Naversnik Klemen, Bohanec Simona
Lek Pharmaceuticals d.d., Sandoz Development Center Ljubljana, Verovskova 57, SI-1000 Ljubljana, Slovenia.
Eur J Pharm Sci. 2008 Dec 18;35(5):447-56. doi: 10.1016/j.ejps.2008.09.007. Epub 2008 Oct 1.
An attempt was made to predict the stability of a moisture sensitive drug product based on the knowledge of the dependence of the degradation rate on tablet moisture. The moisture increase inside a HDPE bottle with the drug formulation was simulated with the sorption-desorption moisture transfer model, which, in turn, allowed an accurate prediction of the drug degradation kinetics. The stability prediction, obtained by computer simulation, was made in a considerably shorter time frame and required little resources compared to a conventional stability study. The prediction was finally upgraded to a stochastic Monte Carlo simulation, which allowed quantitative incorporation of uncertainty, stemming from various sources. The resulting distribution of the outcome of interest (amount of degradation product at expiry) is a comprehensive way of communicating the result along with its uncertainty, superior to single-value results or confidence intervals.
基于降解速率对片剂水分的依赖性知识,尝试预测对湿度敏感的药品稳定性。使用吸附 - 解吸水分传递模型模拟了装有药物制剂的高密度聚乙烯(HDPE)瓶内的水分增加情况,进而能够准确预测药物降解动力学。与传统稳定性研究相比,通过计算机模拟获得的稳定性预测在更短的时间内完成,且所需资源很少。该预测最终升级为随机蒙特卡罗模拟,它能够定量纳入来自各种来源的不确定性。由此得到的感兴趣结果(有效期时降解产物的量)的分布是一种传达结果及其不确定性的综合方式,优于单值结果或置信区间。