除了基础知识之外:实验室医学中的Sigma分数具有可变的允许总误差 (TEa)
Dharmveer Yadav1, Mohini Rathore1, Mithu Banerjee1
1Department of Biochemistry, All India Institute of Medical Sciences All India Institute of Medical Sciences, Jodhpur, India.
Clinica chimica acta; international journal of clinical chemistry
|September 26, 2024
概括
西格玛指标对于临床实验室质量控制至关重要,但不同的允许总错误 (TEa) 目标会对结果产生重大影响. 标准化TEa来源对于准确的性能评估和可靠的患者护理至关重要.
科学领域:
- 临床化学 临床化学
- 实验室质量管理的质量管理.
- 医学诊断 医学诊断 医学诊断
背景情况:
- 临床实验室依靠准确的结果进行诊断和治疗监测.
- 内部质量控制 (IQC) 和外部质量保证计划 (EQAS) 评估实验室的性能.
- 使用偏差,CV%和允许总错误 (TEa) 计算的Sigma指标是关键错误指标.
研究的目的:
- 使用六个不同的TEa源来确定20个常规化学参数的西格玛分数.
- 评估TEa源变量的对西格玛度量评估的影响.
- 为表现不佳的参数制定内部质量控制计划.
主要方法:
- 在12个月内使用IQC (CV) 和EQAS (偏差) 分析了20个常规化学参数.
- 使用公式计算西格玛分数:西格玛 = (TEa - 偏差%) / CV%.
- 从六个不同的TEa来源 (CLIA'88,CLIA'24,BDV,RCPA,RiliBak,EMC/Spain) 获得的比较西格玛值.
主要成果:
- 在不同的TEa来源中,Sigma值有显著的差异.
- CLIA'88,RiliBak显示了更自由的TEa目标,而RCPA和生物变异则更严格.
- 确定了低西格玛分数的错误来源,包括试剂老化和仪器维护,并实施了质量控制计划.
结论:
- 选择TEa源对西格玛度量评估有很大影响.
- 对于可靠的实验室性能评估,需要对西格玛指标进行协调和标准化.
- 建立TEA目标的全球共识需要专家之间的国际合作.
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