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六种自动化免疫分析法与同位素稀释液相色谱-串联质谱法测定总甲状腺素的比较。

Comparison of Six Automated Immunoassays With Isotope-Diluted Liquid Chromatography-Tandem Mass Spectrometry for Total Thyroxine Measurement.

机构信息

Department of Clinical Laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.

National Center for Clinical Laboratories, Beijing Hospital, National Center for Gerontology, Beijing Engineering Research Center of Laboratory Medicine, Beijing, China.

出版信息

Ann Lab Med. 2019 Jul;39(4):381-387. doi: 10.3343/alm.2019.39.4.381.

Abstract

BACKGROUND

Accurate serum total thyroxine (TT4) measurement is important for thyroid disorder diagnosis and management. We compared the performance of six automated immunoassays with that of isotope-diluted liquid chromatography-tandem mass spectrometry (ID-LC-MS/MS) as the reference method. We also evaluated the correlation of thyroid stimulating hormone (TSH) with TT4 measured by ID-LC-MS/MS and immunoassays.

METHODS

Serum was collected from 156 patients between October 2015 and January 2016. TT4 was measured by immunoassays from Abbott (Architect), Siemens (ADVIA Centaur XP), Roche (E601), Beckman-Coulter (Dxi800), Autobio (Autolumo A2000), and Mindray (CL-1000i), and by ID-LC-MS/MS. Results were analyzed using Passing-Bablok regression and Bland-Altman plots. Minimum requirements based on biological variation were as follows: a mean bias of ≤4.5% and total imprecision (CV) of ≤3.7%.

RESULTS

All immunoassays showed a correlation >0.945 with ID-LC-MS/MS; however, the slope of the Passing-Bablok regression line varied from 0.886 (Mindray) to 1.23 (Siemens) and the intercept from -12.8 (Siemens) to 4.61 (Mindray). Only Autobio, Beckman-Coulter, and Roche included the value of one in the 95% confidence interval for slope. The mean bias ranged from -10.8% (Abbott) to 9.0% (Siemens), with the lowest value noted for Roche (3.5%) and the highest for Abbott (-10.8%). Only Abbott and Roche showed within-run and total CV ≤3.7%.

CONCLUSIONS

Though all immunoassays correlated strongly with ID-LC-MS/MS, most did not meet the minimum clinical requirement. Laboratories and immunoassay manufacturers must be aware of these limitations.

摘要

背景

准确测量血清总甲状腺素(TT4)对甲状腺疾病的诊断和治疗非常重要。我们比较了六种自动化免疫分析法与同位素稀释液相色谱-串联质谱法(ID-LC-MS/MS)作为参考方法的性能。我们还评估了促甲状腺激素(TSH)与 ID-LC-MS/MS 和免疫分析法测量的 TT4 之间的相关性。

方法

2015 年 10 月至 2016 年 1 月期间,我们从 156 名患者中采集了血清。使用 Abbott(Architect)、Siemens(ADVIA Centaur XP)、Roche(E601)、Beckman-Coulter(Dxi800)、Autobio(Autolumo A2000)和 Mindray(CL-1000i)的免疫分析法以及 ID-LC-MS/MS 测量 TT4。使用 Passing-Bablok 回归和 Bland-Altman 图进行结果分析。基于生物学变异的最低要求如下:平均偏差≤4.5%,总不精密度(CV)≤3.7%。

结果

所有免疫分析法与 ID-LC-MS/MS 的相关性均>0.945;然而,Passing-Bablok 回归线的斜率从 0.886(Mindray)到 1.23(Siemens)不等,截距从-12.8(Siemens)到 4.61(Mindray)不等。只有 Autobio、Beckman-Coulter 和 Roche 的斜率包含在 95%置信区间内的 1。平均偏差范围从-10.8%(Abbott)到 9.0%(Siemens)不等,其中 Roche 的值最低(3.5%),Abbott 的值最高(-10.8%)。只有 Abbott 和 Roche 的批内和总 CV 均≤3.7%。

结论

尽管所有免疫分析法与 ID-LC-MS/MS 相关性均较强,但大多数方法均未达到最低临床要求。实验室和免疫分析制造商必须意识到这些限制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/601d/6400722/9659b899130b/alm-39-381-g001.jpg

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