Literature DB >> 20395622

Report of the IFCC Working Group for Standardization of Thyroid Function Tests; part 3: total thyroxine and total triiodothyronine.

Linda M Thienpont1, Katleen Van Uytfanghe, Graham Beastall, James D Faix, Tamio Ieiri, W Greg Miller, Jerald C Nelson, Catherine Ronin, H Alec Ross, Jos H Thijssen, Brigitte Toussaint.   

Abstract

BACKGROUND: Because total thyroid hormone testing is performed on many automated clinical chemistry instruments, the IFCC Scientific Division commissioned the Working Group for Standardization of Thyroid Function Tests to include total thyroxine (TT4) and total triiodothyronine (TT3) in its standardization efforts.
METHODS: Existing SI-traceable reference measurement procedures (RMPs) were used to assign TT4 and TT3 values to 40 single-donor serum samples for subsequent use in a method comparison study with 11 TT4 and 12 TT3 immunoassays. Data from comparison of each immunoassay with the RMPs provided a basis for mathematical assay recalibration.
RESULTS: Seven TT4 assays had a mean bias within 10% of the RMP, but 2 deviated by an average of -12% and another 2 by +17%. All TT3 assays showed positive biases, 4 within and 8 outside 10%, up to 32%. Mathematical recalibration effectively eliminated assay-specific biases, but sample-related effects remained, particularly for TT3. Correlation coefficients with the RMPs ranged from 0.82 to 0.97 for TT4 and from 0.32 to 0.92 for TT3. The within-run and total imprecision ranges for TT4 were 1.4% to 9.1% and 3.0% to 9.4%, respectively, and for TT3 2.1% to 7.8% and 2.8% to 12.7%, respectively. Approximately one-half of the assays matched the internal QC targets within approximately 5%; however, we observed within-run drifts/shifts.
CONCLUSIONS: The study showed that of the assays we examined, only 4 TT4 but the majority of the TT3 assays needed establishment of calibration traceability to the existing RMPs. Most assays performed well, but some would benefit from improved precision, within-run stability, and between-run consistency.

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Year:  2010        PMID: 20395622     DOI: 10.1373/clinchem.2009.140228

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  6 in total

1.  Standardization of measurements of 25-hydroxyvitamin D3 and D2.

Authors:  Linda M Thienpont; Hedwig C M Stepman; Hubert W Vesper
Journal:  Scand J Clin Lab Invest Suppl       Date:  2012

2.  Progress in standardizing and harmonizing thyroid function tests.

Authors:  James D Faix; W Greg Miller
Journal:  Am J Clin Nutr       Date:  2016-08-17       Impact factor: 7.045

3.  A Progress Report of the IFCC Committee for Standardization of Thyroid Function Tests.

Authors:  Linda M Thienpont; Katleen Van Uytfanghe; Sofie Van Houcke; Barnali Das; James D Faix; Finlay MacKenzie; Frank A Quinn; Michael Rottmann; Annick Van den Bruel
Journal:  Eur Thyroid J       Date:  2014-05-07

4.  Demonstration of reciprocal diurnal variation in human serum T3 and rT3 concentration demonstrated by mass spectrometric analysis and establishment of thyroid hormone reference intervals.

Authors:  Qian Sun; Lívia Avallone; Brian Stolze; Katherine A Araque; Yesim Özarda; Jacqueline Jonklaas; Toral Parikh; Kerry Welsh; Likhona Masika; Steven J Soldin
Journal:  Ther Adv Endocrinol Metab       Date:  2020-05-27       Impact factor: 3.565

5.  Laboratory policies and practices for thyroid function tests in Croatia: survey on behalf of Working Group for Laboratory Endocrinology of the Croatian Society of Medical Biochemistry and Laboratory Medicine.

Authors:  Adriana Bokulić; Ivana Zec; Sanja Goreta; Nora Nikolac Gabaj; Marija Kocijančić; Tihana Serdar Hiršl; Anamarija Đuras; Mateja Troha; Lada Stanišić; Daniela Šupe-Domić; Sanda Jelisavac Ćosić; Koraljka Đurić; Domagoj Marijančević; Marija Siter Kuprešanin; Iva Lukić; Alenka Pezo; Jasna Leniček Krleža
Journal:  Biochem Med (Zagreb)       Date:  2022-08-05       Impact factor: 2.515

6.  Comparability of thyroid-stimulating hormone immunoassays using fresh frozen human sera and external quality assessment data.

Authors:  Shunli Zhang; Fei Cheng; Hua Wang; Jiangping Wen; Jie Zeng; Chuanbao Zhang; Wensong Liu; Ning Wang; Tingting Jia; Mo Wang; Rui Zhang; Yuhong Yue; Jing Xu; Zhanyong Wang; Yilong Li; Wenxiang Chen; Qingtao Wang
Journal:  PLoS One       Date:  2021-06-15       Impact factor: 3.240

  6 in total

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