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Research ArticleResearch

Use of a Predictive Regression Model for Estimating Hold-Up Volume for Biologic Drug Product Presentations

Shyam B. Mehta, Srishty Subramanian, Rebecca Brown, Rowena D'Mello, Charlene Brisbane and Shouvik Roy
PDA Journal of Pharmaceutical Science and Technology May 2020, 74 (3) 290-300; DOI: https://doi.org/10.5731/pdajpst.2019.010728
Shyam B. Mehta
Teva Biopharmaceuticals, West Chester, PA, USA
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Srishty Subramanian
Teva Biopharmaceuticals, West Chester, PA, USA
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Rebecca Brown
Teva Biopharmaceuticals, West Chester, PA, USA
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Rowena D'Mello
Teva Biopharmaceuticals, West Chester, PA, USA
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Charlene Brisbane
Teva Biopharmaceuticals, West Chester, PA, USA
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Shouvik Roy
Teva Biopharmaceuticals, West Chester, PA, USA
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  • For correspondence: shouvik.roy02@tevapharm.com
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Abstract

A drug delivery system is designed to administer a therapeutic dose according to its label claim. Upon delivery of a parenteral drug product, the volume remaining inside the container that cannot be extracted at the end of drug administration is called the hold-up volume (HUV) and is primarily considered product wastage. To meet the label claim, every drug product container is filled with a slight excess volume. For early-stage products in clinical phase, for which material availability is often a limitation, excess volume in drug product containers has to be determined experimentally using several grams of product. In such scenarios, established models that can predict HUV in primary drug product containers would be valuable for product development. The objective of this study was to determine HUV with 95% confidence intervals across various container closures and drug delivery systems by using aqueous PEG 400 solution mimicking the viscosity of biologic drug products. ISO 2R, 6R, and 10R vials and single-use hypodermic syringes attached to a Luer lock needle (25 gauge, 1½ in.) were used to mimic parenteral drug product container and delivery systems for determination of HUV. Glass prefilled syringes in 1 mL and 2.25 mL configurations were also used to determine HUV with 95% confidence intervals. A linear regression model was developed for determination of HUV as a function of viscosity and as a function of container closure and a needle-based delivery system. This model predicting HUV was confirmed by using monoclonal antibodies of varying formulations and viscosities for container closure and delivery systems tested in this study. The model provided here can be used to determine HUV for a particular container closure for a drug solution with known viscosity that can subsequently be used to evaluate fill volume specifications and label claim for a dosage form.

  • Container closure system
  • Biologic drug product
  • Hold-up volume
  • Fill volume specification
  • Label claim
  • Dosage form
  • Drug delivery system
  • Vials
  • Prefilled syringe
  • © PDA, Inc. 2020
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PDA Journal of Pharmaceutical Science and Technology: 74 (3)
PDA Journal of Pharmaceutical Science and Technology
Vol. 74, Issue 3
May/June 2020
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Use of a Predictive Regression Model for Estimating Hold-Up Volume for Biologic Drug Product Presentations
Shyam B. Mehta, Srishty Subramanian, Rebecca Brown, Rowena D'Mello, Charlene Brisbane, Shouvik Roy
PDA Journal of Pharmaceutical Science and Technology May 2020, 74 (3) 290-300; DOI: 10.5731/pdajpst.2019.010728

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Use of a Predictive Regression Model for Estimating Hold-Up Volume for Biologic Drug Product Presentations
Shyam B. Mehta, Srishty Subramanian, Rebecca Brown, Rowena D'Mello, Charlene Brisbane, Shouvik Roy
PDA Journal of Pharmaceutical Science and Technology May 2020, 74 (3) 290-300; DOI: 10.5731/pdajpst.2019.010728
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Keywords

  • Container closure system
  • Biologic drug product
  • Hold-Up Volume
  • Fill volume specification
  • Label claim
  • Dosage form
  • Drug delivery system
  • Vials
  • prefilled syringe

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