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Infantino M, Pavia F, Grossi V, Lari B, Benucci M, Li Gobbi F, Pancani S, Manfredi M. Evaluation of a New Multiparametric Microdot Array-Based Immunoassay Panel for Systemic Autoimmune Disease Diagnosis. J Pers Med 2024; 14:607. [PMID: 38929828 PMCID: PMC11205220 DOI: 10.3390/jpm14060607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2024] [Revised: 05/28/2024] [Accepted: 05/30/2024] [Indexed: 06/28/2024] Open
Abstract
BACKGROUND The early reliable detection and quantification of autoantibodies play an important role in autoimmune disease diagnosis and in disease-course monitoring. New technologies, such as the multiplexed determination of autoantibodies, have recently been introduced and are being adopted more frequently. The aim of this study was to evaluate the ability of a new microdot array-based multiparametric assay (ZENIT AMiDot CTD panel, A. Menarini Diagnostics, Firenze, Italy) to correctly classify patients with autoimmune rheumatic diseases (ARDs) and compare it to a fluorescence enzyme immunoassay (FEIA) for the detection of anti-ENAs. METHODS The study included 69 consecutive samples from patients with ARDs that were analyzed using two different methods (FEIA and AMiDot) to detect anti-CENP B and six anti-ENA antibodies: anti-Scl-70, anti-SSB/La, anti-Jo-1, anti-U1-RNP, anti-Ro52, and anti-Ro60. The control group sera came from sixty-eight blood donors. Tests were run on the automated slide processor ZENIT FLOW, and then the slides were imaged and analyzed using ZENIT fast. RESULTS Since the samples were selected for at least one antibody positivity with an ARD diagnosis, we did not calculate clinical sensitivity but only specificity, which was 98.53%, ranging from 90% for anti-SSB/La antibodies to 100% for anti-CENP B ones. Mean agreement among the methods assessed by Cohen's kappa was 0.816 ± 0.240. CONCLUSIONS The assay demonstrated good clinical performance and may be considered a valuable aid in detecting ARD patients, offering an alternative to methods such as FEIA which are largely in use today.
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Affiliation(s)
- Maria Infantino
- Immunology and Allergology Laboratory, S. Giovanni di Dio Hospital, 50143 Florence, Italy; (F.P.); (V.G.); (B.L.); (M.M.)
| | - Francesca Pavia
- Immunology and Allergology Laboratory, S. Giovanni di Dio Hospital, 50143 Florence, Italy; (F.P.); (V.G.); (B.L.); (M.M.)
| | - Valentina Grossi
- Immunology and Allergology Laboratory, S. Giovanni di Dio Hospital, 50143 Florence, Italy; (F.P.); (V.G.); (B.L.); (M.M.)
| | - Barbara Lari
- Immunology and Allergology Laboratory, S. Giovanni di Dio Hospital, 50143 Florence, Italy; (F.P.); (V.G.); (B.L.); (M.M.)
| | - Maurizio Benucci
- Rheumatology Unit, S. Giovanni di Dio Hospital, 50143 Florence, Italy; (M.B.); (F.L.G.)
| | - Francesca Li Gobbi
- Rheumatology Unit, S. Giovanni di Dio Hospital, 50143 Florence, Italy; (M.B.); (F.L.G.)
| | - Silvia Pancani
- IRCCS Fondazione Don Carlo Gnocchi, 50143 Florence, Italy;
| | - Mariangela Manfredi
- Immunology and Allergology Laboratory, S. Giovanni di Dio Hospital, 50143 Florence, Italy; (F.P.); (V.G.); (B.L.); (M.M.)
