评价5种用于常规临床分析的多类固醇LC-MS /MS方法:对9种分析物获得了可比较的性能。

IF 3.8 2区 医学 Q1 MEDICAL LABORATORY TECHNOLOGY
Clinical chemistry and laboratory medicine Pub Date : 2023-12-04 Print Date: 2024-04-25 DOI:10.1515/cclm-2023-0847
Valentin Braun, Uta Ceglarek, Alexander Gaudl, Joanna Gawinecka, Daniel Müller, Manfred Rauh, Matthias Weber, Christoph Seger
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引用次数: 0

摘要

目的:采用质谱法(LC-MS /MS)对5个实验室的9种类固醇分析物进行实验室间比较研究。样本集包含40个汇集的人类血清样本,这些样本是从预先分析的剩菜中产生的。为了获得每个类固醇在参考区间内的良好平衡分布,剩余物首先进行了有针对性的混合步骤。方法:所有参与者使用自己的多分析物协议和校准器测量一次样本集。四个参与者使用内部开发的测量平台,包括三个参与者使用的IVD-CE认证校准器;第五个实验室使用了IVD制造商提供的整个LC-MS试剂盒。所有实验室报告了17-羟基孕酮、雄烯二酮、皮质醇和睾酮的检测结果,四个实验室报告了11-脱氧皮质醇、皮质酮、可的松、硫酸脱氢表雄酮(DHEAS)和黄体酮的检测结果。结果:Bland-Altmann和Passing-Bablok分析的总体可比性良好或可接受。除了DHEAS、雄烯二酮和黄体酮在一个位点以及皮质醇和皮质酮在两个位点(最大)外,总体平均值的平均偏倚仍然小于±10 %。-18.9 %(雄烯二酮)。本研究揭示的主要分析问题包括以前在能力测试中未发现的偏差、操作员错误、不支持的矩阵类型以及测量间隔低端的较高不准确性和不精确性。结论:本研究表明,方法间比较对于监测测定的有效性是必不可少的,并且应该作为外部质量评估如何在有组织的熟练度测试方案之外工作的一个例子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of five multisteroid LC‒MS/MS methods used for routine clinical analysis: comparable performance was obtained for nine analytes.

Objectives: A mass spectrometry (LC‒MS/MS)-based interlaboratory comparison study was performed for nine steroid analytes with five participating laboratories. The sample set contained 40 pooled samples of human serum generated from preanalyzed leftovers. To obtain a well-balanced distribution across reference intervals of each steroid, the leftovers first underwent a targeted mixing step.

Methods: All participants measured a sample set once using their own multianalyte protocols and calibrators. Four participants used in-house developed measurement platforms, including IVD-CE certified calibrators, which were used by three participants; the 5th lab used the whole LC‒MS kit from an IVD manufacturer. All labs reported results for 17-hydroxyprogesterone, androstenedione, cortisol, and testosterone, and four labs reported results for 11-deoxycortisol, corticosterone, cortisone, dehydroepiandrosterone sulfate (DHEAS), and progesterone.

Results: Good or acceptable overall comparability was found in Bland‒Altman and Passing‒Bablok analyses. Mean bias against the overall mean remained less than ±10 % except for DHEAS, androstenedione, and progesterone at one site and for cortisol and corticosterone at two sites (max. -18.9 % for androstenedione). The main analytical problems unraveled by this study included a bias not previously identified in proficiency testing, operator errors, non-supported matrix types and higher inaccuracy and imprecision at lower ends of measuring intervals.

Conclusions: This study shows that intermethod comparison is essential for monitoring the validity of an assay and should serve as an example of how external quality assessment could work in addition to organized proficiency testing schemes.

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来源期刊
Clinical chemistry and laboratory medicine
Clinical chemistry and laboratory medicine 医学-医学实验技术
CiteScore
11.30
自引率
16.20%
发文量
306
审稿时长
3 months
期刊介绍: Clinical Chemistry and Laboratory Medicine (CCLM) publishes articles on novel teaching and training methods applicable to laboratory medicine. CCLM welcomes contributions on the progress in fundamental and applied research and cutting-edge clinical laboratory medicine. It is one of the leading journals in the field, with an impact factor over 3. CCLM is issued monthly, and it is published in print and electronically. CCLM is the official journal of the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) and publishes regularly EFLM recommendations and news. CCLM is the official journal of the National Societies from Austria (ÖGLMKC); Belgium (RBSLM); Germany (DGKL); Hungary (MLDT); Ireland (ACBI); Italy (SIBioC); Portugal (SPML); and Slovenia (SZKK); and it is affiliated to AACB (Australia) and SFBC (France). Topics: - clinical biochemistry - clinical genomics and molecular biology - clinical haematology and coagulation - clinical immunology and autoimmunity - clinical microbiology - drug monitoring and analysis - evaluation of diagnostic biomarkers - disease-oriented topics (cardiovascular disease, cancer diagnostics, diabetes) - new reagents, instrumentation and technologies - new methodologies - reference materials and methods - reference values and decision limits - quality and safety in laboratory medicine - translational laboratory medicine - clinical metrology Follow @cclm_degruyter on Twitter!
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