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Quality controls for serology: an unfinished agenda

  • Claudio Galli and Mario Plebani ORCID logo EMAIL logo
Published/Copyright: April 10, 2020

The quality control process (QC), both as internal quality control (IQC) and external quality assessment programs, is a must for clinical laboratories to guarantee consistency and accuracy of results. While QC procedures are well established for clinical chemistry and most immunochemistry analyses that provide a quantitative measurement, assays employed for the serological testing of infectious diseases pose several challenges. First, in this field, a true quantitation is hard to achieve. Most assays are qualitative and results are expressed as positive or negative by comparing the signal generated to a threshold value, alternatively called “cutoff”. Secondly, whenever a quantitative result is provided – usually for antibodies – a true quantitation is disputable. Even in case a reference standard and International Units (IU) are available for reporting results, assays may differ in composition – use of different antigens or of similar antigens with different expression – in assay kinetics and in signal generation. A classic example comes from IgG antibodies to Rubella virus: most assays are calibrated by (or against?) the WHO reference standard and the “protective” threshold is set at 10 IU/mL [1], but the absolute values may differ by 10-fold or more among different assays [2].

Finally, antibody assays are detecting the relative affinity to specific antigenic epitopes and thus the signal generated is deeply influenced by the stage of infection: a lower signal may be generated in the late stages or in chronic infections that are under control by the immune system, with only a few active clones releasing antibodies with high affinity, as well as in acute/recent infections when circulating antibodies have a low affinity, though the absolute number of activated clones may be higher.

Despite these limitations, QC schemes for serology are in place and the results are evaluated according to the same rules that apply to other immunometric assays [3], with a few differences [4]. In the current issue of the Journal, Dimech et al. [5] bring up a substantial contribution to this field by highlighting the relevance of an eventual shift in EQC values linked to reagent lot changes, reporting how such a change did affect a widespread assay for the detection of antibodies directed to the hepatitis C virus (HCV). The evidences brought up by those authors are of actual relevance in two different levels, one pertaining to the analytical environment and the other on the clinical side. The analytical issues are described keenly: a change in the reagent lot of the Abbott ARCHITECT assay for anti-HCV resulted in a downward shift of the low-level QC sample employed. The basic questions they tried to answer concern the amount of QC reactivity change and on this purpose, they have compared affected and unaffected reagent lots’ reactivity of EQA scheme samples. A lower reactivity by the affected lots was found on almost all samples, and by one affected lot the result was below the reactivity threshold on four specimens.

The second question, and possibly the most relevant one, is how much change is allowed before there is an increased probability of reporting an incorrect clinical result. This has been addressed by analyzing the effect of this change of reactivity on early seroconversion samples on two different sets. Results not lower than the cutoff value have been recorded on four samples in the first set, and in none on the second set, though several specimens gave results lower than 2.0 times the cutoff on both affected and unaffected lots. According to the CLSI EP23A guideline, risk assessment depends on a two-factor model that includes the probability of occurrence of harm and the severity of harm [6].

In this perspective, Dimech et al. correctly indicate that the occurrence of a false-negative result for anti-HCV in a diagnostic setting is unlikely, as there is a very low chance of obtaining a sample during the time span when the sample to cutoff value is between 1.0 and 2.0. It shall also be mentioned that the current standard for the laboratory diagnosis of acute HCV is an HCV antibody seroconversion (negative HCV antibody test before a suspected exposure and a positive antibody test following potential exposure), combined with a positive HCV RNA test and elevated alanine aminotransferase (ALT). In blood donation screening setting the false negativity may bear a higher risk, which is mitigated by the additional pre-donation procedures and the addition of nucleic acid testing. This paper emphasizes the need to move toward a better harmonization of procedures and processes adopted by clinical laboratories working in different fields of laboratory medicine [7], [8]. It is time to review procedures and processes adopted for QC not only in clinical chemistry but in all other fields of laboratory medicine, including microbiology and point-of-care testing (POCT). The consolidation of different specialties and analytical techniques in clinical laboratories answers physicians’ and patients’ need to receive a unique and harmonized laboratory report with results from clinical chemistry, hematology, coagulation, molecular diagnostics and microbiological-virological tests [9]. Technological improvements based on common analytical platforms and advanced informatics tools facilitate this process, but more efforts are requested to laboratory professionals as appropriate and accurate rules for QC are needed to ensure reliability and accuracy to laboratory information.

  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.

