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对于通用凝血测试参考间隔的综合框架:11个间接算法的跨平台验证和特定年龄的层次优化
Yunfeng Wu1, Tingting Huang1, Huixian Huang1
1Center of Clinical Laboratory, Shenzhen Hospital, Southern Medical University, Shenzhen, Guangdong, China.
概括
Z-Score和Tukey算法是建立凝血参考间隔 (RIs) 的最佳方法,建议使用特定年龄的D-Dimer RIs. 这一框架增强了中国人口凝血测试的标准化.
科学领域:
- 临床化学 临床化学
- 生物统计学 生物统计学
- 医疗信息学 医疗信息学
背景情况:
- 对于凝血参考间隔 (RIs) 的常规直接方法面临人口招募,数据分布和年龄影响的挑战.
- 使用真实世界数据 (RWD) 的间接方法在算法和跨平台验证方面缺乏共识.
研究的目的:
- 开发一个多算法框架来评估异常值检测算法.
- 通过使用现实数据,优化中国人口的凝血RI.
- 为了验证选定的算法的跨平台适用性.
主要方法:
- 对630,946个凝血试验记录进行了回顾性分析.
- 评估11个异常值检测算法用于RI导出.
- 使用参考变化值 (RCV) 和方差组件模型量化算法稳定性和性别/年龄影响.
- 在Mindray CX-9000和Stago STA R Max上进行跨平台验证.
主要成果:
- Z-Score和Tukey算法显示了8个凝血参数的最佳性能.
- 观察到最小的基于性别的差异,否定了性别分层的需要.
- 在60岁及以上的个体中,对D-Dimer的年龄分层是必要的.
- 跨平台一致性证实了算法通用性.
结论:
- 采用Z-Score和Tukey方法,可以最好地获得凝血RIs.
- 推年龄特定的D-Dimer RI;性别分层是不必要的.
- 这种RCV驱动的框架增强了凝血测试的标准化.
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