Home Integrating quality assurance in autoimmunity: the changing face of the automated ANA IIF test
Article
Licensed
Unlicensed Requires Authentication

Integrating quality assurance in autoimmunity: the changing face of the automated ANA IIF test

  • Lieve Van Hoovels EMAIL logo , Xavier Bossuyt , Mariangela Manfredi , Valentina Grossi , Maurizio Benucci , Stefanie Van Den Bremt , Heidi De Baere , Daria Franceschi , Emiliano Tosi , Marco Meoni , Nicola Bizzaro and Maria Infantino
Published/Copyright: February 17, 2021

Abstract

Objectives

Currently available computer-aided diagnosis (CAD) systems for the detection of anti-nuclear antibodies (ANA) by indirect immunofluorescence (IIF) assay enable a standardized measurement of system-specific fluorescent intensity (FI) measures. We aimed to evaluate an internal quality control (iQC) program that controls the total ANA IIF process in routine practice.

Methods

In addition to the kit iQC materials, supplemental quality indicators were integrated in a total quality assurance (QA) program: patient-derived iQC’s samples (negative, 1/160 fine speckled and 1/160 homogeneous), median sample FI per run and percentage of ANA IIF positive samples per run. Analytical rejection criteria were based on the imprecision of the positivity index (PI) measure of the Zenit PRO system (Menarini). Clinical rejection criteria were based on changes in FI that correspond to a change in ANA IIF titer of ≥2. To evaluate the QA program, different artificial errors were introduced during the ANA IIF process. After every run, quality indicators were evaluated and compared to the pre-set target values.

Results

Rescanning the ANA IIF slides five times, using an old conjugate and a needle obstruction resulted in analytically and even clinically relevant errors in ANA IIF results. All errors were correctly detected by the different defined quality indicators. Traditional Westgard rules, including analytically (and clinically) defined rejection limits were useful in monitoring quality indicators.

Conclusions

The integration of a total process iQC program in CAD systems, based on the specific FI measurands and performance criteria of the system, adds value to QA.


Corresponding author: Lieve Van Hoovels, Department of Laboratory Medicine, OLV Hospital, Aalst, Belgium; and Department of Microbiology and Immunology, KU Leuven, Leuven, Belgium, E-mail:

Acknowledgments

We gratefully acknowledge lab technicians of OLV Hospital Aalst for their practical support and the colleagues of ASZ Aalst for the preliminary testing of the ANA IIF samples on their Zenit PRO instrument.

  1. Research funding: None declared.

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

  3. Competing interests: Heidi de Baere, Daria Franceschi and Emiliano Tosi are employees of A. Menarini Diagnostics; Marco Meoni is an employee of Visia Lab Srl. All other authors state no conflict of interest.

  4. Ethical approval: The study was performed according to the Declaration of Helsinki and approved by the local ethical committee of OLV Hospital Aalst (study registration number B126201942365).

References

1. Meroni, PL, Schur, PH. ANA screening: an old test with new recommendations. Ann Rheum Dis 2010;69:1420–2. https://doi.org/10.1136/ard.2009.127100.Search in Google Scholar PubMed

2. Damoiseaux, J, von Mühlen, CA, Garcia-De La Torre, I, Carballo, OG, de Melo Cruvinel, W, Francescantonio, PL, et al.. International consensus on ANA patterns (ICAP): the bumpy road towards a consensus on reporting ANA results. Auto Immun Highlights 2016;7:1. https://doi.org/10.1007/s13317-016-0075-0.Search in Google Scholar PubMed PubMed Central

3. Damoiseaux, J, Andrade, LEC, Carballo, OG, Conrad, K, Francescantonio, PLC, Fritzler, MJ, et al.. Clinical relevance of HEp-2 indirect immunofluorescent patterns: the International Consensus on ANA patterns (ICAP) perspective. Ann Rheum Dis 2019;78:879–89. https://doi.org/10.1136/annrheumdis-2018-214436.Search in Google Scholar PubMed PubMed Central

