Diagnostic Properties of Three SARS-CoV-2 Antibody Tests

Autor: Marina Bessel, Suelen Porto Basgalupp, Lara Garcia, Thayane Martins Dornelles, Giovana Dos Santos, Emerson Brito, Eliana Marcia Wendland, Lucia Campos Pellanda, Pedro C. Hallal, Ana Carolina de Moura, Giovana de Miranda, Ana Carolina Monteiro da Rocha, William Jones Dartora
Rok vydání: 2021
Předmět:
Zdroj: Diagnostics
Volume 11
Issue 8
Diagnostics, Vol 11, Iss 1441, p 1441 (2021)
ISSN: 2075-4418
DOI: 10.3390/diagnostics11081441
Popis: Serological assays emerged as complementary tools to RT-PCR in the diagnosis of SARS-CoV-2 as well as being needed for epidemiological studies. This study aimed to assess the performance of a rapid test (RT) compared to that of serological tests using finger prick blood samples. A total of 183 samples were evaluated, 88 of which were collected from individuals with negative RT-PCR and 95 from positive RT-PCR individuals. The diagnostic performance of RT (WONDFO®) and LUMIT (PROMEGA®) were compared to that of ELISA (EUROIMMUN®) for detecting antibodies against SARS-CoV-2 according to time from symptoms onset. The IgG antibody tests were detected in 77.4% (LUMIT), 77.9% (RT), and 80.0% (ELISA) of individuals. The detection of antibodies against SARS-CoV-2 increases in accordance with increasing time from symptoms onset. Considering only time from symptoms onset >
21 days, the positivity rate ranged from 81.8 to 97.0% between the three tests. The RT and LUMIT showed high agreement with ELISA (agreement = 91.5%, k = 0.83, and agreement = 96.3%, k = 0.9, respectively) in individuals who had symptoms 15 to 21 days before sample collection. Compared to that of the ELISA assay, our results show sensitivity ranged from 95% to 100% for IgG antibody detection in individuals with symptoms onset between 15 and 21 days before sample collection. The specificity was 100% in individuals with symptoms onset >
15 days before serological tests. This study shows good performance and high level of agreement of three immunoassays for the detection of SARS-CoV-2 antibodies.
Databáze: OpenAIRE
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