在InsightRX®中预测人口药动力学模型的预测性能,用于Cefepime的基于模型的精确剂量
Christina König1,2, Joseph L Kuti1, Andrew J Fratoni1
1Center for Anti-Infective Research & Development, Hartford Hospital, Hartford, Connecticut, USA.
基于模型的精确剂量 (MIPD) 使用各种采样策略准确预测cefepime的药理动力学 (PK) 和药理动力学 (PD). 这支持MIPD.
科学领域:
- 药理学 药理学是指药理学的学科.
- 临床药房 临床药房
- 药学指标 (Pharmacometrics) 是一个指标.
背景情况:
- 基于模型的精确剂量 (MIPD) 对于优化抗菌药物治疗至关重要.
- 不同的药理动力学 (PK) 模型和采样策略可以影响药物度预测.
- 评估cefepime的PK预测准确性对于有效的治疗药物监测至关重要.
研究的目的:
- 评估两个人群PK模型对cefepime的预测性能.
- 在这些模型中比较不同的采样策略 (深度,中点,峰值).
- 评价MIPD适用于Cefepime治疗药物监测的适用性.
主要方法:
- 两个人群PK模型 (A和B) 与历史的Cefepime数据一起使用.
- 测试了四种采样场景:只有低谷,只有中点,低谷+中点,高峰+中点+低谷.
- 计算了预测误差 (MPE,MAPE) 对于清除 (CL) 和中央区 (Vc) 的体积,以及预测实现目标fT>MIC.
主要成果:
- 在所有采样场景中,这两种模型都显示了Cefepime清除 (CL) 的可接受预测错误.
- 中心区 (Vc) 预测的体积变化较高,特别是在体外支持下.
- 尽管有Vc的变化,但预测的目标药物暴露 (fT>MIC) 的实现在模型和采样策略中基本一致.
结论:
- 评估的群体PK模型和采样策略为cefepime提供了可靠的预测.
- MIPD 适用于 cefepime 治疗药物监测,支持在重症患者中优化剂量.
- 这些发现验证了MIPD的使用,以确保有效的塞费皮姆度.
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