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作为一种质量控制工具的阳性患者结果数量移动总和。

Moving sum of number of positive patient result as a quality control tool.

作者信息

Liu Jiakai, Tan Chin Hon, Badrick Tony, Loh Tze Ping

机构信息

.

出版信息

Clin Chem Lab Med. 2017 Oct 26;55(11):1709-1714. doi: 10.1515/cclm-2016-0950.

Abstract

BACKGROUND

Recently, the total prostate-specific antigen (PSA) assay used in a laboratory had a positive bias of 0.03 μg/L, which went undetected. Consequently, a number of post-prostatectomy patients with previously undetectable PSA concentrations (defined as <0.03 μg/L in that laboratory) were being reported as having detectable PSA, which suggested poorer prognosis according to clinical guidelines.

METHODS

Through numerical simulations, we explored (1) how a small bias may evade the detection of routine quality control (QC) procedures with specific reference to the concentration of the QC material, (2) whether the use of 'average of normals' approach may detect such a small bias, and (3) describe the use of moving sum of number of patient results with detectable PSA as an adjunct QC procedure.

RESULTS

The lowest QC level (0.86 μg/L) available from a commercial kit had poor probability (<10%) of a bias of 0.03 μg/L regardless of QC rule (i.e. 1:2S, 2:2S, 1:3S, 4:1S) used. The average number of patient results affected before error detection (ANPed) was high when using the average of normals approach due to the relatively wide control limits. By contrast, the ANPed was significantly lower for the moving sum of number of patient results with a detectable PSA approach.

CONCLUSIONS

Laboratory practitioners should ensure their QC strategy can detect small but critical bias, and may require supplementation of ultra-low QC levels that are not covered by commercial kits with in-house preparations. The use of moving sum of number of patient results with a detectable result is a helpful adjunct QC tool.

摘要

背景

最近,某实验室使用的总前列腺特异性抗原(PSA)检测方法存在0.03μg/L的正偏差,但未被发现。因此,一些前列腺切除术后PSA浓度此前无法检测到(在该实验室定义为<0.03μg/L)的患者被报告为PSA可检测到,根据临床指南,这提示预后较差。

方法

通过数值模拟,我们探讨了(1)小偏差如何逃避常规质量控制(QC)程序的检测,特别参考了QC材料的浓度;(2)使用“正常均值”方法是否可以检测到这种小偏差;(3)描述将PSA可检测的患者结果数量的移动总和用作辅助QC程序的情况。

结果

无论使用何种QC规则(即1:2S、2:2S、1:3S、4:1S),商业试剂盒提供的最低QC水平(0.86μg/L)出现0.03μg/L偏差的概率都很低(<10%)。由于控制限相对较宽,使用正常均值方法时,在错误检测前受影响的患者结果平均数量(ANPed)较高。相比之下,对于PSA可检测的患者结果数量的移动总和方法,ANPed显著更低。

结论

实验室工作人员应确保其QC策略能够检测到微小但关键的偏差,可能需要用内部制备物补充商业试剂盒未涵盖超低QC水平。将PSA可检测的患者结果数量的移动总和用作辅助QC工具是有帮助的。

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