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Comparative Study
. 2021 Jan 21;59(2):e02342-20.
doi: 10.1128/JCM.02342-20. Print 2021 Jan 21.

Evaluating 10 Commercially Available SARS-CoV-2 Rapid Serological Tests by Use of the STARD (Standards for Reporting of Diagnostic Accuracy Studies) Method

Affiliations
Comparative Study

Evaluating 10 Commercially Available SARS-CoV-2 Rapid Serological Tests by Use of the STARD (Standards for Reporting of Diagnostic Accuracy Studies) Method

Laurent Dortet et al. J Clin Microbiol. .

Abstract

Numerous severe acute respiratory syndrome coronavirus 2 (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-CoV-2 rapid serological tests using the STARD (Standards for Reporting of Diagnostic Accuracy Studies) methodology. Two hundred fifty serum samples from 159 PCR-confirmed SARS-CoV-2 patients (collected 0 to 32 days after the onset of symptoms) were tested with rapid serological tests. Control serum samples (n = 254) were retrieved from pre-coronavirus disease (COVID) periods from patients with other coronavirus infections (n = 11), positivity for 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 (LFIAs) from 10 manufacturers. Only four tests achieved ≥98% specificity, with the specificities ranging from 75.7% to 99.2%. The sensitivities varied by the day of sample collection after the onset of symptoms, from 31.7% to 55.4% (days 0 to 9), 65.9% to 92.9% (days 10 to 14), and 81.0% to 95.2% (>14 days). Only three of the tests evaluated met French health authorities' thresholds for SARS-CoV-2 serological tests (≥90% sensitivity and ≥98% specificity). Overall, the performances varied greatly between tests, with only one-third meeting acceptable specificity and sensitivity thresholds. Knowledge of the analytical performances of these tests will allow clinicians and, most importantly, laboratorians to use them with more confidence; could help determine the general population's immunological status; and may help diagnose some patients with false-negative real-time reverse transcription-PCR (RT-PCR) results.

Keywords: COVID-19; IgG; IgM; LFIA; RDT; SARS-CoV-2; analytical performances; antibodies; immunoassays; serology.

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Figures

FIG 1
FIG 1
Serum collection used for the evaluation. (A) Distribution of 250 serum samples from COVID-positive patients according to the number of days after the onset of symptoms. (B) Distribution of the 254 control serum samples.
FIG 2
FIG 2
Cumulative positivity rate obtained with 10 RDTs in serum samples from COVID-19 patients stratified by the number of days after the appearance of symptoms. The day after symptom appearance with >95% positivity is indicated by a colored bar (red for RDT 1 and black for the other tests). The abscissas correspond to days after symptoms.
FIG 3
FIG 3
Agreement of results between RDTs. Percent agreement is indicated across all RDT combinations. RDTs were considered positive if any IgG and/or IgM was detected.
FIG 4
FIG 4
Result (visible band) intensity for IgM-plus-IgG (A), IgM-only (B), and IgG-only (C) tests.

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