用药量测量增强的贝叶斯借款用于儿科外推 - - DINAMO试验的案例研究
Martin Oliver Sailer1, Dietmar Neubacher2, Curtis Johnston3
1Global Biostatistics & Data Sciences, Boehringer Ingelheim Pharma GmbH & Co. KG, Birkendorfer Strasse 65, 88397, Biberach, Germany. martin_oliver.sailer@boehringer-ingelheim.com.
药量测量增强贝叶斯借款 (PEBB) 在儿科糖尿病试验中提高了统计能力. 这种贝叶斯式方法有效地利用现有数据为2型糖尿病年轻患者提供了新的试验设计.
科学领域:
- 药物指标 (Pharmacometrics) 是一个指标.
- 临床试验设计 临床试验设计
- 贝叶斯统计学贝叶斯统计学
背景情况:
- 儿科试验往往面临由于增加终点可变性而减少的统计能力.
- 贝叶斯借款方法可以利用外部数据来增强试验能力.
- 药理动力学和暴露-反应模型对于告知贝叶斯分析至关重要.
研究的目的:
- 描述在儿科DINAMO试验中应用预规定的Pharmacometrics增强贝叶斯借用 (PEBB) 分析的应用.
- 通过使用历史成人和儿科数据,解决DINAMO试验中预期的低统计功率问题.
- 评估empagliflozin和linagliptin在患有2型糖尿病的年轻人中的疗效和安全性.
主要方法:
- 使用了先前适配的药理动力学和暴露-反应模型,用于empagliflozin和linagliptin.
- 从历史数据集中模拟参与者数据,以得出贝叶斯稳定混合物的信息组成部分.
- 纳入专家和监管 (美国食品和药物管理局) 建议,以便先前有效地确定样本大小和重量.
主要成果:
- 对empagliflozin和linagliptin的基于暴露反应的贝叶斯借款分析产生了与试验结果一致的结果.
- 后来的平均值和95%可信度间隔支持了疗效和安全性研究结果.
- 敏感性分析证实了在一系列先前权重的结果的稳定性.
结论:
- 对于儿科试验,PEBB方法有效地将机械模型与贝叶斯动态借用相结合.
- 这种方法通过利用药量测量差异和从现有数据中进行部分推断来优化统计能力.
- PEBB代表了一种有前途的策略,用于增强未来儿科临床试验的设计和分析,特别是在2型糖尿病中.
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