4. Andrade, LEC, Klotz, W, Herold, M, Conrad, K, Rönnelid, J, Fritzler, MJ, et al.. International consensus on antinuclear antibody patterns: definition of the AC-29 pattern associated with antibodies to DNA topoisomerase I. Clin Chem Lab Med 2018;56:1783–8. https://doi.org/10.1515/cclm-2018-0188.Search in Google Scholar PubMed

5. Oyaert, M, Bossuyt, X, Ravelingien, I, Van Hoovels, L. Added value of indirect immunofluorescence intensity of automated antinuclear antibody testing in a secondary hospital setting. Clin Chem Lab Med 2016;54:e63–6. https://doi.org/10.1515/cclm-2015-0887.Search in Google Scholar PubMed

6. Schouwers, S, Bonnet, M, Verschueren, P, Westhovens, R, Blockmans, D, Mariën, G, et al.. Value-added reporting of antinuclear antibody testing by automated indirect immunofluorescence analysis. Clin Chem Lab Med 2014;52:547–51. https://doi.org/10.1515/cclm-2013-0610.Search in Google Scholar PubMed

7. Bossuyt, X, Cooreman, S, De Baere, H, Verschueren, P, Westhovens, R, Blockmans, D, et al.. Detection of antinuclear antibodies by automated indirect immunofluorescence analysis. Clin Chim Acta 2013;415:101–6. https://doi.org/10.1016/j.cca.2012.09.021.Search in Google Scholar PubMed

8. Vulsteke, JB, Van Hoovels, L, Willems, P, Vander Cruyssen, B, Vanderschueren, S, Westhovens, R, et al.. Titre-specific positive predictive value of antinuclear antibody patterns. Ann Rheum Dis 2019. https://doi.org/10.1136/annrheumdis-2019-216245.Search in Google Scholar PubMed

9. Tozzoli, R, Bonaguri, C, Melegari, A, Antico, A, Bassetti, D, Bizzaro, N. Current state of diagnostic technologies in the autoimmunology laboratory. Clin Chem Lab Med 2013;51:129–38. https://doi.org/10.1515/cclm-2012-0191.Search in Google Scholar PubMed

10. Bizzaro, N, Antico, A, Platzgummer, S, Tonutti, E, Bassetti, D, Pesente, F, et al.. Automated antinuclear immunofluorescence antibody screening: a comparative study of six computer-aided diagnostic systems. Autoimmun Rev 2014;13:292–8. https://doi.org/10.1016/j.autrev.2013.10.015.Search in Google Scholar PubMed

11. Rigon, A, Infantino, M, Merone, M, Iannello, G, Tincani, A, Cavazzana, I, et al.. The inter-observer reading variability in anti-nuclear antibodies indirect (ANA) immunofluorescence test: a multicenter evaluation and a review of the literature. Autoimmun Rev 2017;16:1224–9. https://doi.org/10.1016/j.autrev.2017.10.006.Search in Google Scholar PubMed

12. Copple, SS, Giles, SR, Jaskowski, TD, Gardiner, AE, Wilson, AM, Hill, HR. Screening for IgG antinuclear autoantibodies by HEp-2 indirect fluorescent antibody assays and the need for standardization. Am J Clin Pathol 2012;137:825–30. https://doi.org/10.1309/ajcpicnfg7uces1s.Search in Google Scholar PubMed

13. Infantino, M, Meacci, F, Grossi, V, Manfredi, M, Benucci, M, Merone, M, et al.. The burden of the variability introduced by the HEp-2 assay kit and the CAD system in ANA indirect immunofluorescence test. Immunol Res 2017;65:345–54. https://doi.org/10.1007/s12026-016-8845-3.Search in Google Scholar PubMed

