Suppr超能文献

利用全球数据评估西格玛尺度下的分析性能:通过外部质量保证和能力验证计划对方法、仪器及制造商进行全球比较分析。

Utilizing global data to estimate analytical performance on the Sigma scale: A global comparative analysis of methods, instruments, and manufacturers through external quality assurance and proficiency testing programs.

作者信息

Westgard Sten A

机构信息

Westgard QC, Inc., Madison, WI, USA.

出版信息

Clin Biochem. 2016 Jun;49(9):699-707. doi: 10.1016/j.clinbiochem.2016.02.013. Epub 2016 Mar 4.

Abstract

OBJECTIVE

To assess the analytical performance of instruments and methods through external quality assessment and proficiency testing data on the Sigma scale.

DESIGN AND METHODS

A representative report from five different EQA/PT programs around the world (2 US, 1 Canadian, 1 UK, and 1 Australasian) was accessed. The instrument group standard deviations were used as surrogate estimates of instrument imprecision. Performance specifications from the US CLIA proficiency testing criteria were used to establish a common quality goal. Then Sigma-metrics were calculated to grade the analytical performance.

RESULTS

Different methods have different Sigma-metrics for each analyte reviewed. Summary Sigma-metrics estimate the percentage of the chemistry analytes that are expected to perform above Five Sigma, which is where optimized QC design can be implemented. The range of performance varies from 37% to 88%, exhibiting significant differentiation between instruments and manufacturers. Median Sigmas for the different manufacturers in three analytes (albumin, glucose, sodium) showed significant differentiation.

CONCLUSIONS

Chemistry tests are not commodities. Quality varies significantly from manufacturer to manufacturer, instrument to instrument, and method to method. The Sigma-assessments from multiple EQA/PT programs provide more insight into the performance of methods and instruments than any single program by itself. It is possible to produce a ranking of performance by manufacturer, instrument and individual method. Laboratories seeking optimal instrumentation would do well to consult this data as part of their decision-making process. To confirm that these assessments are stable and reliable, a longer term study should be conducted that examines more results over a longer time period.

摘要

目的

通过西格玛尺度的外部质量评估和能力验证数据来评估仪器和方法的分析性能。

设计与方法

获取了来自全球五个不同的EQA/PT项目(2个美国项目、1个加拿大项目、1个英国项目和1个澳大拉西亚项目)的一份代表性报告。仪器组标准偏差用作仪器不精密度的替代估计值。采用美国CLIA能力验证标准中的性能规范来确立共同的质量目标。然后计算西格玛指标以对分析性能进行分级。

结果

对于所评估的每种分析物,不同方法具有不同的西格玛指标。汇总西格玛指标估计了有望达到五西格玛以上性能的化学分析物的百分比,达到该水平即可实施优化的质量控制设计。性能范围在37%至88%之间,不同仪器和制造商之间存在显著差异。三种分析物(白蛋白、葡萄糖、钠)中不同制造商的西格玛中位数显示出显著差异。

结论

化学检测并非商品。不同制造商之间、不同仪器之间以及不同方法之间的质量差异显著。多个EQA/PT项目的西格玛评估比任何单个项目本身能更深入地洞察方法和仪器的性能。有可能按制造商、仪器和个别方法生成性能排名。寻求最佳仪器设备的实验室在决策过程中不妨参考这些数据。为证实这些评估是稳定可靠的,应开展一项长期研究,在更长时间段内考察更多结果。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验