Pavčnik Lara, Locatelli Igor, Trdan Lušin Tina, Roškar Robert
SANDOZ Development Center Slovenia, Lek Pharmaceuticals d.d., Verovškova 57, 1526 Ljubljana, Slovenia.
Department of Biopharmaceutics and Pharmacokinetics, Faculty of Pharmacy, University of Ljubljana, 1000 Ljubljana, Slovenia.
Pharmaceutics. 2024 Aug 24;16(9):1117. doi: 10.3390/pharmaceutics16091117.
This article highlights the applicability of matrixing designs in stability studies for parenteral medications. The traditional approach involves extensive testing over the product's shelf-life. However, matrixing designs offer an alternative approach where only a fraction of samples is tested at each time point. The study conducted in this article focused on three parenteral medications and examined stability data under long-term condition. Degradation products were identified as critical parameter, and kinetics of degradation varied among the selected products. A systematic methodology was adopted to evaluate the data using different matrixing designs. The regression models obtained were assessed using statistical parameters S and R. Also, each of the 28 matrixing designs were compared to the full design with statistical parameter RMSE and the shelf-life. The results confirmed that each of the evaluated matrixing designs can be applied, whether degradation product shows a linear or non-linear increase, and demonstrated that a reduction of two time points per batch is the most appropriate. In conclusion, this research contributes to the understanding of utilizing reduced matrixing designs in stability studies for parenteral medications and can be an effective strategy to reduce costs and time of stability testing while maintaining the necessary level of precision and reliability.
本文强调了矩阵设计在注射用药物稳定性研究中的适用性。传统方法涉及在产品保质期内进行广泛测试。然而,矩阵设计提供了一种替代方法,即在每个时间点仅测试一小部分样品。本文进行的研究聚焦于三种注射用药物,并考察了长期条件下的稳定性数据。降解产物被确定为关键参数,所选产品的降解动力学各不相同。采用了一种系统方法,使用不同的矩阵设计来评估数据。使用统计参数S和R对获得的回归模型进行评估。此外,将28种矩阵设计中的每一种与具有统计参数RMSE和保质期的全因子设计进行比较。结果证实,无论降解产物呈线性还是非线性增加,所评估的每种矩阵设计均可应用,并表明每批减少两个时间点是最合适的。总之,本研究有助于理解在注射用药物稳定性研究中使用简化矩阵设计,并且可以成为在保持必要精度和可靠性水平的同时降低稳定性测试成本和时间的有效策略。