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Evaluating ten commercially-available SARS-CoV-2 rapid serological tests using the STARD (Standards for Reporting of Diagnostic Accuracy Studies) method

Authors :
Jean-Baptiste Ronat
Ali Afdjei
Christelle Vauloup-Fellous
Sandrine Bernabeu
Nicolas Fortineau
Laurent Dortet
Anthony Chauvin
Cécile Emeraud
Delphine Girlich
A.-M. Roque-Afonso
Samuel Le Pape
Céline Verstuyft
Thierry Naas
David-Alexis Mendels
Céline Langendorf
Saoussen Oueslati
Alice Rochard
Rim Kallala
Publication Year :
2020
Publisher :
Cold Spring Harbor Laboratory, 2020.

Abstract

Numerous SARS-CoV-2 rapid serological tests have been developed, but their accuracy has usually been assessed using very few samples, and rigorous comparisons between these tests are scarce. In this study, we evaluated and compared 10 commercially-available SARS-CoV2 rapid serological tests using the STARD methodology (Standards for Reporting of Diagnostic Accuracy Studies). 250 sera from 159 PCR-confirmed SARS-CoV-2 patients (collected from 0 to 32 days after onset of symptoms) were tested with rapid serological tests. Control sera (N=254) were retrieved from pre-COVID periods from patients with other coronavirus infections (N=11), positive rheumatoid factors (N=3), IgG/IgM hyperglobulinemia (N=9), malaria (n=5), or no documented viral infection (N=226). All samples were tested using rapid lateral flow immunoassays (LFIA) from ten manufacturers. Only four tests achieved ≥98% specificity, with other tests ranging from 75.7%-99.2%. Sensitivities varied by the day of sample collection, from 31.7%-55.4% (Days 0-9), 65.9%92.9% (Days 10-14), and 81.0%-95.2% (>14 days) after the onset of symptoms, respectively. Only three tests evaluated met French Health Authorities’ thresholds for SARS-CoV-2 serological tests (≥90% sensitivity + ≥98% specificity). Overall, the performances between tests varied greatly, with only a third meeting acceptable specificity and sensitivity thresholds. Knowing the analytical performance of these tests will allow clinicians to use them with more confidence, could help determine the general population’s immunological status, and may diagnose some patients with false-negative RT-PCR results.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........afc9e062ab87fec6d3105a2eb25ec6af
Full Text :
https://doi.org/10.1101/2020.09.10.20192260