基于模型的精确剂量定量,以快速达到度-时间曲线下的目标区域:模拟研究
Kazutaka Oda1,2, Tomoyuki Yamada3, Kazuaki Matsumoto4
1Department of Pharmacy, Kumamoto University Hospital, Kumamoto, Japan.
Clinical and translational science
|September 18, 2023
概括
有限的采样策略改善了范科米辛治疗药物监测. 第一天的低谷和高峰度提高了实现曲线下的面积 (AUC) 目标的速度,特别是AUC0-24和AUC24-48.
科学领域:
- 药理学 药理学 是一个学科.
- 临床药房 临床药房
- 计算生物学 计算生物学
背景情况:
- 达到治疗性万科米辛暴露,以度-时间曲线 (AUC) 下的面积来衡量,对于疗效和安全至关重要.
- 正在探索有限采样策略 (LSS),以优化万科米辛的剂量,特别是在治疗的早期阶段.
- 种群药动力学 (PopPK) 模型是预测药物暴露和指导精确剂量的必要工具.
研究的目的:
- 评估有限采样策略在实现治疗性万科米辛曲线下面面积 (AUC) 目标方面的有效性.
- 在治疗的第一天和第二天评估范科米辛采样的性能,以AUC0-24和AUC24-48.
- 为了确定稳定状态下AUC (AUCSS) 估计在功能不同患者中的可靠性.
主要方法:
- 一个虚拟人口1000个人的模拟使用验证的人口药理动力学 (PopPK) 模型.
- 用贝叶斯预测来计算实现治疗AUC范围 (0.8-1.2比率) 的概率.
- 还使用了另外六种PopPK模型来评估不同研究设计的研究结果的稳定性.
主要成果:
- 在第一天的两点范科米辛采样 (低谷和高峰) 显著增加了从51.3%到77.5%的AUC24-48的概率.
- 第一天采样也使得AUC0-24的概率从60.1%提高到86.1%.
- AUCSS预测准确性随着功能减弱而下降,这表明这些患者的表现不可靠.
结论:
- 限定的采样策略,特别是在万科米辛治疗的第一天,增加了实现目标AUC暴露的可能性.
- 第二天的低谷和高峰采样准确预测AUC24-48,而第一天的采样有助于快速实现治疗目标.
- AUCSS估计应谨慎处理,并重新评估由于不可靠的预测导致功能受损的患者.
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