Home Pediatric reference intervals for endocrine markers and fertility hormones in healthy children and adolescents on the Siemens Healthineers Atellica immunoassay system
Article
Licensed
Unlicensed Requires Authentication

Pediatric reference intervals for endocrine markers and fertility hormones in healthy children and adolescents on the Siemens Healthineers Atellica immunoassay system

  • Mary Kathryn Bohn , Paul Horn , Donna League , Paul Steele , Alexandra Hall and Khosrow Adeli EMAIL logo
Published/Copyright: May 7, 2021

Abstract

Objectives

Rapid development in childhood and adolescence combined with lack of immunoassay standardization necessitates the establishment of age-, sex-, and assay-specific reference intervals for immunochemical markers. This study established reference intervals for 11 immunoassays on the new Siemens Healthineers Atellica® IM Analyzer in the healthy CALIPER cohort.

Methods

A total of 600 healthy participants (birth to 18 years) were recruited from the community, and serum samples were collected with informed consent. After sample analysis, age- and sex-specific differences were assessed, and outliers were removed. Reference intervals were established using the robust method (40–<120 participants) or nonparametric method (≥120 participants).

Results

Of the 11 immunoassays studied, nine required age partitioning (i.e., dehydroepiandrosterone-sulfate, estradiol, ferritin, folate, follicle-stimulating hormone, luteinizing hormone, progesterone, testosterone, vitamin B12), and seven required sex partitioning. Free thyroxine and thyroid-stimulating hormone demonstrated no significant age- and/or sex-specific differences.

Conclusions

Overall, the age- and sex-specific trends observed closely mirrored those previously reported by CALIPER on other platforms as well as other internationally recognized studies. However, established lower and upper limits demonstrated some discrepancies between published values from healthy cohorts on alternate analytical systems, highlighting differences between manufacturers and the need for platform-specific reference intervals for informed pediatric clinical decision-making.


Corresponding author: Khosrow Adeli, CALIPER Program, Department of Pediatric Laboratory Medicine, Hospital for Sick Children, 555 University Avenue, Toronto, ON, M5G 1X8, Canada; and Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada, Phone: +416 813 8682, ext. 208682, E-mail:

Award Identifier / Grant number: 353989

Acknowledgments

We would like to thank CALIPER participants and families without whom this study would not be possible. We would also like to thank Siemens Healthineers for their support of this study.

  1. Research funding: This work was supported by a Foundation Grant from the Canadian Institutes of Health Research (CIHR) (Grant 353989), and Restracomp Scholarship (Hospital for Sick Children) (to M.K.B.). Reagents were provided at no cost by Siemens Healthcare LTD. Study funders played no role in study design; in the collection, analysis and interpretation of data; in the writing of the report; and in the decision to submit the article for publication.

  2. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  3. Competing interests: Authors state no conflict of interest.

  4. Informed consent: Informed consent was obtained from all individuals included in this study.

  5. Ethical approval: This study was approved by the Research Ethics Board at the Hospital for Sick Children in Toronto, Canada.

References

1. Adeli, K, Higgins, V, Trajcevski, K, White-Al Habeeb, N. The Canadian laboratory initiative on pediatric reference intervals: a CALIPER white paper. Crit Rev Clin Lab Sci 2017;54:358–413. https://doi.org/10.1080/10408363.2017.1379945.Search in Google Scholar

2. Horowitz, GL, Altaie, S, Boyd, JC. Defining, establishing, and verifying reference intervals in the clinical laboratory; approved guideline, 3rd ed. Wayne, PA: CLSI; 2010.Search in Google Scholar

3. Hoq, M, Karlaftis, V, Mathews, S, Burgess, J, Donath, SM, Carlin, J, et al.. A prospective, cross-sectional study to establish age-specific reference intervals for neonates and children in the setting of clinical biochemistry, immunology and haematology: the HAPPI Kids study protocol. BMJ Open 2019;9. https://doi.org/10.1136/bmjopen-2018-025897.Search in Google Scholar

4. Clifford, SM, Bunker, AM, Jacobsen, JR, Roberts, WL. Age and gender specific pediatric reference intervals for aldolase, amylase, ceruloplasmin, creatine kinase, pancreatic amylase, prealbumin, and uric acid. Clin Chim Acta 2011;412:788–90. https://doi.org/10.1016/j.cca.2011.01.011.Search in Google Scholar