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Damoiseaux J. The International Consensus on ANA Patterns (ICAP): from conception to implementation. Clin Chem Lab Med 2024; 62:789-792. [PMID: 37978340 DOI: 10.1515/cclm-2023-1211] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2023]
Affiliation(s)
- Jan Damoiseaux
- Central Diagnostic Laboratory, Maastricht University Medical Center, Maastricht, The Netherlands
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3
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Bossuyt X, Van Hoovels L. Reporting Likelihood Ratio in Autoimmune Serology: Just a Theory or Feasible in Practice? Clin Chem 2024; 70:482-485. [PMID: 38300842 DOI: 10.1093/clinchem/hvad222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Accepted: 11/28/2023] [Indexed: 02/03/2024]
Affiliation(s)
- Xavier Bossuyt
- Laboratory Medicine, University Hospitals Leuven, Leuven, Belgium
- Department of Microbiology, Immunology and Transplantation, Clinical and Diagnostic Immunology, KU Leuven, Leuven, Belgium
| | - Lieve Van Hoovels
- Department of Microbiology, Immunology and Transplantation, Clinical and Diagnostic Immunology, KU Leuven, Leuven, Belgium
- Laboratory Medicine, OLV Hospital, Aalst, Belgium
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4
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Carbone T, Pafundi V, Ciardo V, Infantino M, Muscella A, D'Angelo S. Harmonization of ANA testing challenge: quantification strategy to accurately predict end-point titers avoiding serial dilution. Immunol Res 2024; 72:96-102. [PMID: 37792145 DOI: 10.1007/s12026-023-09417-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 08/18/2023] [Indexed: 10/05/2023]
Abstract
Despite the advantages of automated systems for antinuclear antibody (ANA) analysis, the prediction of end-point titers avoiding serial dilutions is still in progress. The aims of this study were to set a conversion table providing discriminant ranges of fluorescence signal intensity values (FI) corresponding to the end-point titers and validate this tool in a real-life laboratory setting. Eight hundred ninety-four serum samples were analyzed for ANA using Image Navigator System. In order to classify FI into non-overlapping groups corresponding to conventional end-point titers, statistical discriminant analysis was used. Validation study was performed calculating agreement and error rates between visual readings and conversion table of 1119 routine ANA positive samples. Setting of FI ranges corresponding to the end-point titers for different staining patterns was computed. For samples showing single pattern, the overall agreement between visual readings and conversion table was 98.4% for all titers ranging from 1:160 to 1:2560, of which 68.0% had the same titer and 30.4% were within ± one titer difference. Concordance rates according to ANA patterns were as follows: (1) nuclear 98.4%, of which 67.0% had the same titer and 31.4% ± one titer; (2) cytoplasmic 100%, of which 72.7% had the same titer and 27.3% than ± one titer; (3) mitotic 66.6%, of which 33.3% had more ± one titer. Our study developed a quantification method for autoantibodies titers assessment based on just one single sample dilution instead of traditional serial dilution approach, providing significant advantages in routine laboratory in terms of reduction in hand-on time and harmonization of results.
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Affiliation(s)
- Teresa Carbone
- Immunopathology Laboratory, San Carlo Hospital, Potito Petrone St., 85100, Potenza, Italy
| | - Vito Pafundi
- Immunopathology Laboratory, San Carlo Hospital, Potito Petrone St., 85100, Potenza, Italy.
| | - Vito Ciardo
- Department of Biological and Environmental Science and Technologies, University of Salento, Lecce, Italy
| | - Maria Infantino
- Laboratorio Immunologia Allergologia, San Giovanni Di Dio Hospital, Firenze, Italy
| | - Antonella Muscella
- Department of Biological and Environmental Science and Technologies, University of Salento, Lecce, Italy
| | - Salvatore D'Angelo
- IReL - Rheumatology Institute of Lucania - San Carlo Hospital, Potenza, Italy
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Kraev K, Hristov B, Uchikov P, Kraeva M, Basheva-Kraeva Y, Valova S, Koleva-Ivanova M, Popova-Belova S, Sandeva M, Chakarov D, Geneva-Popova M. Comprehensive Exploration of Antinuclear Antibodies (ANAs): Unveiling Clinical Significance, Associations with Cancer, and the Nuances of Differential Diagnosis in Positive ANA Patients. Diagnostics (Basel) 2024; 14:320. [PMID: 38337836 PMCID: PMC10855796 DOI: 10.3390/diagnostics14030320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Revised: 01/31/2024] [Accepted: 01/31/2024] [Indexed: 02/12/2024] Open
Abstract
This comprehensive review delves into the complex realm of antinuclear antibodies (ANAs), expanding beyond their traditional involvement in autoimmune rheumatic disorders. By digging into historical changes, diagnostic complexity, and clinical significance, the debate reveals the shifting relationships between ANAs, particularly with cancer. Specialized studies provide practical insights on ANA testing processes, standardization, and upcoming challenges. Examining prevalence trends in the United States provides a time dimension to ANA dynamics, linking autoimmune and oncological considerations. The debate delves into the complexity of lupus erythematosus, emphasizing ANAs' diverse presentations and their potential as flexible diagnostic and prognostic indicators. The complex relationship between ANAs and cancer is highlighted, demonstrating their potential as early markers or indicators of malignancies. Looking ahead, this synthesis anticipates advances in personalized medicine and collaborative research, putting ANAs at the forefront of advanced diagnostics and treatments for autoimmune disorders and cancer. This synthesis envisions a future for ANA research in which these antibodies play a critical role in promoting personalized treatment, enhancing diagnostics, and fostering collaborative initiatives that cross traditional boundaries. As ANAs grow more prominent at the junction of autoimmune illnesses and cancer, this synthesis lays the path for further research and novel advances in understanding, diagnosing, and treating complicated medical conditions.
