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校准间和校准内变异:对内部质量控制规则的影响

Between and within calibration variation: implications for internal quality control rules.

作者信息

Lim Chun Yee, Lee Jermyn Jit Siong, Choy Kay Weng, Badrick Tony, Markus Corey, Loh Tze Ping

机构信息

Engineering Cluster, Singapore Institute of Technology, Singapore.

Department of Pathology, Northern Health, Epping, Vic, Australia.

出版信息

Pathology. 2023 Jun;55(4):525-530. doi: 10.1016/j.pathol.2022.11.013. Epub 2023 Feb 16.

DOI:10.1016/j.pathol.2022.11.013
PMID:36894352
Abstract

The variability between calibrations can be larger than the within calibration variation for some measurement procedures, that is a large CV:CV ratio. In this study, we examined the false rejection rate and probability of bias detection of quality control (QC) rules at varying calibration CV:CV ratios. Historical QC data for six representative routine clinical chemistry serum measurement procedures (calcium, creatinine, aspartate aminotransferase, thyrotrophin, prostate specific antigen and gentamicin) were extracted to derive the CV:CV ratios using analysis of variance. Additionally, the false rejection rate and probability of bias detection of three 'Westgard' QC rules (2:2S, 4:1S, 10X) at varying CV:CV ratios (0.1-10), magnitudes of bias, and QC events per calibration (5-80) were examined through simulation modelling. The CV:CV ratios for the six routine measurement procedures ranged from 1.1 to 34.5. With ratios >3, false rejection rates were generally above 10%. Similarly for QC rules involving a greater number of consecutive results, false rejection rates increased with increasing ratios, while all rules achieved maximum bias detection. Laboratories should avoid the 2:2S, 4:1S and 10X QC rules when calibration CV:CV ratios are elevated, particularly for those measurement procedures with a higher number of QC events per calibration.

摘要

对于某些测量程序,校准之间的变异性可能大于校准内的变异性,即CV:CV比值较大。在本研究中,我们研究了在不同校准CV:CV比值下质量控制(QC)规则的假拒绝率和偏差检测概率。提取了六种代表性常规临床化学血清测量程序(钙、肌酐、天冬氨酸转氨酶、促甲状腺激素、前列腺特异性抗原和庆大霉素)的历史QC数据,使用方差分析得出CV:CV比值。此外,通过模拟建模研究了三种“韦斯特加德”QC规则(2:2S、4:1S、10X)在不同CV:CV比值(0.1 - 10)、偏差大小和每次校准的QC事件数(5 - 80)下的假拒绝率和偏差检测概率。六种常规测量程序的CV:CV比值范围为1.1至34.5。当比值>3时,假拒绝率通常高于10%。同样,对于涉及更多连续结果的QC规则,假拒绝率随比值增加而增加,而所有规则都实现了最大偏差检测。在校准CV:CV比值升高时,实验室应避免使用2:2S、4:1S和10X QC规则,特别是对于那些每次校准有更多QC事件的测量程序。

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