Pharmacy and Pharmaceutical Technology Area, University of Valencia, Spain.
División de Farmacología y Evaluación Clínica, Departamento de Medicamentos de Uso Humano, Agencia Española de Medicamentos y Productos Sanitarios, Spain.
Eur J Pharm Sci. 2018 Jul 1;119:200-207. doi: 10.1016/j.ejps.2018.04.025. Epub 2018 Apr 20.
Regulatory guidelines recommend that, when a level A IVIVC is established, dissolution specification should be established using averaged data and the maximum difference between AUC and C between the reference and test formulations cannot be greater than 20%. However, averaging data assumes a loss of information and may reflect a bias in the results. The objective of the current work is to present a new approach to establish dissolution specifications using a new methodology (individual approach) instead of average data (classical approach). Different scenarios were established based on the relationship between in vitro-in vivo dissolution rate coefficient using a level A IVIVC of a controlled release formulation. Then, in order to compare this new approach with the classical one, six additional batches were simulated. For each batch, 1000 simulations of a dissolution assay were run. C ratios between the reference formulation and each batch were calculated showing that the individual approach was more sensitive and able to detect differences between the reference and the batch formulation compared to the classical approach. Additionally, the new methodology displays wider dissolution specification limits than the classical approach, ensuring that any tablet from the new batch would generate in vivo profiles which its AUC or C ratio will be out of the 0.8-1.25 range, taking into account the in vitro and in vivo variability of the new batches developed.
监管指南建议,当建立了 A 级 IVIVC 时,应使用平均数据建立溶出度规范,并且参考制剂和测试制剂之间的 AUC 和 C 之间的最大差异不得超过 20%。然而,平均数据假设信息丢失,并且可能反映结果存在偏差。目前工作的目的是提出一种使用新方法(个体方法)而不是平均数据(经典方法)建立溶出度规范的新方法。基于使用控释制剂的 A 级 IVIVC 的体外-体内溶解速率系数之间的关系,建立了不同的情况。然后,为了将这种新方法与经典方法进行比较,模拟了另外六个批次。对于每个批次,运行了 1000 次溶出度测定的模拟。计算了参考制剂与每个批次之间的 C 比值,结果表明,与经典方法相比,个体方法更敏感,能够检测到参考制剂和批次制剂之间的差异。此外,新方法显示出比经典方法更宽的溶出度规范限制,确保任何新批次的片剂在体内产生的 AUC 或 C 比值都在 0.8-1.25 范围内,同时考虑到新批次的体外和体内变异性。