14. Mahler, M, Meroni, PL, Bossuyt, X, Fritzler, MJ. Current concepts and future directions for the assessment of autoantibodies to cellular antigens referred to as anti-nuclear antibodies. J Immunol Res 2014;2014:315179. https://doi.org/10.1155/2014/315179.Search in Google Scholar PubMed PubMed Central

15. Tozzoli, R, Villalta, D, Bizzaro, N. Challenges in the standardization of autoantibody testing: a comprehensive review. Clin Rev Allergy Immunol 2017;53:68–77. https://doi.org/10.1007/s12016-016-8579-y.Search in Google Scholar PubMed

16. Tozzoli, R, Bizzaro, N. The clinical and the laboratory autoimmunologist: where do we stand? Auto Immun Highlights 2020;11:10. https://doi.org/10.1186/s13317-020-00133-1.Search in Google Scholar PubMed PubMed Central

17. Krause, C, Ens, K, Fechner, K, Voigt, J, Fraune, J, Rohwäder, E, et al.. EUROPattern Suite technology for computer-aided immunofluorescence microscopy in autoantibody diagnostics. Lupus 2015;24:516–29. https://doi.org/10.1177/0961203314559635.Search in Google Scholar PubMed

18. van Beers JJBC, Hahn, M, Fraune, J, Mallet, K, Krause, C, Hormann, W, et al.. Performance analysis of automated evaluation of antinuclear antibody indirect immunofluorescent tests in a routine setting. Auto Immun Highlights 2018;9:8. https://doi.org/10.1007/s13317-018-0108-y.Search in Google Scholar PubMed PubMed Central

19. Copple, SS, Jaskowski, TD, Giles, R, Hill, HR. Interpretation of ANA indirect immunofluorescence test outside the darkroom using NOVA view compared to manual microscopy. J Immunol Res 2014;2014:149316. https://doi.org/10.1155/2014/149316.Search in Google Scholar PubMed PubMed Central

20. Tozzoli, R, Antico, A, Porcelli, B, Bassetti, D. Automation in indirect immunofluorescence testing: a new step in the evolution of the autoimmunology laboratory. Auto Immun Highlights 2012;3:59–65. https://doi.org/10.1007/s13317-012-0035-2.Search in Google Scholar PubMed PubMed Central

21. Picchioni, D, Nencini, F, Franceschi, D. Zenit PRO: towards total automation and IIF standardization. Autoimmun Close Up 2017;4:6–14.Search in Google Scholar

22. Van Hoovels, L, Schouwers, S, Van den Bremt, S, Bogaert, L, Vandeputte, N, Vercammen, M, et al.. Analytical performance of the single well titer function of NOVA View®: good enough to omit ANA IIF titer analysis? Clin Chem Lab Med 2018;56:258–61. https://doi.org/10.1515/cclm-2018-0338.Search in Google Scholar

23. Sack, U, Knoechner, S, Warschkau, H, Pigla, U, Emmrich, F, Kamprad, M. Computer-assisted classification of HEp-2 immunofluorescence patterns in autoimmune diagnostics. Autoimmun Rev 2003;2:298–304. https://doi.org/10.1016/s1568-9972(03)00067-3.Search in Google Scholar

24. Rigon, A, Soda, P, Zennaro, D, Iannello, G, Afeltra, A. Indirect immunofluorescence in autoimmune diseases: assessment of digital images for diagnostic purpose. Cytometry B Clin Cytometry 2007;72:472–7. https://doi.org/10.1002/cyto.b.20356.Search in Google Scholar PubMed

25. Rigon, A, Buzzulini, F, Soda, P, Onofri, L, Arcarese, L, Iannello, G, et al.. Novel opportunities in automated classification of antinuclear antibodies on HEp-2 cells. Autoimmun Rev 2011;10:647–52. https://doi.org/10.1016/j.autrev.2011.04.022.Search in Google Scholar PubMed

