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使用不同自动免疫分析平台和存在抗体干扰高风险标本的一组甲状腺检测项目的比较多中心研究。

Comparative multicentre study of a panel of thyroid tests using different automated immunoassay platforms and specimens at high risk of antibody interference.

作者信息

Martel J, Després N, Ahnadi C E, Lachance J F, Monticello J E, Fink G, Ardemagni A, Banfi G, Tovey J, Dykes P, John R, Jeffery J, Grant A M

机构信息

Centre for Research and Evaluation in Diagnostics, Department of Clinical Biochemistry, Centre Hospitalier Universitaire de Sherbrooke, Qc, Canada.

出版信息

Clin Chem Lab Med. 2000 Aug;38(8):785-93. doi: 10.1515/CCLM.2000.112.

Abstract

The introduction of automation for immunoassays in recent years has brought about important and evident improvements in assay precision. Increasing standardization and comparability between platforms should enable the development of clinical guidelines and diagnostic algorithms for appropriate clinical decision making. A continuing source of variation between different automated immunoassay platforms is the sporadic effect of interfering antibodies or substances, thus causing aberrant results not supporting the patient's clinical status. The aim of this study was to describe current thyroid panel variation between automated immunoassay platforms including population specimens at risk of antibody interference. A multisite design with laboratories in three different countries using four different automated immunoassay platforms (Roche-Boehringer Mannheim Elecsys (Italy), Roche-Boehringer Mannheim ES300 (Wales), Bayer Immuno 1 and the Bayer ACS:180 evaluated the thyroid panel of thyrotropin (TSH), triiodothyromine (T3), free thyroxine (FT4) and free triiodothyronine (FT3). A common set of 158 randomly selected patient samples of non-thyroid and thyroid disorders, with and without treatment, was tested. Included were 62 patient samples at risk for endogenous antibody interference with high antimicrosomal antibody, anti-TSH receptor antibody and increased rheumatoid factor sub-populations. Across all controls and between platforms, precision measurements were comparable and varied between 0.7% and 12.8% for TSH, 2.8% and 13% for FT4, 1.8% and 10.5% for FT3 and 3.1% and 16% for T3 assay. Acceptable correlation and reproducibility were found between the three Bayer Immuno 1 platforms at each country's site with all four thyroid panel assays demonstrating r-values of 0.989 to 1.000 and slopes of 0.915 to 1.078. Comparisons between the different platforms showed acceptable correlation for all thyroid panel assays. Specimens containing rheumatoid factor were associated with a significantly increased variation between systems for the FT4 and FT3 assays (p < 0.01). This effect did not appear to be selective for a given platform. For specimens with raised autoimmune antibodies and therefore at risk of assay antibody interference, no variation could be observed between the platforms.

摘要

近年来,免疫测定自动化技术的引入显著提高了测定精度。平台间标准化和可比性的增强有助于制定临床指南和诊断算法,以辅助临床做出恰当决策。不同自动化免疫测定平台间存在的一个持续变化来源是干扰抗体或物质的偶发效应,这会导致结果异常,无法反映患者的临床状况。本研究旨在描述当前不同自动化免疫测定平台间甲状腺检测指标的差异,包括存在抗体干扰风险的人群样本。一项多中心设计,涉及来自三个不同国家的实验室,使用四种不同的自动化免疫测定平台(罗氏 - 勃林格曼海姆公司的Elecsys(意大利)、罗氏 - 勃林格曼海姆公司的ES300(威尔士)、拜耳Immuno 1和拜耳ACS:180),对促甲状腺激素(TSH)、三碘甲状腺原氨酸(T3)、游离甲状腺素(FT4)和游离三碘甲状腺原氨酸(FT3)的甲状腺检测指标进行评估。对158份随机选取的非甲状腺和甲状腺疾病患者样本进行检测,这些样本有的接受过治疗,有的未接受过治疗。其中包括62份存在内源性抗体干扰风险的患者样本,这些样本的抗微粒体抗体、抗TSH受体抗体以及类风湿因子亚群水平较高。在所有对照样本以及不同平台之间,精密度测量结果具有可比性,TSH的变异系数在0.7%至12.8%之间,FT4在2.8%至13%之间,FT3在1.8%至10.5%之间,T3检测在3.1%至16%之间。在每个国家的站点,拜耳Immuno 1的三个平台之间在所有四项甲状腺检测指标上均具有可接受的相关性和重现性,r值在0.989至1.000之间,斜率在0.915至1.078之间。不同平台之间的比较显示,所有甲状腺检测指标均具有可接受的相关性。含有类风湿因子的样本在FT4和FT3检测中,系统间的变异显著增加(p < 0.01)。这种效应似乎并非特定于某一平台。对于自身免疫抗体升高且存在检测抗体干扰风险的样本而言,各平台之间未观察到差异。

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