使用第一剂后估计的AUC优化polymyxin B剂量的三种方法:与蒙特卡洛模拟生成的数据进行验证
Qingxia Liu1,2, Jianxing Zhou1,2, You Zheng1,2
1School of Pharmacy, Fujian Medical University, Fuzhou, China.
三种方法用有限的第一剂量度来估计稳定状态下曲线下的polymyxin B面积 (AUC). 这些方法,特别是四点方法,为优化多素B剂量方案提供了准确的估计.
科学领域:
- 药理动力学和药理动力学
- 临床药理学 临床药理学
- 药物剂量优化 药物剂量优化
背景情况:
- 聚米辛B的剂量需要精确的治疗药物监测.
- 从有限的数据中估计稳定状态AUC (AUC_SS,24h) 从临床上是相关的.
- 现有的AUC估计方法在稀疏采样时可能缺乏准确性.
研究的目的:
- 开发和验证用于估计多素BAUC_SS,24h的方法,使用有限的第一剂后度.
- 为了比较两点,三点和四点PK方法的准确性.
- 评估这些方法在正常和功能受损的患者中的有用性.
主要方法:
- 蒙特卡洛模拟使用1000名虚拟患者的人口PK模型.
- 通过两点,三点和四点PK方法估计AUC_SS,24h.
- 估计AUC与用线性形公式计算的AUC进行比较.
主要成果:
- 四点PK方法显示了最低的平均偏差 (-0.48%在正常功能中, -0.28%在功能障碍中).
- 两点方法显示了最高的平均偏差 (分别为-8.73%和-11.15%).
- 与其他方法相比,采样时间的变化对四点方法的准确性影响很小.
结论:
- 提出的三种方法,特别是四点方法,可以准确估计多素B AUC_SS,24h.
- 基于这些方法的Excel计算器可以帮助优化polymyxin B剂量.
- 准确的AUC估计支持治疗药物监测和改善患者的治疗结果.
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