26. Van den Bremt, S, Schouwers, S, Van Blerk, M, Van Hoovels, L. ANA IIF automation: moving towards harmonization? Results of a multicenter study. J Immunol Res 2017;2017:6038137. https://doi.org/10.1155/2017/6038137.Search in Google Scholar PubMed PubMed Central

27. Van Hoovels, L, Schouwers, S, Van den Bremt, S, Bossuyt, X. Variation in antinuclear antibody detection by automated indirect immunofluorescence analysis. Ann Rheum Dis 2019;78:e48. https://doi.org/10.1136/annrheumdis-2018-213543.Search in Google Scholar PubMed

28. Infantino, M, Manfredi, M, Soda, P, Merone, M, Afeltra, A, Rigon, A. ANA testing in ’real life’. Ann Rheum Dis 2020;79:e3. https://doi.org/10.1136/annrheumdis-2018-214615.Search in Google Scholar PubMed

29. Meroni, PL, Chan, EK, Damoiseaux, J, Andrade, LEC, Bossuyt, X, Conrad, K, et al.. Unending story of the indirect immunofluorescence assay on HEp-2 cells: old problems and new solutions? Ann Rheum Dis 2019;78:e46. https://doi.org/10.1136/annrheumdis-2018-213440.Search in Google Scholar PubMed

30. Mahler, M. Lack of standardisation of ANA and implications for drug development and precision medicine. Ann Rheum Dis 2019;78:e33. https://doi.org/10.1136/annrheumdis-2018-213374.Search in Google Scholar PubMed

31. Bogaert, L, Van den Bremt, S, Schouwers, S, Bossuyt, X, Van Hoovels, L. Harmonizing by reducing inter-run variability: performance evaluation of a quality assurance program for antinuclear antibody detection by indirect immunofluorescence. Clin Chem Lab Med 2019;57:990–8. https://doi.org/10.1515/cclm-2018-0933.Search in Google Scholar PubMed

32. Maenhout, TM, Bonroy, C, Verfaillie, C, Stove, V, Devreese, K. Automated indirect immunofluorescence microscopy enables the implementation of a quantitative internal quality control system for anti-nuclear antibody analysis. Clin Chem Lab Med 2014;52:989–98. https://doi.org/10.1515/cclm-2013-0912.Search in Google Scholar PubMed

33. Mulliez, SM, Maenhout, TM, Bonroy, C. Impact of the routine implementation of automated indirect immunofluorescence antinuclear antibody analysis: 1 year of experience. Clin Chem Lab Med 2016;54:e183–6. https://doi.org/10.1515/cclm-2015-0900.Search in Google Scholar PubMed

34. Bizzaro, N, Bossuyt, X, Haapala, AM, Shoenfeld, Y, Sack, U. Accreditation in autoimmune diagnostic laboratories. A position paper of the European Autoimmunity Standardisation Initiative (EASI). Autoimmun Rev 2017;16:81–6. https://doi.org/10.1016/j.autrev.2016.09.021.Search in Google Scholar PubMed

35. ISO 15189:2012. Medical laboratories — requirements for quality and competence. Geneva: ISO; 2012.Search in Google Scholar

36. Sack, U, Bossuyt, X, Andreeva, H, Antal-Szalmás, P, Bizzaro, N, Bogdanos, D, et al.. European Autoimmunity Standardisation Initiative. Quality and best practice in medical laboratories: specific requests for autoimmunity testing. Auto Immun Highlights 2020;11:12. https://doi.org/10.1186/s13317-020-00134-0.Search in Google Scholar PubMed PubMed Central

37. Galli, C, Plebani, M. Quality controls for serology: an unfinished agenda. Clin Chem Lab Med 2020;58:1169–70. https://doi.org/10.1515/cclm-2020-0304.Search in Google Scholar PubMed

38. Van Hoovels, L, Bossuyt, X. Harmonisation of laboratory tests for rheumatic diseases: still a long way to go. Ann Rheum Dis 2020;79:e5. https://doi.org/10.1136/annrheumdis-2018-214696.Search in Google Scholar PubMed

39. Rahman, S, Wang, L, Sun, C, Zhou, L. Deep learning based HEp-2 image classification: a comprehensive review. Med Image Anal 2020;65:101764. https://doi.org/10.1016/j.media.2020.101764.Search in Google Scholar PubMed


Supplementary Material

The online version of this article offers supplementary material (https://doi.org/10.1515/cclm-2020-1669).


