Sharing reference intervals and monitoring patients across laboratories – findings from a likely commutable external quality assurance program
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Christopher J.L. Farrell
, Graham R.D. Jones
, Peter Graham
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.
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Research ethics: Not applicable.
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Informed consent: Not applicable.
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Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Competing interests: The authors state no conflict of interest.
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Research funding: None declared.
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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).
© 2024 Walter de Gruyter GmbH, Berlin/Boston
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Artikel in diesem Heft
- Frontmatter
- Editorial
- Six years of progress – highlights from the IFCC Emerging Technologies Division
- IFCC Papers
- Skin in the game: a review of single-cell and spatial transcriptomics in dermatological research
- Bilirubin measurements in neonates: uniform neonatal treatment can only be achieved by improved standardization
- Validation and verification framework and data integration of biosensors and in vitro diagnostic devices: a position statement of the IFCC Committee on Mobile Health and Bioengineering in Laboratory Medicine (C-MBHLM) and the IFCC Scientific Division
- Linearity assessment: deviation from linearity and residual of linear regression approaches
- HTA model for laboratory medicine technologies: overview of approaches adopted in some international agencies
- Considerations for applying emerging technologies in paediatric laboratory medicine
- A global perspective on the status of clinical metabolomics in laboratory medicine – a survey by the IFCC metabolomics working group
- The LEAP checklist for laboratory evaluation and analytical performance characteristics reporting of clinical measurement procedures
- General Clinical Chemistry and Laboratory Medicine
- Assessing post-analytical phase harmonization in European laboratories: a survey promoted by the EFLM Working Group on Harmonization
- Potential medical impact of unrecognized in vitro hypokalemia due to hemolysis: a case series
- Quantification of circulating alpha-1-antitrypsin polymers associated with different SERPINA1 genotypes
- Targeted ultra performance liquid chromatography tandem mass spectrometry procedures for the diagnosis of inborn errors of metabolism: validation through ERNDIM external quality assessment schemes
- Improving protocols for α-synuclein seed amplification assays: analysis of preanalytical and analytical variables and identification of candidate parameters for seed quantification
- Evaluation of analytical performance of AQUIOS CL flow cytometer and method comparison with bead-based flow cytometry methods
- IgG and kappa free light chain CSF/serum indices: evaluating intrathecal immunoglobulin production in HIV infection in comparison with multiple sclerosis
- Reference Values and Biological Variations
- Reference intervals of circulating secretoneurin concentrations determined in a large cohort of community dwellers: the HUNT study
- Sharing reference intervals and monitoring patients across laboratories – findings from a likely commutable external quality assurance program
- Verification of bile acid determination method and establishing reference intervals for biochemical and haematological parameters in third-trimester pregnant women
- Confounding factors of the expression of mTBI biomarkers, S100B, GFAP and UCH-L1 in an aging population
- Cancer Diagnostics
- Exploring evolutionary trajectories in ovarian cancer patients by longitudinal analysis of ctDNA
- Diabetes
- Evaluation of effects from hemoglobin variants on HbA1c measurements by different methods
- Letters to the Editor
- Are there any reasons to use three levels of quality control materials instead of two and if so, what are the arguments?
- Issues for standardization of neonatal bilirubinemia: a case of delayed phototherapy initiation
- The routine coagulation assays plasma stability – in the wake of the new European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) biological variability database
- Improving HCV diagnosis following a false-negative anti-HCV result