Department of Laboratory Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Rd, Shanghai 200032, China.
IT Center, Zhongshan Hospital, Fudan University, 180 Fenglin Rd, Shanghai 200032, China.
Clin Chim Acta. 2020 Dec;511:329-335. doi: 10.1016/j.cca.2020.10.006. Epub 2020 Oct 28.
Patient-based real-time quality control (PBRTQC) has gained attention because of its potential to detect analytical errors in situations wherein internal quality control is less effective. Multiple PBRTQC algorithms have been proposed. However, there is a lack of comprehensive comparison of the performance of PBRTQC algorithms on different types of analytical errors. Thus, a comparative study was conducted.
The performance of six different PBRTQC algorithms was evaluated on three types of analytical errors using 906,552 test results for outpatient serum sodium, chloride, alanine aminotransferase, and creatinine at the Department of Laboratory Medicine at Zhongshan Hospital, Fudan University in 2019. The performance results were compared and assessed.
The moving average, moving median, exponentially weighted moving average, and moving quartiles performed similarly for effectively detecting constant errors (CE) and proportional errors (PE) but not random errors (RE). The moving sum of positive patients and moving standard deviation could detect RE for serum sodium and chlorides but performed poorly on detecting the CE and PE.
This study demonstrated the importance of assessing the potential source of error of a particular analyte and the corresponding type of analytical error before choosing a quality control algorithm for implementation.
基于患者的实时质量控制（PBRTQC）因其能够在内部质量控制效果较差的情况下检测分析误差而受到关注。已经提出了多种 PBRTQC 算法。然而，缺乏对不同类型分析误差的 PBRTQC 算法性能的全面比较。因此，进行了一项比较研究。
使用复旦大学中山医院检验科 2019 年 906552 份门诊血清钠、氯、丙氨酸氨基转移酶和肌酐的检测结果，对六种不同的 PBRTQC 算法在三种分析误差类型上的性能进行了评估。比较和评估了性能结果。
移动平均值、移动中位数、指数加权移动平均值和移动四分位数在有效检测恒常误差（CE）和比例误差（PE）方面表现相似，但不能检测随机误差（RE）。阳性患者的移动总和和移动标准差可检测血清钠和氯化物中的 RE，但在检测 CE 和 PE 方面表现不佳。
本研究表明，在选择实施质量控制算法之前，评估特定分析物的潜在误差源以及相应的分析误差类型非常重要。