5. Kohse, KP. KiGGS - the German survey on children’s health as data base for reference intervals and beyond. Clin Biochem 2014;47:742–3. https://doi.org/10.1016/j.clinbiochem.2014.05.039.Search in Google Scholar

6. Southcott, EK, Kerrigan, JL, Potter, JM, Telford, RD, Waring, P, Reynolds, GJ, et al.. Establishment of pediatric reference intervals on a large cohort of healthy children. Clin Chim Acta 2010;411:1421–7. https://doi.org/10.1016/j.cca.2010.06.018.Search in Google Scholar

7. Stenman, U-H. Immunoassay standardization: is it possible, Who is responsible, Who is capable? Clin Chem 2001;47:815–20. https://doi.org/10.1093/clinchem/47.5.815.Search in Google Scholar

8. Tahmasebi, H, Higgins, V, Woroch, A, Asgari, S, Adeli, K. Pediatric reference intervals for clinical chemistry assays on Siemens ADVIA XPT/1800 and Dimension EXL in the CALIPER cohort of healthy children and adolescents. Clin Chim Acta 2019;490:88–97. https://doi.org/10.1016/j.cca.2018.12.011.Search in Google Scholar

9. Higgins, V, Fung, AWS, Chan, MK, Macri, J, Adeli, K. Pediatric reference intervals for 29 Ortho VITROS 5600 immunoassays using the CALIPER cohort of healthy children and adolescents. Clin Chem Lab Med 2018;56:327–40. https://doi.org/10.1515/cclm-2017-0349.Search in Google Scholar

10. Karbasy, K, Lin, DCC, Stoianov, A, Chan, MK, Bevilacqua, V, Chen, Y, et al.. Pediatric reference value distributions and covariate-stratified reference intervals for 29 endocrine and special chemistry biomarkers on the Beckman Coulter Immunoassay Systems: a CALIPER study of healthy community children. Clin Chem Lab Med 2015;54:643–57. https://doi.org/10.1515/cclm-2015-0558.Search in Google Scholar

11. Konforte, D, Shea, JL, Kyriakopoulou, L, Colantonio, D, Cohen, AH, Shaw, J, et al.. Complex biological pattern of fertility hormones in children and adolescents: a study of healthy children from the CALIPER cohort and establishment of pediatric reference intervals. Clin Chem 2013;59:1215–27. https://doi.org/10.1373/clinchem.2013.204123.Search in Google Scholar

12. Bailey, D, Colantonio, D, Kyriakopoulou, L, Cohen, AH, Chan, MK, Armbruster, D, et al.. Marked biological variance in endocrine and biochemical markers in childhood: establishment of pediatric reference intervals using healthy community children from the CALIPER cohort. Clin Chem 2013;59:1393–405. https://doi.org/10.1373/clinchem.2013.204222.Search in Google Scholar

13. Bohn, MK, Higgins, V, Asgari, S, Leung, F, Hoffman, B, Macri, J, et al.. Paediatric reference intervals for 17 Roche cobas 8000 e602 immunoassays in the CALIPER cohort of healthy children and adolescents. Clin Chem Lab Med 2019;57:1968–79.10.1515/cclm-2019-0707Search in Google Scholar

14. Brinc, D, Chan, MK, Venner, AA, Pasic, MD, Colantonio, D, Kyriakopolou, L, et al.. Long-term stability of biochemical markers in pediatric serum specimens stored at -80 degrees C: a CALIPER Substudy. Clin Biochem 2012;45:816–26. https://doi.org/10.1016/j.clinbiochem.2012.03.029.Search in Google Scholar

15. Colantonio, DA, Kyriakopoulou, L, Chan, MK, Daly, CH, Brinc, D, Venner, AA, et al.. Closing the gaps in pediatric laboratory reference intervals: a caliper database of 40 biochemical markers in a healthy and multiethnic population of children. Clin Chem 2012;58:854–68. https://doi.org/10.1373/clinchem.2011.177741.Search in Google Scholar

