开发参数和非参数模型以实现基于模型的精确剂量:为肥胖患者改善万科米辛的质量努力
Maria-Stephanie A Hughes1, Jasmine H Hughes1, Jeffrey Endicott2
1InsightRX, San Francisco, California; and.
Therapeutic drug monitoring
|May 17, 2024
概括
在3级肥胖症中使用万科米剂量的参数和非参数模型显示了类似的结构. 然而,参数模型在外部验证中表现出优异的表现,这表明特定机构的模型可以改善万科米的药理动力学管理.
科学领域:
- 药理动力学和药理动力学
- 计算生物学 计算生物学
- 药物剂量策略 药物剂量策略
背景情况:
- 基于模型的精确剂量 (MIPD) 使用统计方法优化药物治疗.
- 对MIPD提出了参数和非参数方法,但它们的比较性能尚不清楚.
- 在3级肥胖症中,万科米辛的药理动力学对准确的剂量提出了独特的挑战.
研究的目的:
- 为了比较参数和非参数统计方法,开发万科米的药理动力学模型.
- 在3级肥胖子群中评估两种建模方法的精度和偏差.
- 用外部验证数据评估开发的参数模型的性能.
主要方法:
- 从83名BMI≥40kg/m2的患者中回顾分析了万科米辛水平.
- 开发参数 (nlmixr2/NONMEM) 和非参数 (Pmetrics) 模型.
- 使用规范化根平均平方误差 (nRMSE) 和平均百分比误差 (MPE) 的先验和后期预测的评估.
- 在单独的数据集上对参数模型进行外部验证.
主要成果:
- 这两种模型都是双分区的,包括肌素清除率和无脂肪质量作为共变量.
- 先验预测显示模型之间的MPE和nRMSE的差异很小.
- 后期预测表明,这两种模型的精度提高,偏差减少,参数模型的性能略有改善.
- 参数模型在外部验证中表现优于之前的模型.
结论:
- 参数和非参数模型在3类肥胖症中表现出类似的结构和预测错误.
- 参数模型在外部验证中的卓越性能表明它对于机构特定的万科米剂量有用.
- 机构特定的药理动力学模型可能会改善肥胖人口中的万科米辛管理.
相关概念视频
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