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Comparative study of human growth hormone measurements: impact on clinical interpretation

  • Manuela Lotierzo ORCID logo EMAIL logo , Florin Olaru-Soare , Anne-Marie Dupuy , Maëlle Plawecki , Françoise Paris and Jean-Paul Cristol
Published/Copyright: December 2, 2021

Abstract

Objectives

Human growth hormone (hGH) provocation test is an essential tool to assess growth hormone deficiency (GHD) in children and young adults. It is important to have a robust method to determine the hGH peak of stimulation. This work aimed to compare three common automated immunoassays for hGH quantification and to ascertain whether there are still result-related differences which can impact clinical decision.

Methods

We analyzed the GH provocation test for 39 young subjects from pediatric department of Montpellier hospital, admitted for suspicion of growth hormone deficiency. The full range of measurements as well as the peak level of serum GH were compared using three automated immunoassays on three different immunoanalyzers: IDS-hGH on iSYS, LIAISON-hGH on Liaison XL and Elecsys ROCHE-hGH, on COBAS 8000.

Results

A good correlation was obtained between methods for all measurements (r2>0.99) by using Passing–Bablok regression analysis. Bland–Altman analysis showed the best agreement between IDS-hGH and LIAISON-hGH systems (bias=−14.5%) compared to Elecsys ROCHE-hGH (bias=28.3%). When considering stratification of the study population and a unique cutoff, there were some discrepancies in interpretation of the results especially concerning the more recent Elecsys ROCHE-hGH assay. Nevertheless, when the adequate cutoff for each method was taken into account results were well correlated for all systems.

Conclusions

A cutoff for Elecsys Roche-hGH method was established to better explain the results. Clinician must be aware of the use of assay-specific cutoff to correctly integrate the results of GH tests in the GHD diagnosis.


Corresponding author: Manuela Lotierzo, Département de Biochimie, Hormonologie, Hôpital Lapeyronie-CHRU Montpellier, 191, Avenue du Doyen Gaston Giraud, 34295 Montpellier Cedex 5, France; Département de Biochimie et Hormonologie, Centre de Ressources Biologiques, CHU de Montpellier, Montpellier, France; and Département de Biochimie et Hormonologie, PhyMedExp, Université de Montpellier, INSERM, CNRS, Centre de Ressources Biologiques, CHU de Montpellier, Montpellier, France, E-mail:

Acknowledgments

We are grateful to Roche Diagnostics, Diasorin S.A. and IDS immunodiagnostic systems companies for kindly providing reagents and calibrants.

  1. Research funding: This research did not receive any specific grant from funding agencies in the public, commercial, or not-profit sectors.

  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: The study protocol was approved by the local Ethics Committee of Montpellier university hospital (IRB ID: 202000578 and registered to ClinicalTrials.gov (identifier: NCT04508673).

References

1. Growth Hormone Research S. Consensus guidelines for the diagnosis and treatment of growth hormone (GH) deficiency in childhood and adolescence: summary statement of the GH Research Society. GH Research Society. J Clin Endocrinol Metab 2000;85:3990–3. https://doi.org/10.1210/jcem.85.11.6984.Search in Google Scholar

2. Rakover, Y, Lavi, I, Masalah, R, Issam, T, Weiner, E, Ben-Shlomo, I. Comparison between four immunoassays for growth hormone (GH) measurement as guides to clinical decisions following GH provocative tests. J Pediatr Endocrinol Metab 2000;13:637–43. https://doi.org/10.1515/jpem.2000.13.6.637.Search in Google Scholar

3. Carrozza, C, Lapolla, R, Canu, G, Annunziata, F, Torti, E, Baroni, S, et al.. Human growth hormone (GH) immunoassay: standardization and clinical implications. Clin Chem Lab Med 2011;49:851–3. https://doi.org/10.1515/CCLM.2011.138.Search in Google Scholar

4. Grimberg, A, DiVall, SA, Polychronakos, C, Allen, DB, Cohen, LE, Quintos, JB, et al.. Guidelines for growth hormone and insulin-like growth factor-I treatment in children and adolescents: growth hormone deficiency, idiopathic short stature, and primary insulin-like growth factor-I deficiency. Horm Res Paediatr 2016;86:361–97. https://doi.org/10.1159/000452150.Search in Google Scholar

5. Bayle, M, Chevenne, D, Dousset, B, Lahlou, N, Le Bouc, Y, Massart, C, et al.. Recommendations for the standardization of growth hormone assays. Ann Biol Clin (Paris) 2004;62:155–63.Search in Google Scholar

6. Clemmons, DR. Consensus statement on the standardization and evaluation of growth hormone and insulin-like growth factor assays. Clin Chem 2011;57:555–9. https://doi.org/10.1373/clinchem.2010.150631.Search in Google Scholar

7. Wagner, IV, Paetzold, C, Gausche, R, Vogel, M, Koerner, A, Thiery, J, et al.. Clinical evidence-based cutoff limits for GH stimulation tests in children with a backup of results with reference to mass spectrometry. Eur J Endocrinol 2014;171:389–97. https://doi.org/10.1530/eje-14-0165.Search in Google Scholar

8. PA. W. Clinical and Laboratory Standards Institute (CLSI). User verification of precision and estimation of bias; approved guideline-3rd ed. CLSI document EP15-A3 2014; 2014.Search in Google Scholar

9. Journois, D. Concordance between two variables: graphical approach (Bland and Altman’s method). Rev Mal Respir 2004;21:127–30. https://doi.org/10.1016/s0761-8425(04)71243-7.Search in Google Scholar

10. Muller, A, Scholz, M, Blankenstein, O, Binder, G, Pfaffle, R, Korner, A, et al.. Harmonization of growth hormone measurements with different immunoassays by data adjustment. Clin Chem Lab Med 2011;49:1135–42. https://doi.org/10.1515/CCLM.2011.201.Search in Google Scholar PubMed

11. Ross, HA, Lentjes, EW, Menheere, PM, Sweep, CG. Endocrinology S, project group “Calibration” of the S. Harmonization of growth hormone measurement results: the empirical approach. Clin Chim Acta 2014;432:72–6. https://doi.org/10.1016/j.cca.2014.01.008.Search in Google Scholar PubMed

12. Hauffa, BP, Lehmann, N, Bettendorf, M, Mehls, O, Dorr, HG, Partsch, CJ, et al.. Central reassessment of GH concentrations measured at local treatment centers in children with impaired growth: consequences for patient management. Eur J Endocrinol 2004;150:291–7. https://doi.org/10.1530/eje.0.1500291.Search in Google Scholar PubMed

13. Ribeiro de Oliveira Longo Schweizer, J, Ribeiro-Oliveira, AJr., Bidlingmaier, M. Growth hormone: isoforms, clinical aspects and assays interference. Clin Diabetes Endocrinol 2018;4:18. https://doi.org/10.1186/s40842-018-0068-1.Search in Google Scholar PubMed PubMed Central


Supplementary Material

The online version of this article offers supplementary material (https://doi.org/10.1515/cclm-2021-1109).


Received: 2020-09-15
Accepted: 2021-11-23
Published Online: 2021-12-02
Published in Print: 2022-01-27

© 2021 Walter de Gruyter GmbH, Berlin/Boston

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