16. Harris, EK, Boyd, JC. On dividing reference data into subgroups to produce separate reference ranges. Clin Chem 1990;36. https://doi.org/10.1093/clinchem/36.2.265.Search in Google Scholar

17. Horn, PS, Pesce, AJ. Reference intervals: an update. Clin Chim Acta 2003;334:5–23. https://doi.org/10.1016/s0009-8981(03)00133-5.Search in Google Scholar

18. Soldin, OP, Hoffman, EG, Waring, MA, Soldin, SJ. Pediatric reference intervals for FSH, LH, estradiol, T3, free T3, cortisol, and growth hormone on the DPC IMMULITE 1000. Clin Chim Acta 2005;355:205–10. https://doi.org/10.1016/j.cccn.2005.01.006.Search in Google Scholar

19. Adeli, K, Higgins, V, Nieuwesteeg, M, Raizman, JE, Chen, Y, Wong, SL, et al.. Complex reference values for endocrine and special chemistry biomarkers across pediatric, adult, and geriatric ages: establishment of robust pediatric and adult reference intervals on the basis of the canadian health measures survey. Clin Chem 2015;61:1063–74. https://doi.org/10.1373/clinchem.2015.240523.Search in Google Scholar

20. Hoq, M, Matthews, S, Karlaftis, V, Burgess, J, Cowley, J, Donath, S, et al.. Reference values for 30 common biochemistry analytes across 5 different analyzers in neonates and children 30 days to 18 years of age. Clin Chem 2019;65:1317–26. https://doi.org/10.1373/clinchem.2019.306431.Search in Google Scholar

21. Vesper, HW, Botelho, JC, Shacklady, C, Smith, A, Myers, GL. CDC project on standardizing steroid hormone measurements. Steroids 2008;73:1286–92. https://doi.org/10.1016/j.steroids.2008.09.008.Search in Google Scholar

22. Rosner, W, Hankinson, SE, Sluss, PM, Vesper, HW, Wierman, ME. Challenges to the measurement of estradiol: an endocrine society position statement. J Clin Endocrinol Metab 2013;98:1376–87. https://doi.org/10.1210/jc.2012-3780.Search in Google Scholar

23. Colapinto, CK, O’Connor, DL, Tremblay, MS. Folate status of the population in the Canadian health measures survey. Can Med Assoc J 2011;183:E100–6. https://doi.org/10.1503/cmaj.100568.Search in Google Scholar

24. Farrell, CJL, Kirsch, SH, Herrmann, M. Red cell or serum folate: what to do in clinical practice? Clin Chem Lab Med 2013:555–69.10.1515/cclm-2012-0639Search in Google Scholar PubMed

25. Bailey, LB, Stover, PJ, McNulty, H, Fenech, MF, Gregory, JF, Mills, JL, et al.. Biomarkers of nutrition for development-folate review. J Nutr 2015;145:1636S–80. https://doi.org/10.3945/jn.114.206599.Search in Google Scholar

26. Monsen, ALB, Refsum, H, Markestad, T, Ueland, PM. Cobalamin status and its biochemical markers methylmalonic acid and homocysteine in different age groups from 4 days to 19 years. Clin Chem 2003;49:2067–75. https://doi.org/10.1373/clinchem.2003.019869.Search in Google Scholar

27. Ispir, E, Serdar, MA, Ozgurtas, T, Gulbahar, O, Akln, KO, Yesildal, F, et al.. Comparison of four automated serum vitamin B12 assays. Clin Chem Lab Med 2015;53:1205–13. https://doi.org/10.1515/cclm-2014-0843.Search in Google Scholar

28. Vogeser, M, Lorenzl, S. Comparison of automated assays for the determination of vitamin B12 in serum. Clin Biochem 2007;40:1342–5. https://doi.org/10.1016/j.clinbiochem.2007.08.004.Search in Google Scholar

29. Siddappa, AM, Rao, R, Long, JD, Widness, JA, Georgieff, MK. The assessment of newborn iron stores at birth: a review of the literature and standards for ferritin concentrations. Neonatology 2007;92:73–82. https://doi.org/10.1159/000100805.Search in Google Scholar

