Startseite Sharing reference intervals and monitoring patients across laboratories – findings from a likely commutable external quality assurance program
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Sharing reference intervals and monitoring patients across laboratories – findings from a likely commutable external quality assurance program

  • Christopher J.L. Farrell EMAIL logo , Graham R.D. Jones , Kenneth A. Sikaris , Tony Badrick ORCID logo , Peter Graham und Jonathan Bush
Veröffentlicht/Copyright: 5. März 2024
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Abstract

Objectives

Laboratory results are increasingly interpreted against common reference intervals (CRIs), published clinical decision limits, or previous results for the same patient performed at different laboratories. However, there are no established systems to determine whether current analytical performance justifies these interpretations. We analysed data from a likely commutable external quality assurance program (EQA) to assess these interpretations.

Methods

The use of CRIs was assessed by evaluating instrument group medians against minimum specifications for bias. The use of clinical decision limits was assessed using specifications from professional bodies, and the monitoring of patients by testing at different laboratories was assessed by comparing all-laboratory imprecision to within-subject biological variation.

Results

Five of the 18 analytes with Australasian CRIs did not meet specification for all instrument groups. Among these, calcium and magnesium failed for one instrument group out of seven, while bicarbonate, chloride, and lipase failed for two instrument groups. Of the 18 analytes reviewed currently without CRIs in Australasia, 10 candidates were identified. Among analytes with clinical decision limits, i.e. lipids, glucose, and vitamin D, only triglycerides met both bias and imprecision specifications, while vitamin D met the imprecision specification. Monitoring patients by testing at different laboratories was supported for 15 of the 46 (33 %) analyte-method principles groups that met minimum imprecision specifications.

Conclusions

Analysis of data from commutable EQA programs can provide a mechanism for monitoring whether analytical performance justifies the interpretations made in contemporary laboratory practice. EQA providers should establish systems for routinely providing this information to the laboratory community.


Corresponding author: Christopher J.L. Farrell, New South Wales Health Pathology, Liverpool Hospital, Level 1, Pathology Building, Cnr Forbes & Campbell St, Liverpool, NSW 2170, Australia, Phone: +61 2 8738 9875, E-mail:

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

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

  4. Competing interests: The authors state no conflict of interest.

  5. Research funding: None declared.

  6. Data availability: Not applicable.

References

1. Tate, JR, Sikaris, KA, Jones, GR, Yen, T, Koerbin, G, Ryan, J, et al.. Harmonising adult and paediatric reference intervals in Australia and New Zealand: an evidence-based approach for establishing a first panel of chemistry analytes. Clin Biochem Rev 2014;35:213–35.Suche in Google Scholar

2. Berg, J. The approach to pathology harmony in the UK. Clin Biochem Rev 2012;33:89–93.Suche in Google Scholar

3. Ferré-Masferrer, M, Fuentes-Arderiu, X, Alvarez-Funes, V, Güell-Miró, R, Castiñeiras-Lacambra, MJ. Multicentric reference values: shared reference limits. Eur J Clin Chem Clin Biochem 1997;35:715–8.Suche in Google Scholar

4. Rustad, P, Felding, P, Lahti, A, Hyltoft Petersen, P. Descriptive analytical data and consequences for calculation of common reference intervals in the Nordic Reference Interval Project 2000. Scand J Clin Lab Invest 2004;64:343–70. https://doi.org/10.1080/00365510410006306.Suche in Google Scholar PubMed

5. Koerbin, G, Tate, JR, Ryan, J, Jones, GR, Sikaris, KA, Kanowski, D, et al.. Bias assessment of general chemistry analytes using commutable samples. Clin Biochem Rev 2014;35:203–11.Suche in Google Scholar

6. Centers for Disease Control and Prevention. Certified LSP participants. https://www.cdc.gov/labstandards/csp/lsp_participants.html [Accessed 26 Oct 2023].Suche in Google Scholar

7. Centers for Disease Control and Prevention. Vitamin D standardization-certification program. https://www.cdc.gov/labstandards/csp/vdscp.html [Accessed 10 Dec 2023].Suche in Google Scholar

8. Sacks, DB, Arnold, M, Bakris, GL, Bruns, DE, Horvath, AR, Lernmark, Å, et al.. Guidelines and recommendations for laboratory analysis in the diagnosis and management of diabetes mellitus. Clin Chem 2023;69:808–68. https://doi.org/10.1093/clinchem/hvad080.Suche in Google Scholar PubMed

9. International Organization for Standardization. ISO 17043:2023. Conformity assessment – general requirements for the competency of proficiency testing providers. Geneva: ISO; 2023.Suche in Google Scholar

10. National Health and Medical Research Council. Ethical considerations in quality assurance and evaluation activities. https://www.nhmrc.gov.au/sites/default/files/documents/attachments/ethical-considerations-in-quality-assurance-and-evaluation-activites.pdf [Accessed 7 Jun 2023].Suche in Google Scholar

11. Koerbin, G, Tate, JR. Harmonising adult reference intervals in Australia and New Zealand – the continuing story. Clin Biochem Rev 2016;37:121–9.Suche in Google Scholar

12. Royal College of Pathologists of Australasia Standardised Pathology Informatics in Australia. https://www.rcpa.edu.au/getattachment/774177f4-a724-4adb-92b5-45769ef00e63/RCPA-SPIA-Chemical-Pathology-Harmonised-Reference.aspx [Accessed 9 Jun 2023].Suche in Google Scholar

13. Fraser, CG. Biological variation: from principles to practice. Washington (DC): AACC Press; 2001.Suche in Google Scholar

14. European Federation of Clinical Chemistry and Laboratory Medicine. EFLM biological variation database. https://biologicalvariation.eu/ [Accessed 1 Jun 2023].Suche in Google Scholar

