对前稳定状态与稳定状态度的万科米辛贝叶斯模型进行回顾性内部分析
Elizabeth W Covington1, Jihyun L Chae1, Sarah Grace Gunter2
1Harrison College of Pharmacy, Auburn University, Auburn, AL, USA.
概括
贝叶斯模型准确地估计了使用稳定状态前度的万科米辛24小时曲线下的面积 (AUC24). 使用稳定状态度的计算显示出轻微偏差,但总体一致,在使用稳定状态前水平时,类别不匹配较少.
科学领域:
- 药理动力学和药理动力学
- 临床药房
- 计算模型
背景情况:
- 使用贝叶斯模型估计米素24小时曲线下的面积 (AUC24),使用稳定状态前度.
- 在有限的研究中,比较了从稳定状态和前稳定状态度中得出的贝叶斯 AUC24 计算.
研究的目的:
- 评估使用贝叶斯模型从稳定状态前度与稳定状态度得出的万科米辛AUC24计算之间的一致性.
- 根据不同度采样时间,比较范素AUC24估计的准确性和可靠性.
主要方法:
- 对93名患者进行前稳定状态和稳定状态度的回顾性队列研究.
- 贝叶斯AUC24的计算包括和不包括稳定状态水平.
- 使用布兰德-阿尔特曼图和线性回归进行偏差分析.
主要成果:
- 当稳定状态水平被隐藏时,AUC24估计值的平均差异为8. 8 mg*h/ L,而稳定状态前水平被隐藏时为-3. 7 mg*h/ L.
- 当稳定状态水平被隐藏时观察到比例偏差 (P = 0. 038),但当前稳定状态水平被隐藏时没有.
- 当稳定状态水平被隐藏时 (26%) 的类别不匹配率明显高于稳定状态前水平被隐藏时 (8%,P < 0.001).
结论:
- 不管是否包括稳定状态度,贝叶斯的范素AUC24计算表明总体一致.
- 虽然有小的平均差异,但在贝叶斯计算中使用稳定状态水平导致了更严格的协议限制.
- 需要对更大群体进行进一步的研究,以证实关于万科米辛AUC24估计的这些发现.
相关概念视频
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