Literature DB >> 33554525

Global FT4 immunoassay standardization: an expert opinion review.

Juergen Kratzsch1, Nikola A Baumann2, Ferruccio Ceriotti3, Zhong X Lu4, Matthias Schott5, Antonius E van Herwaarden6, José Gilberto Henriques Vieira7, Dusanka Kasapic8, Luca Giovanella9,10.   

Abstract

OBJECTIVES: Results can vary between different free thyroxine (FT4) assays; global standardization would improve comparability of results between laboratories, allowing development of common clinical decision limits in evidence-based guidelines. CONTENT: We summarize the path to standardization of FT4 assays, and challenges associated with FT4 testing in special populations, including the need for collaborative efforts toward establishing population-specific reference intervals. The International Federation of Clinical Chemistry and Laboratory Medicine Committee for Standardization of Thyroid Function Tests has undertaken FT4 immunoassay method comparison and recalibration studies and developed a reference measurement procedure that is currently being validated. Further studies are needed to establish common reference intervals/clinical decision limits. Standardization of FT4 assays will change test results substantially; therefore, a major education program will be required to ensure stakeholders are aware of the benefits of FT4 standardization, planned transition procedure, and potential clinical impact of the changes. Assay recalibration by manufacturers and approval process simplification by regulatory authorities will help minimize the clinical impact of standardization.
SUMMARY: Significant progress has been made toward standardization of FT4 testing, but technical and logistical challenges remain. OUTLOOK: Collaborative efforts by manufacturers, laboratories, and clinicians are required to achieve successful global standardization of the FT4 assays.
© 2021 Juergen Kratzsch et al., published by De Gruyter, Berlin/Boston.

Entities:  

Keywords:  free thyroxine; immunoassay; reference value; standardization; thyroid

Mesh:

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Year:  2020        PMID: 33554525     DOI: 10.1515/cclm-2020-1696

Source DB:  PubMed          Journal:  Clin Chem Lab Med        ISSN: 1434-6621            Impact factor:   3.694


  1 in total

Review 1.  Artificial intelligence and thyroid disease management: considerations for thyroid function tests.

Authors:  Damien Gruson; Pradeep Dabla; Sanja Stankovic; Evgenija Homsak; Bernard Gouget; Sergio Bernardini; Benoit Macq
Journal:  Biochem Med (Zagreb)       Date:  2022-06-15       Impact factor: 2.515

  1 in total

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