15. Ricos, C, Alvarez, V, Cava, F, Garcia-Lario, JV, Hernandez, A, Jimenez, CV, et al.. Desirable biological variation database specifications. https://www.westgard.com/biodatabase1.htm [Accessed 1 Jun 2023].Suche in Google Scholar

16. Brokner, M, Hager, HB, Lindberg, M. Biological variation of holotranscobalamin and cobalamin in healthy individuals. Scand J Clin Lab Invest 2017;77:433–6. https://doi.org/10.1080/00365513.2017.1335881.Suche in Google Scholar PubMed

17. Centers for Disease Control and Prevention Cholesterol Reference Method Laboratory Network. Total glycerides certification protocol. https://www.cdc.gov/labstandards/csp/pdf/crmln/TG_Certification_Protocol-508.pdf [Accessed 11 Sep 2023].Suche in Google Scholar

18. Centers for Disease Control and Prevention Cholesterol Reference Method Laboratory Network. Total cholesterol certification protocol using TC-IDMS RMP. https://www.cdc.gov/labstandards/csp/pdf/crmln/tc_idms_crmln_cert_protocol-508.pdf [Accessed 11 Sep 2023].Suche in Google Scholar

19. Centers for Disease Control and Prevention Cholesterol Reference Method Laboratory Network. HDL cholesterol certification protocol for manufacturers. https://www.cdc.gov/labstandards/csp/pdf/crmln/HDL_Certification_Protocol-508.pdf [Accessed 11 Sep 2023].Suche in Google Scholar

20. Centers for Disease Control and Prevention National Reference System for Cholesterol Reference Method Laboratory Network. LDL cholesterol certification protocol for manufacturers. https://www.cdc.gov/labstandards/pdf/crmln/MFRLDLJune2006final.pdf [Accessed 11 Sep 2023].Suche in Google Scholar

21. Centers for Disease Control and Prevention. Participant protocol for vitamin D standardization-certification program. https://www.cdc.gov/labstandards/csp/pdf/hs/Vitamin_D_Protocol-508.pdf [Accessed 11 Sept 2023].Suche in Google Scholar

22. Farrell, CJ. Liquid serum chemistry analysis. https://cj-farrell.shinyapps.io/LSC_Review/ [Accessed 9 Sep 2023].Suche in Google Scholar

23. Cuhadar, S, Koseoglu, M, Atay, A, Dirican, A. The effect of storage time and freeze-thaw cycles on the stability of serum samples. Biochem Med 2013;23:70–7. https://doi.org/10.11613/bm.2013.009.Suche in Google Scholar PubMed PubMed Central

24. Gislefoss, RE, Lauritzen, M, Langseth, H, Mørkrid, L. Effect of multiple freeze-thaw cycles on selected biochemical serum components. Clin Chem Lab Med 2017;55:967–73. https://doi.org/10.1515/cclm-2016-0892.Suche in Google Scholar PubMed

25. Korzun, WJ, Nilsson, G, Bachmann, LM, Myers, GL, Sakurabayashi, I, Nakajima, K, et al.. Difference in bias approach for commutability assessment: application to frozen pools of human serum measured by 8 direct methods for HDL and LDL cholesterol. Clin Chem 2015;61:1107–13. https://doi.org/10.1373/clinchem.2015.240861.Suche in Google Scholar PubMed

26. Thienpont, LM, Van Uytfanghe, K, Marriott, J, Stokes, P, Siekmann, L, Kessler, A, et al.. Feasibility study of the use of frozen human sera in split-sample comparison of immunoassays with candidate reference measurement procedures for total thyroxine and total triiodothyronine measurements. Clin Chem 2005;51:2303–11. https://doi.org/10.1373/clinchem.2005.058180.Suche in Google Scholar PubMed

27. Clinical and Laboratory Standards Institute. Preparation and validation of commutable frozen human serum pools as secondary reference materials for cholesterol measurement procedures, approved guideline. CLSI document C37-A. Wayne, PA: Clinical and Laboratory Standards Institute; 1999.Suche in Google Scholar

28. Danilenko, U, Vesper, HW, Myers, GL, Clapshaw, PA, Camara, JE, Miller, WG. An updated protocol based on CLSI document C37 for preparation of off-the-clot serum from individual units for use alone or to prepare commutable pooled serum reference materials. Clin Chem Lab Med 2020;58:368–74. https://doi.org/10.1515/cclm-2019-0732.Suche in Google Scholar PubMed PubMed Central

29. Ortho-Clinical Diagnostics. Instructions for use: vitros chemistry products LDHI slides. Version 3.0, Pub No. J56073_EN. Rochester, NY: Ortho-Clinical Diagnostics; 2019.Suche in Google Scholar

30. Beckman Coulter. AU/DxC AU instructions for use: lactate dehydrogenase. Document BLOSR6X26EU 01. Brea, CA: Beckman Coulter; 2022.Suche in Google Scholar

31. Bonini, P, Plebani, M, Ceriotti, F, Rubboli, F. Errors in laboratory medicine. Clin Chem 2002;48:691–8. https://doi.org/10.1093/clinchem/48.5.691.Suche in Google Scholar

32. Carraro, P, Plebani, M. Errors in a stat laboratory: types and frequencies 10 years later. Clin Chem 2007;53:1338–42. https://doi.org/10.1373/clinchem.2007.088344.Suche in Google Scholar PubMed


Supplementary Material

This article contains supplementary material (https://doi.org/10.1515/cclm-2024-0041).


Received: 2024-01-11
Accepted: 2024-02-19
Published Online: 2024-03-05
Published in Print: 2024-09-25

© 2024 Walter de Gruyter GmbH, Berlin/Boston

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