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Comparison of permitted daily exposure (PDE) values for active pharmaceutical ingredients (APIs) - Evidence of a robust approach.

Authors :
Sehner, Claudia
Bernier, Tanja
Blum, Kamila
Clemann, Nicole
Glogovac, Milica
Hawkins, William A.
Kohan, Martin
Linker, Fenneke
Lovsin-Barle, Ester
Osadolor, Osahon
Pfister, Thomas
Schulze, Elisa
Schwind, Markus
Tuschl, Gregor
Wiesner, Lisa
Source :
Regulatory Toxicology & Pharmacology: RTP. Jun2024, Vol. 150, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

Permitted Daily Exposure Limits (PDEs) are set for Active Pharmaceutical Ingredients (APIs) to control cross-contamination when manufacturing medicinal products in shared facilities. With the lack of official PDE lists for pharmaceuticals, PDEs have to be set by each company separately. Although general rules and guidelines for the setting of PDEs exist, inter-company variations in the setting of PDEs occur and are considered acceptable within a certain range. To evaluate the robustness of the PDE approach between different pharmaceutical companies, data on PDE setting of five marketed APIs (amlodipine, hydrochlorothiazide, metformin, morphine, and omeprazole) were collected and compared. Findings show that the variability between PDE values is within acceptable ranges (below 10-fold) for all compounds, with the highest difference for morphine due to different Point of Departures (PODs) and Adjustment Factors (AFs). Factors of PDE variability identified and further discussed are: (1) availability of data, (2) selection of POD, (3) assignment of AFs, (4) route-to-route extrapolation, and (5) expert judgement and differences in company policies. We conclude that the investigated PDE methods and calculations are robust and scientifically defensible. Additionally, we provide further recommendations to harmonize PDE calculation approaches across the pharmaceutical industry. [Display omitted] • Study compares PDE values for five APIs among companies. • POD and AF selection impact PDE variability up to 10-fold. • Morphine shows highest PDE difference due to diverse data. • PDE calculation methods evaluated show robustness and defensibility. • Recommendations are presented for harmonizing PDE calculation approaches. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02732300
Volume :
150
Database :
Academic Search Index
Journal :
Regulatory Toxicology & Pharmacology: RTP
Publication Type :
Academic Journal
Accession number :
177751490
Full Text :
https://doi.org/10.1016/j.yrtph.2024.105649