华法林药物基因剂量算法的预测准确性的定量比较,这些算法来自中国人口中不同种族的人口数据
Dongyun Nan1, Shaoke Li2, Yi Wang3
1School of Nursing and Health, Henan University, Kaifeng, China.
Journal of clinical pharmacology
|October 4, 2025
概括
区域特定的华法林剂量算法,如黄和Sangviroon,在中国患者中显示出比国际模型更好的准确性. 这些局部衍生算法提供了改进的华法林剂量优化,尽管极端剂量的限制.
科学领域:
- 药物基因组学 药物基因组学
- 临床药理学 临床药理学
- 药物剂量算法 药物剂量算法
背景情况:
- 华法林的剂量需要优化,以确保有效性和安全性.
- 国际华法林剂量算法存在,但在不同人群中可能没有最佳的性能.
- 中国患者代表着一个重要的人口,需要局部化剂量策略.
研究的目的:
- 系统地评估和比较10个国际华法林剂量算法在中国患者队列中的预测性能.
- 在这个特定的种族群体中确定最准确的华法林剂量优化算法.
- 评估不同华法林维持剂量类别的算法性能.
主要方法:
- 评估使用87名中国患者的临床和遗传数据的10种国际华法林剂量算法.
- 使用平均剂量误差 (MDE) 和理想剂量预测 (IDP) 速率指标分析预测性性能.
- 敏感性分析将患者分为低,中,高每周瓦法林剂量组.
主要成果:
- 在评估的算法中观察到MDEs (-6.6至11.3毫克/周) 的显著变化.
- 中国开发的黄算法和泰国开发的桑维龙算法表现出卓越的准确性,MDEs<1毫克/周,IDP>40%.
- 这些特定区域的算法在中剂量患者中显示出强大的性能,但在低剂量患者中被高估,在高剂量患者中被低估.
结论:
- 在中国人群中,特定区域的华法林剂量算法 (Huang和Sangviroon) 优于国际模型.
- 局部衍生算法可能为中国患者的华法林剂量优化提供更大的临床实用性.
- 需要进一步完善区域算法,以解决剂量极端的性能问题.
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