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Affiliation(s)
- Krasimir Kraev
- Department of Propaedeutics of Internal Diseases “Prof. Dr. Anton Mitov”, Faculty of Medicine, Medical University of Plovdiv, 4002 Plovdiv, Bulgaria; (S.P.-B.); (M.G.-P.)
| | - Bozhidar Hristov
- Second Department of Internal Diseases, Section “Gastroenterology”, Medical Faculty, Medical University of Plovdiv, 4002 Plovdiv, Bulgaria;
| | - Petar Uchikov
- Department of Special Surgery, Faculty of Medicine, Medical University of Plovdiv, 4002 Plovdiv, Bulgaria;
| | - Maria Kraeva
- Department of Otorhinolaryngology, Medical Faculty, Medical University of Plovdiv, 4002 Plovdiv, Bulgaria;
| | - Yordanka Basheva-Kraeva
- Department of Ophthalmology, Medical Faculty, Medical University of Plovdiv, 4002 Plovdiv, Bulgaria
| | - Siyana Valova
- Second Department of Internal Diseases, Section “Nephrology”, Medical Faculty, Medical University of Plovdiv, 4002 Plovdiv, Bulgaria;
| | - Maria Koleva-Ivanova
- Department of General and Clinical Pathology, Faculty of Medicine, Medical University of Plovdiv, 4000 Plovdiv, Bulgaria;
| | - Stanislava Popova-Belova
- Department of Propaedeutics of Internal Diseases “Prof. Dr. Anton Mitov”, Faculty of Medicine, Medical University of Plovdiv, 4002 Plovdiv, Bulgaria; (S.P.-B.); (M.G.-P.)
| | - Milena Sandeva
- Department of Midwifery, Faculty of Public Health, Medical University of Plovdiv, 4000 Plovdiv, Bulgaria;
| | - Dzhevdet Chakarov
- Department of Propaedeutics of Surgical Diseases, Section of General Surgery, Faculty of Medicine, Medical University of Plovdiv, 4002 Plovdiv, Bulgaria
| | - Mariela Geneva-Popova
- Department of Propaedeutics of Internal Diseases “Prof. Dr. Anton Mitov”, Faculty of Medicine, Medical University of Plovdiv, 4002 Plovdiv, Bulgaria; (S.P.-B.); (M.G.-P.)
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Zeng J, Gao X, Gao L, Yu Y, Shen L, Pan X. Recognition of rare antinuclear antibody patterns based on a novel attention-based enhancement framework. Brief Bioinform 2024; 25:bbad531. [PMID: 38279651 PMCID: PMC10818137 DOI: 10.1093/bib/bbad531] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 12/17/2023] [Accepted: 12/19/2023] [Indexed: 01/28/2024] Open
Abstract
Rare antinuclear antibody (ANA) pattern recognition has been a widely applied technology for routine ANA screening in clinical laboratories. In recent years, the application of deep learning methods in recognizing ANA patterns has witnessed remarkable advancements. However, the majority of studies in this field have primarily focused on the classification of the most common ANA patterns, while another subset has concentrated on the detection of mitotic metaphase cells. To date, no prior research has been specifically dedicated to the identification of rare ANA patterns. In the present paper, we introduce a novel attention-based enhancement framework, which was designed for the recognition of rare ANA patterns in ANA-indirect immunofluorescence images. More specifically, we selected the algorithm with the best performance as our target detection network by conducting comparative experiments. We then further developed and enhanced the chosen algorithm through a series of optimizations. Then, attention mechanism was introduced to facilitate neural networks in expediting the learning process, extracting more essential and distinctive features for the target features that belong to the specific patterns. The proposed approach has helped to obtained high precision rate of 86.40%, 82.75% recall, 84.24% F1 score and 84.64% mean average precision for a 9-category rare ANA pattern detection task on our dataset. Finally, we evaluated the potential of the model as medical technologist assistant and observed that the technologist's performance improved after referring to the results of the model prediction. These promising results highlighted its potential as an efficient and reliable tool to assist medical technologists in their clinical practice.