30. Bradley, J, Leibold, EA, Harris, ZL, Wobken, JD, Clarke, S, Zumbrennen, KB, et al.. Influence of gestational age and fetal iron status on IRP activity and iron transporter protein expression in third-trimester human placenta. Am J Physiol Regul Integr Comp Physiol 2004;287. https://doi.org/10.1152/ajpregu.00525.2003.Search in Google Scholar

31. Larsson, SM, Hillarp, A, Hellström-Westas, L, Domellöf, M, Lundahl, T, Andersson, O. When age really matters; ferritin reference intervals during infancy revisited. Scand J Clin Lab Invest 2019;79:590–4. https://doi.org/10.1080/00365513.2019.1681028.Search in Google Scholar

32. Kristensen, GBB, Rustad, P, Berg, JP, Aakre, KM. Analytical bias exceeding desirable quality goal in 4 out of 5 common immunoassays: results of a native single serum sample external quality assessment program for cobalamin, folate, ferritin, thyroid-stimulating hormone, and free t4 analyses. Clin Chem 2016;62:1255–63. https://doi.org/10.1373/clinchem.2016.258962.Search in Google Scholar

33. Karakochuk, CD, Whitfield, KC, Rappaport, AI, Barr, SI, Vercauteren, SM, McLean, J, et al.. Comparison of four immunoassays to measure serum ferritin concentrations and iron deficiency prevalence among non-pregnant Cambodian women and Congolese children. Clin Chem Lab Med 2017;55:65–72. https://doi.org/10.1515/cclm-2016-0421.Search in Google Scholar

34. Wartofsky, L, Dickey, RA. The evidence for a narrower thyrotropin reference range is compelling. J Clin Endocrinol Metab 2005;90:5483–8. https://doi.org/10.1210/jc.2005-0455.Search in Google Scholar

35. Surks, MI, Goswami, G, Daniels, GH. The thyrotropin reference range should remain unchanged. J Clin Endocrinol Metab 2005;90:5489–96. https://doi.org/10.1210/jc.2005-0170.Search in Google Scholar

36. Garber, JR, Cobin, RH, Gharib, H, Hennessey, JV, Klein, I, Mechanick, JI, et al.. Clinical practice guidelines for hypothyroidism in adults: cosponsored by the American association of clinical endocrinologists and the American thyroid association. Thyroid 2012;22:1200–35. https://doi.org/10.1089/thy.2012.0205.Search in Google Scholar

37. Koulouri, O, Moran, C, Halsall, D, Chatterjee, K, Gurnell, M. Pitfalls in the measurement and interpretation of thyroid function tests. Best Pract Res Clin Endocrinol Metabol 2013;27:745–62. https://doi.org/10.1016/j.beem.2013.10.003.Search in Google Scholar

38. Hubner, U, Englisch, C, Werkmann, H, Butz, H, Georgs, T, Zabransky, S, et al.. Continuous age-dependent reference ranges for thyroid hormones in neonates, infants, children and adolescents established using the ADVIA Centaur Analyzer. Clin Chem Lab Med 2002;40:1040–7. https://doi.org/10.1515/cclm.2002.182.Search in Google Scholar

39. Kapelari, K, Kirchlechner, C, Högler, W, Schweitzer, K, Virgolini, I, Moncayo, R. Pediatric reference intervals for thyroid hormone levels from birth to adulthood: a retrospective study. BMC Endocr Disord 2008;8:15. https://doi.org/10.1186/1472-6823-8-15.Search in Google Scholar

40. Kuijper, Ea. M, Ket, JCF, Caanen, MR, Lambalk, CB. Reproductive hormone concentrations in pregnancy and neonates: a systematic review. Reprod Biomed Online 2013;27:33–63. https://doi.org/10.1016/j.rbmo.2013.03.009.Search in Google Scholar

41. Parikh, TP, Stolze, B, Ozarda, Y, Jonklaas, J, Welsh, K, Masika, L, et al.. Diurnal variation of steroid hormones and their reference intervals using mass spectrometric analysis. Endocr Connect 2018;7:1354–61. https://doi.org/10.1530/ec-18-0417.Search in Google Scholar

