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Moving from the second to the third generation Roche PTH assays: what are the consequences for clinical practice?

  • Anne Marie Dupuy , Anne Sophie Bargnoux , Marion Morena , Emilie Lauret , Jean Claude Souberbielle , Etienne Cavalier and Jean Paul Cristol EMAIL logo
Published/Copyright: September 5, 2018

Abstract

Background

The determination of parathyroid hormone (PTH) is essential for exploring phosphocalcic disorders especially in patients with renal failure. At present, second or third generation PTH assays are available on the market from Roche Diagnostics as well as from others companies but the lack of standardization has complicated the interpretation.

Methods

We wanted to assess the clinical impact by measuring the PTH levels with the two generations concomitantly on different groups of populations including 46 healthy, 103 pre-dialyzed and 73 hemodialyzed (HD) patients.

Results

In healthy subjects, the PTH concentrations were not different whatever the generation used, whereas beyond 200 pg/mL, we reported an overestimation of the second generation PTH. In patients with chronic kidney disease (CKD) stage 3–5 the observed differences between the two generations increase with increasing PTH levels and decreasing glomerular filtration rate (GFR). Classification according to the kidney disease: improving global outcomes (KDIGO) revealed a high percentage of discordant results between the two generations (κ coefficient <0.20). These discrepancies are clinically relevant as PTH levels remain the cornerstone for diagnosis and treatment of the CKD-mineral and bone disorder (CKD-MBD).

Conclusions

The introduction of a new PTH assay generation in clinical practice should be carried out with caution.

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

  2. Research funding: None declared.

  3. Employment or leadership: None declared.

  4. Honorarium: None declared.

  5. Competing interests: The funding organization(s) played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.

References

1. Sturgeon CM, Sprague S, Almond A, Cavalier E, Fraser WD, Algeciras-Schimnich A, et al. IFCC Working Group for PTH. Perspective and priorities for improvement of parathyroid hormone (PTH) measurement – a view from the IFCC Working Group for PTH. Clin Chim Acta 2017;467:42–7.10.1016/j.cca.2016.10.016Search in Google Scholar PubMed PubMed Central

2. Hecking M, Kainz A, Bielesz B, Plischke M, Beilhack G, Hörl WH, et al. Clinical evaluation of two novel biointact PTH(1-84) assays in hemodialysis patients. Clin Biochem 2012;45:1645–51.10.1016/j.clinbiochem.2012.08.006Search in Google Scholar PubMed

3. Gannagé-Yared MH, Farès C, Ibrahim T, Rahal ZA, Elias M, Chelala D. Comparison between a second and a third generation parathyroid hormone assay in hemodialysis patients. Metabolism 2013;62:1416–22.10.1016/j.metabol.2013.05.007Search in Google Scholar PubMed

4. O’Flaherty D, Sankaralingam A, Scully P, Manghat P, Goldsmith D, Hampson G. The relationship between intact PTH and biointact PTH (1-84) with bone and mineral metabolism in pre-dialysis chronic kidney disease (CKD). Clin Biochem 2013;46:1405–9.10.1016/j.clinbiochem.2013.06.023Search in Google Scholar PubMed

5. Tan K, Ong L, Sethi SK, Saw S. Comparison of the Elecsys PTH(1-84) assay with four contemporary second generation intact PTH assays and association with other biomarkers in chronic kidney disease patients. Clin Biochem 2013;46:781–6.10.1016/j.clinbiochem.2013.01.016Search in Google Scholar PubMed

6. Cavalier E, Betea D, Schleck ML, Gadisseur R, Vroonen L, Delanaye P, et al. The third/second generation PTH assay ratio as a marker for parathyroid carcinoma: evaluation using an automated platform. J Clin Endocrinol Metab 2014;99:E453–7.10.1210/jc.2013-3730Search in Google Scholar PubMed

7. Cavalier E, Delanaye P, Lukas P, Carlisi A, Gadisseur R, Souberbielle JC. Standardization of DiaSorin and Roche automated third generation PTH assays with an International Standard: impact on clinical populations. Clin Chem Lab Med 2014;52:1137–41.10.1515/cclm-2013-1027Search in Google Scholar PubMed

8. Bonanséa TC, Ohe MN, Brandão C, Ferrer CF, Santos LM, Lazaretti-Castro M, et al. Experience with a third-generation parathyroid hormone assay (BIO-PTH) in the diagnosis of primary hyperparathyroidism in a Brazilian population. Arch Endocrinol Metab 2016;60:420–5.10.1590/2359-3997000000183Search in Google Scholar PubMed

9. Einbinder Y, Benchetrit S, Golan E, Zitman-Gal T. Comparison of intact PTH and bio-intact PTH assays among non-dialysis dependent chronic kidney disease patients. Ann Lab Med 2017;37:381–7.10.3343/alm.2017.37.5.381Search in Google Scholar PubMed PubMed Central

10. Cavalier E, Salsé M, Dupuy AM, Bargnoux AS, Watar F, Souberbielle JC, et al. Establishment of reference values in a healthy population and interpretation of serum PTH concentrations in hemodialyzed patients according to the KDIGO Guidelines using the Lumipulse® G whole PTH (3rd generation) assay. Clin Biochem 2018;54:119–22.10.1016/j.clinbiochem.2018.02.019Search in Google Scholar PubMed

11. Bland JM, Altman DG. Measuring agreement in method comparison studies. Stat Methods Med Res 1999;8:135–60.10.1177/096228029900800204Search in Google Scholar

12. London G, Coyne D, Hruska K, Malluche HH, Martin KJ. The new kidney disease: improving global outcomes (KDIGO) guidelines – expert clinical focus on bone and vascular calcification. Clin Nephrol 2010;74:423–32.Search in Google Scholar

13. Moe SM, Drüeke TB, Block GA, Cannata-Andía JB, Elder GJ, Fukagawa M, et al. KDIGO clinical practice guideline for the diagnosis, evaluation, prevention and treatment of chronic kidney disease mineral and bone disorder (CKD-MBD). Kidney Int 2009;76:S1–28.Search in Google Scholar

14. Guggenmoos-Holzman I. The meaning of kappa: probabilistic concepts of reliability and validity revisited. J Clin Epidemiol 1996;49:775–82.10.1016/0895-4356(96)00011-XSearch in Google Scholar

15. KDIGO 2017 Clinical Practice Guideline Update for the Diagnosis, Evaluation, Prevention, and Treatment of Chronic Kidney Disease-Mineral and Bone Disorder (CKD-MBD). Kidney International Supplements 2017;7:1–59.10.1016/j.kisu.2017.04.001Search in Google Scholar PubMed PubMed Central

16. Gardham C, Stevens PE, Delaney MP, LeRoux M, Coleman A, Lamb EJ. Variability of parathyroid hormone and other markers of bone mineral metabolism in patients receiving hemodialysis. Clin J Am Soc Nephrol 2010;5:1261–7.10.2215/CJN.09471209Search in Google Scholar PubMed PubMed Central

Received: 2018-03-20
Accepted: 2018-07-06
Published Online: 2018-09-05
Published in Print: 2018-12-19

©2019 Walter de Gruyter GmbH, Berlin/Boston

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