To the Editor,
Quality control (QC) materials are essential in laboratory medicine to ensure the accuracy and reliability of patient test results. They help to monitor the performance of laboratory instruments, reagents, and personnel over time. QC materials come in different levels, typically categorized as two (low and high) or three (low, medium, and high). The choice between two or three levels depends on various factors, and both options have their own advantages and limitations [1].
Using two levels of QC materials (low and high) will have the advantages of (i) simplicity (two-level QC material is straightforward and easier to manage), (ii) cost-effectiveness (needs fewer QC materials and resources), and (iii) rapid assessment (provides a basic check of instrument and test system performance).
On the other hand, disadvantages are (i) less complete information (it may not detect certain issues, such as shifts or trends within a larger analytical range as would be allowed using one additional level of QC), and (ii) lower precision (two-level QC will provide as much granularity for identifying minor deviations throughout the analytical process).
Using three levels of QC materials (low, medium and high) will instead have the advantages of (i) higher sensitivity (three-level QC allows for better detection of shifts, trends, or issues throughout the analytical range of measurements), (ii) enhanced troubleshooting (helps pinpoint the source of errors more precisely), and (iii) improved risk assessment (provides a more comprehensive picture of the overall test system performance). Nonetheless, the disadvantages would be (i) complexity (managing three levels of QC material can be more challenging in terms of logistics, costs, and personnel time), and (incremental cost requires more QC materials and resources, especially reagents, compared to two-level QC materials).
In our view, the decision between two or three levels of QC depends on several factors, including clinical significance (consider the clinical impact of errors in test results; for tests with critical clinical impact, a more comprehensive three-level QC may be preferred and therefore part of routine testing), regulatory requirements (regulatory bodies, such as the Clinical Laboratory Improvement Amendments (CLIA) in the US, may specify required QC procedures for certain tests), laboratory resources (budget, personnel, and QC materials; laboratories with limited resources may opt for two-level QC materials), and test complexity (some tests are more prone to error or drift over time; complex tests may benefit from a more extensive QC scheme).
In summary, the choice between two or three levels of quality control materials in laboratory medicine depends on a combination of clinical, regulatory, resource, and test-specific factors. Laboratories should carefully consider their needs and select the appropriate QC strategy to ensure the accuracy and reliability of their test results, while considering practical limitations. A typical example for using a three levels QC material is cardiac troponin testing, as it is necessary to use a specific control material with concentration close to the limit of quantitation, along with two other levels with concentrations close to the upper reference limit (URL) and to the upper part of the measuring range [2].
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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. OS/GL conceptualization, writing original draft preparation, writing reviewing and editing.
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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. Wolek, T, Nascimento, A. Quality control levels – keys to determine how many levels of QC to implement. Adv Lab 2015;24:34–6.Suche in Google Scholar
2. Hickman, PE, Koerbin, G, Badrick, T, Oakman, C, Potter, JM. The importance of low level QC for high sensitivity troponin assays. Clin Biochem 2018;58:60–3. https://doi.org/10.1016/j.clinbiochem.2018.05.007.Suche in Google Scholar PubMed
© 2024 the author(s), published by De Gruyter, Berlin/Boston
This work is licensed under the Creative Commons Attribution 4.0 International License.
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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
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