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Biological Variation of Thyroid Stimulating Hormone, Free Triiodothyronine and Free Thyroxine in Healthy Subjects in Turkey

Overview
Specialty Biochemistry
Date 2025 Feb 20
PMID 39974197
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Abstract

Introduction: Biological variation (BV) data are necessary for interpretation of test results and assessment of analytical performance. We aimed to determine the BV estimates for thyroid stimulating hormone (TSH), free triiodothyronine (fT3) and free thyroxine(fT4) in healthy subjects in Turkey and compare them with the literature findings.

Materials And Methods: A total of 21 Turkish healthy volunteers (12 males and 9 females) were included in the study. Blood samples were collected once a week for five weeks, and the analysis was performed using the chemiluminescent immunoassay method on an Advia Centaur XP (Siemens Diagnostic, Tarrytown, USA). Analytical variation (CV), within-subject BV (CV) and between-subject BV (CV) were calculated. Analytical goals, individuality index (II) and reference change value (RCV) were derived from these data. Statistical analysis was performed using BioVar: BV analysis tool v.1.0.

Results: For TSH, fT3 and fT4, CV (confidence interval, CI) were 3.3% (2.9 to 3.8), 1.7% (1.5 to 1.9) and 2.7% (2.4 to 3.1); CV (CI) were 22.3% (19.3 to 26.3), 4.4% (3.8 to 5.3) and 5.1% (4.3 to 6.1); CV (CI) were 26.6% (19.2 to 39.8), 9.2% (6.9 to 13.6) and 8.2% (6.1 to 12.1), respectively. For TSH, fT3 and fT4, desirable total errors were 27.1%, 6.2% and 6.6%; II values were calculated as 0.84, 0.48 and 0.61; and RCV% values (decrease; increase) were - 40.3;67.6, - 10.4;11.6 and - 12.7;14.5, respectively.

Conclusions: Our study provides updated BV data for thyroid function tests (TFTs) in healthy subjects in Turkey. As TFTs have shown a high degree of individuality, RCV should be preferred rather than population-based reference ranges in the assessment of serum concentrations. Our BV estimates were compatible with European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) BV meta-analysis data obtained using different immunoassay methods in different populations.

References
1.
Bartlett W, Braga F, Carobene A, Coskun A, Prusa R, Fernandez-Calle P . A checklist for critical appraisal of studies of biological variation. Clin Chem Lab Med. 2015; 53(6):879-85. DOI: 10.1515/cclm-2014-1127. View

2.
Yamada S, Horiguchi K, Akuzawa M, Sakamaki K, Shimomura Y, Kobayashi I . Seasonal Variation in Thyroid Function in Over 7,000 Healthy Subjects in an Iodine-sufficient Area and Literature Review. J Endocr Soc. 2022; 6(6):bvac054. PMC: 9070835. DOI: 10.1210/jendso/bvac054. View

3.
Carobene A, Franzini C, Ceriotti F . Comparison of the results from two different External Quality Assessment Schemes supports the utility of robust quality specifications. Clin Chem Lab Med. 2011; 49(7):1143-9. DOI: 10.1515/CCLM.2011.196. View

4.
Carobene A, Strollo M, Jonker N, Barla G, Bartlett W, Sandberg S . Sample collections from healthy volunteers for biological variation estimates' update: a new project undertaken by the Working Group on Biological Variation established by the European Federation of Clinical Chemistry and Laboratory Medicine. Clin Chem Lab Med. 2016; 54(10):1599-608. DOI: 10.1515/cclm-2016-0035. View

5.
Ricos C, Arbos M . Quality goals for hormone testing. Ann Clin Biochem. 1990; 27 ( Pt 4):353-8. DOI: 10.1177/000456329002700412. View