从试剂盒插入到日常实践:凝血分析中的六西格玛和最大允许不确定度。

IF 1.4 4区 医学 Q2 MEDICINE, GENERAL & INTERNAL
Coskun Cavusoglu
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引用次数: 0

摘要

准确的实验室检测结果对病人护理至关重要。虽然制造商提供了经过验证的性能指标,如试剂盒插入的变异系数和偏差,但在日常实验室使用中保持这种精度通常是困难的。本研究使用六西格玛和最大允许不确定度方法,比较了Sysmex CS-2500凝血分析仪在常规使用中的分析性能与制造商声明的规格。2024年6月至11月的数据收集于Ümraniye培训与研究医院。凝血试验(凝血酶原时间[PT]、国际标准化比值[INR]和aPTT)采用内部质量控制和外部质量评估方案进行评估。根据CLIA 2024计算Sigma指标,并根据生物变异数据得出最大允许不确定性值。将实验室结果与试剂盒插入值进行比较,并根据分析性能规范进行评估。除7月份外,由于外部质量评估相关偏差,SigmaLAB评分均≥5,而sigmald评分仍为bb0.6。在Mu分析中,PT(6 - 8月)和INR(8月)在MuLAB中低于最低分析性能规范限制,而aPTT始终满足理想的限制。MuMD显示PT在最小值范围内,INR为最小值边界,aPTT为最佳边界。六西格玛提供回顾性的见解,而测量不确定度(Mu)允许持续的性能监控。结合两者提供了分析仪性能的全貌。总之,他们提供了一个更完整的评估,揭示了尽管有优秀的制造商数据,但现场结果显示出与偏差相关的局限性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

From kit inserts to daily practice: Six sigma and maximum allowable uncertainty in coagulation analysis.

From kit inserts to daily practice: Six sigma and maximum allowable uncertainty in coagulation analysis.

From kit inserts to daily practice: Six sigma and maximum allowable uncertainty in coagulation analysis.

From kit inserts to daily practice: Six sigma and maximum allowable uncertainty in coagulation analysis.

Accurate laboratory test results are essential for patient care. While manufacturers provide validated performance metrics such as the coefficient of variation and bias in kit inserts, maintaining such precision in daily laboratory use is often difficult. This study compared the analytical performance of a Sysmex CS-2500 coagulation analyzer in routine use with manufacturer-declared specifications using the Six Sigma and maximum allowable uncertainty methods. Data from June to November 2024 were collected at Ümraniye Training and Research Hospital. Coagulation tests (prothrombin time [PT], International normalized ratio [INR], and aPTT) were assessed using internal quality control and an external quality assessment scheme. Sigma metrics were calculated per CLIA 2024 and maximum allowable uncertainty values were derived using biological variation data. Laboratory results were compared with kit insert values and evaluated according to analytical performance specifications. SigmaLAB scores were ≥ 5 in all months except July due to external quality assessment-related bias, while SigmaMD remained > 6. In Mu analysis, PT (June-August) and INR (August) fell below minimum analytical performance specifications limits in MuLAB, whereas aPTT consistently met desirable limits. MuMD showed PT within minimum, INR borderline minimum, and aPTT borderline optimal limits. Six Sigma provides retrospective insights, while Measurement Uncertainty (Mu) allows continuous performance monitoring. Combining both offers a full picture of analyzer performance. Together, they provide a more complete assessment, revealing that despite excellent manufacturer data, field results showed bias-related limitations.

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来源期刊
Medicine
Medicine 医学-医学:内科
CiteScore
2.80
自引率
0.00%
发文量
4342
审稿时长
>12 weeks
期刊介绍: Medicine is now a fully open access journal, providing authors with a distinctive new service offering continuous publication of original research across a broad spectrum of medical scientific disciplines and sub-specialties. As an open access title, Medicine will continue to provide authors with an established, trusted platform for the publication of their work. To ensure the ongoing quality of Medicine’s content, the peer-review process will only accept content that is scientifically, technically and ethically sound, and in compliance with standard reporting guidelines.
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