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在甲状腺和凝血测试的统一PBRTQC框架下,EWMA,MA和MQ的比较
Banjiu Zhaxi1, Chaochao Ma1,2, Qian Chen1
1Department of Laboratory Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Science, Beijing 100730, China.
Diagnostics (Basel, Switzerland)
|January 28, 2026
概括
基于患者的实时质量控制 (PBRTQC) 使用统计过程控制 (SPC) 算法提供可靠的分析监测. 指数加权移动平均线 (EWMA) 算法显示,对于像TSH这样的变量测量有优势.
科学领域:
- 临床化学 临床化学
- 实验室医学 实验室医学
- 质量控制 质量控制
背景情况:
- 基于患者的实时质量控制 (PBRTQC) 提供持续的分析监测.
- 经典的统计过程控制 (SPC) 算法性能各不相同,缺乏标准化的评估.
研究的目的:
- 在统一的PBRTQC框架内比较三个SPC算法 (MA,MQ,EWMA).
- 为优化SPC算法参数提出一个复合度量.
主要方法:
- 通过使用标准化的PBRTQC工作流程,分析了六个分析物的例行患者结果.
- 模拟训练偏差和优化参数,使用复合度量 (灵敏度,FPR,检测延迟).
- 在独立验证数据集上评估的性能.
主要成果:
- 所有三个SPC算法在大多数分析物中都表现出强大的PBRTQC性能.
- EWMA 显示了 TSH 的优异性能,具有更高的灵敏度和更短的检测延迟.
- 复合指标促进了有效的参数优化.
结论:
- 经典的SPC算法提供可靠的PBRTQC性能.
- 对于更可变的分析物来说,EWMA是有利的.
- 复合度量使得PBRTQC实现标准化,实用化和分析适应性.
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