实际使用的测量不确定性 - 在血液学中应用
Wytze P Oosterhuis1, Abdurrahman Coskun2, Sverre Sandberg3
1EFLM Committee: Practical Guide to Implement Measurement Uncertainty, Milan, Italy; Reinier Haga Medical Diagnostic Center, Delft, the Netherlands.
概括
本研究提出了一种实际方法,用于计算临床实验室常规血液学参数的测量不确定性 (MU). 这些发现表明,MU可以在实验室集团内有效确定和改进,确保可靠的诊断测试.
科学领域:
- 临床实验室科学 临床实验室科学
- 医学诊断 医学诊断 医学诊断
- 医疗保健中的质量管理
背景情况:
- 认证标准要求监测和报告临床实验室的测量不确定性 (MU).
- 目前对MU计算的指导方针可能很复杂,需要务实的方法.
- 内部质量控制 (IQC) 数据为MU估计提供了可行的基础.
研究的目的:
- 评估一个替代的,实用方法来计算MU在一个多实验室设置.
- 用IQC数据评估常规血液学参数的MU.
- 识别和解决导致不同测量系统结果变化的因素.
主要方法:
- 应用了使用内部质量控制 (IQC) 结果的务实MU计算方法.
- 在七个实验室分析了11个测量系统的常规血液学参数.
- 采用图形和差异组件分析来确定分歧的来源.
- 将计算的MU与基于生物变异 (MU-APS) 的确定的极限进行比较.
主要成果:
- 大多数血液学测试的测量不确定性 (MU) 处于MU-APS极限内.
- 细胞计数参数,不包括索引,符合生物变异规格.
- 一个校正程序成功地改善了偏差测量系统的 MU.
- 在实验室集团中导致不同结果的因素被确定并减轻.
结论:
- 在实验室集团中的血液学测试中,实用MU计算方法是可行的.
- 内部质量控制数据为常规血液学中MU估计提供了可靠的基础.
- 可以解决已识别的变化源,以提高测量系统的性能和可靠性.
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