42. Ehrenkranz, J, Bach, PR, Snow, GL, Schneider, A, Lee, JL, Ilstrup, S, et al.. Circadian and circannual rhythms in thyroid hormones: determining the TSH and free T4 reference intervals based upon time of day, age, and sex. Thyroid 2015;25:954–61. https://doi.org/10.1089/thy.2014.0589.Search in Google Scholar

43. Tahmasebi, H, Asgari, S, Hall, A, Higgins, V, Chowdhury, A, Thompson, R, et al.. Influence of ethnicity on biochemical markers of health and disease in the CALIPER cohort of healthy children and adolescents. Clin Chem Lab Med 2020;58:605–17. https://doi.org/10.1515/cclm-2019-0876.Search in Google Scholar


Supplementary Material

The online version of this article offers supplementary material (https://doi.org/10.1515/cclm-2021-0050).


Received: 2021-01-12
Accepted: 2021-04-25
Published Online: 2021-05-07
Published in Print: 2021-07-27

© 2021 Walter de Gruyter GmbH, Berlin/Boston

Articles in the same Issue

  1. Frontmatter
  2. Editorial
  3. Kinetics and biological characteristics of humoral response developing after SARS-CoV-2 infection: implications for vaccination
  4. Reviews
  5. The impact of interventions applied in primary care to optimize the use of laboratory tests: a systematic review
  6. Circulating tumor DNA (ctDNA) as a pan-cancer screening test: is it finally on the horizon?
  7. Opinion Paper
  8. Performance specifications for measurement uncertainty of common biochemical measurands according to Milan models
  9. General Clinical Chemistry and Laboratory Medicine
  10. Activity-based cost analysis of laboratory tests in clinical chemistry
  11. Audit of sweat chloride testing reveals analytical errors
  12. Comparison of different algorithms in laboratory diagnosis of alpha1-antitrypsin deficiency
  13. Interpretable machine learning model to detect chemically adulterated urine samples analyzed by high resolution mass spectrometry
  14. Prognostic role of Krebs von den Lungen-6 (KL-6) measurement in idiopathic pulmonary fibrosis: a systematic review and meta-analysis
  15. Evaluating chronic kidney disease in rural South Africa: comparing estimated glomerular filtration rate using point-of-care creatinine to iohexol measured GFR
  16. Reference Values and Biological Variations
  17. Pediatric reference intervals for endocrine markers and fertility hormones in healthy children and adolescents on the Siemens Healthineers Atellica immunoassay system
  18. Cardiovascular Diseases
  19. Independent and combined effects of biotin and hemolysis on high-sensitivity cardiac troponin assays
  20. Infectious Diseases
  21. Analytical and clinical performances of a SARS-CoV-2 S-RBD IgG assay: comparison with neutralization titers
  22. Clinical validation of the Siemens quantitative SARS-CoV-2 spike IgG assay (sCOVG) reveals improved sensitivity and a good correlation with virus neutralization titers
  23. Evaluation of the automated LIAISON® SARS-CoV-2 TrimericS IgG assay for the detection of circulating antibodies
  24. Lumipulse G SARS-CoV-2 Ag assay evaluation using clinical samples from different testing groups
  25. Letters to the Editors
  26. The impact of measurement uncertainty on the uncertainty of ordinal medical scores based on continuous quantitative laboratory results
  27. Effect of five different pneumatic tube carrier inserts on mechanical sample stress: a multicentre evaluation
  28. Critical role of pre-analytical aspects for the measurement of circulating calprotectin in serum or plasma as a biomarker for neutrophil-related inflammation
  29. Prospective serological evaluation of anti SARS-CoV-2 IgG and anti S1-RBD antibodies in a community outbreak
  30. Common laboratory tests as indicators of COVID-19 severity on admission at high altitude: a single-center retrospective study in Quito (ECUADOR)
  31. Protease-antiprotease imbalance in patients with severe COVID-19
  32. Iodine containing contrast media and urinary flow cytometry: an unknown interference in automated urine sediment analysis
  33. Prolymphocytic or Richter’s transformation of chronic lymphocytic leukemia?
  34. OGTT reproducibility in adults with impaired fasting glucose is nearly 65% with adoption of Italian SIBioC-SIPMeL recommendations
Downloaded on 23.5.2025 from https://www.degruyterbrill.com/document/doi/10.1515/cclm-2021-0050/html
Scroll to top button