Received: 2020-11-06
Accepted: 2021-02-05
Published Online: 2021-02-17
Published in Print: 2021-06-25

© 2021 Walter de Gruyter GmbH, Berlin/Boston

Articles in the same Issue

  1. Frontmatter
  2. Editorial
  3. Machine learning and coagulation testing: the next big thing in hemostasis investigations?
  4. Reviews
  5. Updates on liquid biopsy: current trends and future perspectives for clinical application in solid tumors
  6. The underestimated issue of non-reproducible cardiac troponin I and T results: case series and systematic review of the literature
  7. Opinion Paper
  8. Benefits, limitations and controversies on patient-based real-time quality control (PBRTQC) and the evidence behind the practice
  9. Genetics and Molecular Diagnostics
  10. ctDNA from body fluids is an adequate source for EGFR biomarker testing in advanced lung adenocarcinoma
  11. General Clinical Chemistry and Laboratory Medicine
  12. Incidence, characteristics and outcomes among inpatient, outpatient and emergency department with reported high critical serum potassium values
  13. Clinical usefulness of drug-laboratory test interaction alerts: a multicentre survey
  14. Integrating quality assurance in autoimmunity: the changing face of the automated ANA IIF test
  15. Plasma thiol/disulphide homeostasis changes in patients with restless legs syndrome
  16. Reference Values and Biological Variations
  17. High-resolution pediatric reference intervals for 15 biochemical analytes described using fractional polynomials
  18. Continuous reference intervals for leukocyte telomere length in children: the method matters
  19. Hematology and Coagulation
  20. Using machine learning to identify clotted specimens in coagulation testing
  21. Cardiovascular Diseases
  22. Long term pronostic value of suPAR in chronic heart failure: reclassification of patients with low MAGGIC score
  23. Infectious Diseases
  24. Monocyte distribution width (MDW) parameter as a sepsis indicator in intensive care units
  25. A low level of CD16pos monocytes in SARS-CoV-2 infected patients is a marker of severity
  26. Thrombin generation in patients with COVID-19 with and without thromboprophylaxis
  27. Corrigendum
  28. Applying the concept of uncertainty to the sFlt-1/PlGF cut-offs for diagnosis and prognosis of preeclampsia
  29. Letters to the Editors
  30. Additional approaches for identifying non-reproducible cardiac troponin results
  31. Paediatric reference intervals for ionised calcium – a data mining approach
  32. A case of interference in testosterone, DHEA-S and progesterone measurements by second generation immunoassays
  33. Lack of cross-reactivity between anti-A IgG isoagglutinins and anti-SARS-CoV-2 IgG antibodies
  34. Artefactual bands on urine protein immunofixation gels
  35. A case of methaemoglobinaemia interference on the WDF channel on Sysmex XN-Series analysers
  36. Soluble fms-like tyrosine kinase-1: a potential early predictor of respiratory failure in COVID-19 patients
  37. Serendipitous detection of α1-antitrypsin deficiency: a single institution’s experience over a 32 month period
  38. The activated partial thromboplastin time may not reveal even severe fibrinogen deficiency
  39. Influence of C-reactive protein on thrombin generation assay
  40. Inappropriate extrapolations abound in fecal microbiota research
Downloaded on 16.9.2025 from https://www.degruyterbrill.com/document/doi/10.1515/cclm-2020-1669/html
Scroll to top button