Darrington Richard T, Jiao Jim
Pharmaceutical Research and Development, Pfizer Global Research and Development, Pfizer Inc. Groton, Connecticut 06340, USA.
J Pharm Sci. 2004 Apr;93(4):838-46. doi: 10.1002/jps.20006.
Rapid and accurate stability prediction is essential to pharmaceutical formulation development. Commonly used stability prediction methods include monitoring parent drug loss at intended storage conditions or initial rate determination of degradants under accelerated conditions. Monitoring parent drug loss at the intended storage condition does not provide a rapid and accurate stability assessment because often <0.5% drug loss is all that can be observed in a realistic time frame, while the accelerated initial rate method in conjunction with extrapolation of rate constants using the Arrhenius or Eyring equations often introduces large errors in shelf-life prediction. In this study, the shelf life prediction of a model pharmaceutical preparation utilizing sensitive high-performance liquid chromatography-mass spectrometry (LC/MS) to directly quantitate degradant formation rates at the intended storage condition is proposed. This method was compared to traditional shelf life prediction approaches in terms of time required to predict shelf life and associated error in shelf life estimation. Results demonstrated that the proposed LC/MS method using initial rates analysis provided significantly improved confidence intervals for the predicted shelf life and required less overall time and effort to obtain the stability estimation compared to the other methods evaluated.
快速准确的稳定性预测对于药物制剂开发至关重要。常用的稳定性预测方法包括在预期储存条件下监测母体药物损失或在加速条件下测定降解产物的初始速率。在预期储存条件下监测母体药物损失并不能提供快速准确的稳定性评估,因为在实际时间范围内通常只能观察到<0.5%的药物损失,而加速初始速率法结合使用阿伦尼乌斯或艾林方程外推速率常数,在保质期预测中往往会引入较大误差。在本研究中,提出了一种利用灵敏的高效液相色谱 - 质谱联用仪(LC/MS)直接定量在预期储存条件下降解产物形成速率的模型药物制剂的保质期预测方法。将该方法与传统保质期预测方法在预测保质期所需时间和保质期估计相关误差方面进行了比较。结果表明,与其他评估方法相比,所提出的使用初始速率分析的LC/MS方法为预测的保质期提供了显著改善的置信区间,并且获得稳定性估计所需的总体时间和精力更少。