基于间歇性输注的种群药动力学模型可以准确地预测接收连续输注的儿童的美罗胺度吗?
Lucy Cheng1,2, Suchita Kumar3, Pier Giorgio Cojutti4,5
1Division of Translational and Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
British journal of clinical pharmacology
|November 23, 2025
概括
梅罗的群体药动力学 (PopPK) 模型有效地预测了在接受连续输液的重症儿童中药物度. 这种经过验证的模型支持小儿重症监护病房患者的精确剂量策略.
科学领域:
- 药理学 药理学是指药理学的学科.
- 儿科重症监护 儿科重症监护
- 药理动力学 药理动力学
背景情况:
- 在接受间歇性输液的儿科重症监护室 (PICU) 患者中建立了梅罗的群体药动力学 (PopPK) 模型.
- 持续输液梅罗胺剂量越来越多地用于重症儿童,需要验证的剂量模型.
研究的目的:
- 评估先前开发的美罗胺PopPK模型在接受连续输液的儿科患者中的预测性表现.
- 评估模型在这个独特的患者群体中估计稳定状态美罗胺度的能力.
主要方法:
- 对57名儿科患者 (163个样本) 的数据进行了回顾性分析,这些患者接受了连续输注梅罗.
- 使用中位预测误差 (MDPE) 和中位绝对预测误差 (MDAPE) 对人口和个体预测的偏差和精度的评估.
主要成果:
- 人口预测显示MDPE为17.0%和MDAPE为33.4%.
- 个体预测显示4.4%的MDPE和19.6%的MDAPE,基本上符合可接受偏差 (<20%) 和精度 (<30%) 的标准.
- 该模型对人口和个人美罗胺度均表现出良好的预测性能.
结论:
- 梅罗烯姆PopPK模型证明了可靠的预测性能持续输液在重症儿科患者.
- 这种模型可以为儿科重症监护中的初始美罗胺剂量策略提供信息.
- 经过验证的PopPK模型支持基于模型的精确剂量定量,用于重症儿童的持续美罗胺治疗.
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