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Affiliation(s)
- Junxiang Zeng
- Department of Clinical Laboratory, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Faculty of Medical Laboratory Science, College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Institute of Artificial Intelligence Medicine, Shanghai Academy of Experimental Medicine, Shanghai, China
| | - Xiupan Gao
- Department of Clinical Laboratory, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Limei Gao
- Department of Immunology and Rheumatology, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Youyou Yu
- Department of Clinical Laboratory, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Lisong Shen
- Department of Clinical Laboratory, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Faculty of Medical Laboratory Science, College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Institute of Artificial Intelligence Medicine, Shanghai Academy of Experimental Medicine, Shanghai, China
| | - Xiujun Pan
- Department of Clinical Laboratory, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
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Nagy G, Földesi R, Csípő I, Tarr T, Szűcs G, Szántó A, Bubán T, Szekanecz Z, Papp M, Kappelmayer J, Antal-Szalmás P. A novel way to evaluate autoantibody interference in samples with mixed antinuclear antibody patterns in the HEp-2 cell based indirect immunofluorescence assay and comparison of conventional microscopic and computer-aided pattern recognition. Clin Chim Acta 2024; 553:117747. [PMID: 38154766 DOI: 10.1016/j.cca.2023.117747] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 12/22/2023] [Accepted: 12/25/2023] [Indexed: 12/30/2023]
Abstract
BACKGROUND A major challenge of the HEp-2 cell-based indirect immunofluorescence (IIF) assays is the correct identification of the individual anti-nuclear antibodies (ANAs) if more than one is present in a sample. We created artificial mixes by pooling two different samples with a single autoantibody in different titers. Comparison of the expected and observed patterns and titers clarifies the interference between the two tested ANAs. METHODS Serum samples with a single homogeneous or speckled ANA pattern were serially diluted and mixed in 16 combinations, providing end-point titers of 1:5,120 to 1:80 for both patterns. These mixes were tested by a HEp-2 IIF assay and were evaluated by conventional evaluation, the EUROPattern (EPa) system and on-screen analysis. RESULTS Homogeneous pattern can alter the identification of the speckled pattern much more than vice versa, but both has an interfering effect on the other. The effect of the interfering on the tested pattern was higher if the titer of the former one was higher. The pattern recognition efficacy of conventional and the on-screen evaluation was similar and superior compared to the EPa analysis. CONCLUSIONS The application of artificial mixed samples can help the evaluation of the efficacy of manual and computer-aided ANA HEp-2 pattern recognition.
