用健康受试者和感染患者的数据对特拉万辛进行了群体药理动力学分析
Scott A Van Wart1, M Courtney Safir1, Sujata M Bhavnani1
1Institute for Clinical Pharmacodynamics, Schenectady, New York, USA.
一种抗生素特拉万辛的种群药动力学模型是使用来自1200多个个体的数据开发的. 该模型准确地描述了血和上皮层内膜液中的特拉万辛度,同时考虑了患者因素和血液透析.
科学领域:
- 药理学 药理学是指药理学的学科.
- 传染性疾病 传染性疾病
- 临床药房 临床药房
背景情况:
- 泰拉万是一种利波糖类抗生素,有效对抗格兰阳性病原体.
- 了解特拉万辛的药理动力学特征对于优化治疗至关重要.
- 以前的模型可能没有完全捕捉到药物暴露的变化.
研究的目的:
- 为了开发一个人群的药理动力学 (PK) 模型 telavancin.
- 描述特拉万辛在血和上皮层内膜液 (ELF) 中的时间过程.
- 为了确定影响特拉万辛药理学的患者共变量.
主要方法:
- 使用21项研究中的1,205名受试者的数据进行人口药理动力学建模.
- 采用了两部分的模型,其中包括静脉输入和线性排泄.
- 将肌素清除和血液透析纳入模型.
主要成果:
- 确定了体重,年龄和感染类型作为清除量和分布量的个人间变异的重要预测因素.
- 该模型准确预测了血和ELF中的特拉万辛度.
- 平均自由药物ELF透率被确定为73.0%.
结论:
- 开发的群体PK模型强烈地描述了德拉万辛在血和ELF中的时间过程.
- 该模型考虑了临床相关的共变量,包括血液透析.
- 提供对个体患者药物暴露的可靠估计.
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