Lhasa Limited shared knowledge shared progress
Publications

An Elemental Impurities Excipient Database: A Viable Tool for ICH Q3D Drug Product Risk Assessment

Marchant CA; Boetzel R; Ceszlak A; Day C; Drumm P; Gil Bejar J; Glennon J; Thompson S; Wilkinson D; Rockstroh H; Rutter L; Schweitzer M; Shannon E; Smallshaw L; Teasdale A; Lee CW; Lewen N; Maris FA; Nye WE; Powell S; Harris L; Heghes C; Horga R; Jacobs PL; Keurentjes WJTM; King F;

Abstract: 

To support the practical implementation of the ICH Q3D guideline, which describes a risk-based approach to the control of elemental impurities in drug products, a consortium of pharmaceutical companies has established a database to collate the results of analytical studies of the levels of elemental impurities within pharmaceutical excipients.

This database currently includes the results of 26723 elemental determinations for 201 excipients and represents the largest known, and still rapidly expanding, collection of data of this type. Analysis of the database indicates good coverage of excipients relevant to real-world drug product formulations and tested element profiles consistent with ICH Q3D recommendations. The database includes the results from multiple analytical studies for an excipient and thus incorporates within it an indication of both excipient supplier and batch-to-batch variability as well as any variability associated with the different testing organisations and methods employed.

The data confirm the findings of earlier smaller studies that elemental impurity concentrations in excipients are generally low and when used in typical proportions in formulated drug products are unlikely to pose a significant patient safety risk. The database is now in active use as one line of evidence in ICH Q3D risk assessments.

Download

© 2019 Lhasa Limited | Registered office: Granary Wharf House, 2 Canal Wharf, Leeds, LS11 5PS, UK Tel: +44 (0)113 394 6020
VAT number 396 8737 77 | Lhasa Limited is registered as a charity (290866)| Company Registration Number 01765239 (England and Wales).

Thanks to QuestionPro's generosity, we now have survey software that powers our data intelligence.