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Affiliation(s)
- Gábor Nagy
- Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Róza Földesi
- Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - István Csípő
- Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Tünde Tarr
- Institute of Internal Medicine, Department of Clinical Immunology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Gabriella Szűcs
- Institute of Internal Medicine, Department of Rheumatology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Antónia Szántó
- Institute of Internal Medicine, Department of Clinical Immunology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Tamás Bubán
- Department of Gastroenterology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Zoltán Szekanecz
- Institute of Internal Medicine, Department of Rheumatology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Mária Papp
- Department of Gastroenterology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary; European Reference Network on Hepatological Diseases, ERN RARE-LIVER, Debrecen, Hungary
| | - János Kappelmayer
- Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Péter Antal-Szalmás
- Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
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Vercammen M, Bonroy C, Broeders S, Chan EKL, Bizzaro N, Bogdanos DP, Andrade L, Coucke W, de Melo Cruvinel W, Kozmar A, Kuhi L, Lutteri L, Rego de Sousa MJ, Schouwers S, Van Hoovels L, Bossuyt X. Analytical aspects of the antinuclear antibody test by HEp-2 indirect immunofluorescence: EFLM report on an international survey. Clin Chem Lab Med 2023; 61:1199-1208. [PMID: 36989428 DOI: 10.1515/cclm-2023-0210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 02/27/2023] [Indexed: 03/31/2023]
Abstract
OBJECTIVES Detection of antinuclear antibodies (ANA) by indirect immunofluorescence assay using HEp-2 cells (HEp-2 IFA) is used to screen for various autoimmune diseases. HEp-2 IFA suffers from variability, which hampers harmonization. METHODS A questionnaire was developed to collect information on HEp-2 IFA methodology, computer-assisted diagnosis (CAD) systems, training, inter-observer variability, quality assessment, reagent lot change control, and method verification. The questionnaire was distributed to laboratories by Sciensano (Belgium), national EASI groups (Italy, Croatia, Portugal, Estonia, Greece) and ICAP (worldwide). Answers were obtained by 414 laboratories. The results were analysed in the framework of the recent EFLM/EASI/ICAP ANA recommendations (companion paper). RESULTS Laboratories used either HEp-2, HEp-2000, or HEp-20-10 cells and most laboratories (80%) applied the same screening dilution for children and adults. The conjugate used varied between laboratories [IgG-specific (in 57% of laboratories) vs. polyvalent]. Sixty-nine percent of CAD users reviewed the automatic nuclear pattern and 53% of CAD users did not fully exploit the fluorescence intensity for quality assurance. Internal quality control was performed by 96% of the laboratories, in 52% of the laboratories only with strongly positive samples. Interobserver variation was controlled by 79% of the laboratories. Limited lot-to-lot evaluation was performed by 68% of the laboratories. Method verification was done by 80% of the respondents. CONCLUSIONS Even though many laboratories embrace high-quality HEp-2 IFA, substantial differences in how HEp-2 IFA is performed and controlled remain. Acting according to the EFLM/EASI/ICAP ANA recommendations can improve the global performance and quality of HEp-2 IFA and nurture harmonization.
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Affiliation(s)
- Martine Vercammen
- Department of Laboratory Medicine, AZ St-Jan Hospital Bruges-Ostend, Bruges, Belgium
- Reproductive Immunology and Transplantation, Vrije Universiteit Brussel, Brussels, Belgium
| | - Carolien Bonroy
- Department of Laboratory Medicine, University Hospital Ghent, Ghent, Belgium
- Department of Diagnostic Sciences, Ghent University, Ghent, Belgium
| | | | - Edward K L Chan
- Department of Oral Biology, University of Florida, Gainesville, FL, USA
| | - Nicola Bizzaro
- Laboratory of Clinical Pathology, Azienda Sanitaria Universitaria Integrata di Udine, Tolmezzo, Italy
| | - Dimitrios P Bogdanos
- Department of Rheumatology and Clinical Immunology, Faculty of Medicine, School of Health Sciences, University of Thessaly, Volos, Greece
- University General Hospital of Larissa, Larissa, Greece
| | - Luis Andrade
- Rheumatology Division, Escola Paulista de Medicina, Universidade Federal de Sao Paulo, Sao Paulo, Brazil
- Immunology Division, Fleury Medicine and Health Laboratories, Sao Paulo, Brazil
| | - Wim Coucke
- Sciensano, Quality of Laboratories, Brussels, Belgium
| | | | - Ana Kozmar
- Department of Laboratory Diagnostics, University Hospital Centre Zagreb, Zagreb, Croatia
| | - Liisa Kuhi
- Central Laboratory, East Tallinn Central Hospital, Tallinn, Estonia
| | - Laurence Lutteri
- Department of Clinical Chemistry, CHU Sart-Tilman, Liège, Belgium
| | | | - Sofie Schouwers
- Department of Laboratory Medicine, GZA Hospital, Antwerp, Belgium
| | - Lieve Van Hoovels
- Department of Laboratory Medicine, OLV Hospital Aalst, Aalst, Belgium
- Clinical and Diagnostic Immunology, Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium
- Department of Laboratory Medicine, UZ Leuven, Leuven, Belgium
| | - Xavier Bossuyt
- Clinical and Diagnostic Immunology, Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium
- Department of Laboratory Medicine, UZ Leuven, Leuven, Belgium
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