 KB ]