References

1. Skendzel LP, Carski T, Herrmann K, Kiefer DJ, Namamura R, Nutter C, et al. Evaluation of performance criteria for multiple component test products intended for the detection and quantification of Rubella IgG antibody, NCCLS Document 12. Wayne, PA: National Committee for Clinical Laboratory Standards, 1992.Search in Google Scholar

2. Valoup-Fellous C. Standardization of rubella immunoassays. J Clin Virol 2018;102;34–8.10.1016/j.jcv.2018.02.006Search in Google Scholar PubMed

3. CLSI C24A3. Statistical quality control for quantitative measurement procedures. Wayne, PA: Clinical and Laboratory Standards Institute, 2006.Search in Google Scholar

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5. Dimech WJ, Vincini GA, Cabuang LM, Wieringa M. Does a change in quality control results influence the sensitivity of an anti-HCV test? Clin Chem Lab Med 2020;58:1372–80.10.1515/cclm-2020-0031Search in Google Scholar PubMed

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Published Online: 2020-04-10
Published in Print: 2020-07-28

©2020 Walter de Gruyter GmbH, Berlin/Boston

Articles in the same Issue

  1. Frontmatter
  2. Editorial
  3. Quality controls for serology: an unfinished agenda
  4. A modern and pragmatic definition of Laboratory Medicine
  5. Reviews
  6. Blood biochemical characteristics of patients with coronavirus disease 2019 (COVID-19): a systemic review and meta-analysis
  7. ISO/TS 20914:2019 – a critical commentary
  8. Mini Review
  9. Reporting of D-dimer data in COVID-19: some confusion and potential for misinformation
  10. Opinion Paper
  11. Implementation of metrological traceability in laboratory medicine: where we are and what is missing
  12. IFCC Recommendation
  13. Recommendation for performance verification of patient-based real-time quality control
  14. Genetics and Molecular Diagnostics
  15. Comparison of BCR-ABL1 quantification in peripheral blood and bone marrow using an International Scale-standardized assay for assessment of deep molecular response in chronic myeloid leukemia
  16. General Clinical Chemistry and Laboratory Medicine
  17. Risk assessment of the total testing process based on quality indicators with the Sigma metrics
  18. Determination of hemolysis cut-offs for biochemical and immunochemical analytes according to their value
  19. A computer model for professional competence assessment according to ISO 15189
  20. Traceability validation of six enzyme measurements on the Abbott Alinity c analytical system
  21. Evaluating the need for free glycerol blanking for serum triglyceride measurements at Charlotte Maxeke Johannesburg Academic Hospital
  22. Challenges of LC-MS/MS ethyl glucuronide analysis in abstinence monitoring of liver transplant candidates
  23. Changes in the result of antinuclear antibody immunofluorescence assay on HEp-2 cells reflect disease activity status in systemic lupus erythematosus
  24. Reference Values and Biological Variations
  25. Long-term biological variation estimates of 13 hematological parameters in healthy Chinese subjects
  26. Age-specific reference values improve the diagnostic performance of AMH in polycystic ovary syndrome
  27. Establishment of reference intervals for immunoassay analytes of adult population in Saudi Arabia
  28. Hematology and Coagulation
  29. Total haemoglobin – a reference measuring system for improvement of standardisation
  30. Laboratory testing for activated protein C resistance: rivaroxaban induced interference and a comparative evaluation of andexanet alfa and DOAC Stop to neutralise interference
  31. Cancer Diagnostics
  32. Identification of a four-gene methylation biomarker panel in high-grade serous ovarian carcinoma
  33. Performance comparison of two next-generation sequencing panels to detect actionable mutations in cell-free DNA in cancer patients
  34. Diabetes
  35. Availability and analytical quality of hemoglobin A1c point-of-care testing in general practitioners’ offices are associated with better glycemic control in type 2 diabetes
  36. Infectious Diseases
  37. Validation of a chemiluminescent assay for specific SARS-CoV-2 antibody
  38. Dynamic profile and clinical implications of hematological parameters in hospitalized patients with coronavirus disease 2019
  39. Does a change in quality control results influence the sensitivity of an anti-HCV test?
  40. Letters to the Editor
  41. Variability between testing methods for SARS-CoV-2 nucleic acid detection 16 days post-discharge: a case report
  42. L-index, more than a screening tool for hypertriglyceridemia
  43. Neutralization of biotin interference: preliminary evaluation of the VeraTest Biotin™, VeraPrep Biotin™ and BioT-Filter®
  44. Counting and reporting band count is unreliable practice due to the high inter-observer variability
  45. Cigarette smoking prior to blood sampling acutely affects serum levels of the chronic obstructive pulmonary disease biomarker surfactant protein D
  46. How reliable is the detection of anti-mitochondrial antibodies on murine triple-tissue?
  47. Further advices on measuring lipoprotein(a) for reducing the residual cardiovascular risk on statin therapy
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