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      Clinical usefulness of fully automated chemiluminescent immunoassay for quantitative antibody measurements in COVID‐19 patients

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          Abstract

          Background

          Since December 2019 we have been in the battlefield with a new threat to the humanity, known as SARS‐CoV‐2, which causes COVID‐19, characterized by viral pneumonia. It may be asymptomatic or cause various symptoms, ranging from flu like symptoms to ARDS and eventually death. At present, the only reliable test for COVID‐19 diagnosis is RT‐qPCR. Assessing the immune response against SARS‐CoV‐2 could increase the detection sensitivity of infected population. Hereby, we report the performances of a fully automated chemiluminescent immunoassay (CLIA) on 276 serum samples.

          Methods

          One hundred samples obtained from COVID‐19 negative subjects (COVID‐19 free) were analyzed to evaluate diagnostic specificity of antibody (Ab) detection. Thereafter, 176 samples obtained from 125 patients with confirmed COVID‐19 (COVID‐19 patients) were selected to assess the diagnostic sensitivity of the CLIA. All samples were analyzed on MAGLUMI TM 800 platform.

          Results

          All COVID‐19 free samples had Ab levels below the cut‐off values. Hence, the diagnostic specificity was estimated at 100% (95%CI= 96.3‐100.0; PPV= 100%). By the 18 th day from the onset of symptoms we reached to an optimal diagnostic sensitivity (more than 95.0 %) In fact, the diagnostic sensitivity increased over time and between 15 to 25 days after symptoms onset, reached to 95.5% (95% CI= 84.9‐99.2).

          Conclusion

          The new automated CLIA analyzer appeared to be a robust and reliable method to measure specific Ab against COVID‐19 at a high throughput. Our data suggest that combining Ab and nucleic acid detection could increase the diagnostic sensitivity.

          This article is protected by copyright. All rights reserved.

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          Most cited references10

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          Limit of blank, limit of detection and limit of quantitation.

          * Limit of Blank (LoB), Limit of Detection (LoD), and Limit of Quantitation (LoQ) are terms used to describe the smallest concentration of a measurand that can be reliably measured by an analytical procedure. * LoB is the highest apparent analyte concentration expected to be found when replicates of a blank sample containing no analyte are tested. LoB = mean(blank) + 1.645(SD(blank)). * LoD is the lowest analyte concentration likely to be reliably distinguished from the LoB and at which detection is feasible. LoD is determined by utilising both the measured LoB and test replicates of a sample known to contain a low concentration of analyte. * LoD = LoB + 1.645(SD (low concentration sample)). * LoQ is the lowest concentration at which the analyte can not only be reliably detected but at which some predefined goals for bias and imprecision are met. The LoQ may be equivalent to the LoD or it could be at a much higher concentration.
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            Reinfection could not occur in SARS‐CoV‐2 infected rhesus macaques

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              Evaluation of the linearity of quantitative measurement procedures: A statistical approach, approved guideline. NCCLS document EP6-a

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                Author and article information

                Contributors
                Benoit.Kabamba@UCLouvain.Be
                Journal
                J Med Virol
                J. Med. Virol
                10.1002/(ISSN)1096-9071
                JMV
                Journal of Medical Virology
                John Wiley and Sons Inc. (Hoboken )
                0146-6615
                1096-9071
                14 August 2020
                : 10.1002/jmv.26430
                Affiliations
                [ 1 ] Department of Laboratory Medicine Cliniques universitaires Saint‐Luc Brussels Belgium
                [ 2 ] Scientific Research Pole of Endocrinology, Diabetes and Nutrition, Institute of Experimental and Clinical Research Université Catholique de Louvain Brussels Belgium
                [ 3 ] Scientific Research Pole of Medical Microbiology, Institute of Experimental and Clinical Research Université Catholique de Louvain Brussels Belgium
                [ 4 ] Department of Internal Medicine and Infectiology Cliniques universitaires Saint‐Luc Brussels Belgium
                Author notes
                [*] [* ] Correspondence Prof. Benoît Kabamba‐Mukadi, Medical Microbiology Service, University Hospital Saint‐Luc, Rosalind Franklin Building, 49 Avenue Mounier, B‐1200 Brussels, Belgium.

                Email: Benoit.Kabamba@ 123456UCLouvain.Be

                Author information
                http://orcid.org/0000-0003-3618-668X
                http://orcid.org/0000-0003-3041-1591
                http://orcid.org/0000-0003-0284-5210
                Article
                JMV26430
                10.1002/jmv.26430
                7436871
                32797641
                621fe19f-4f35-4509-a431-4e9cd02f39df
                This article is protected by copyright. All rights reserved.

                This article is being made freely available through PubMed Central as part of the COVID-19 public health emergency response. It can be used for unrestricted research re-use and analysis in any form or by any means with acknowledgement of the original source, for the duration of the public health emergency.

                History
                Page count
                Figures: 0, Tables: 0, Pages: 37, Words: 383
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                accepted-manuscript
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.8.7 mode:remove_FC converted:19.08.2020

                Microbiology & Virology
                covid‐19,euroimmun,immunoassay,maglumitm,sars‐cov‐2,serology
                Microbiology & Virology
                covid‐19, euroimmun, immunoassay, maglumitm, sars‐cov‐2, serology

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