International Journal of Infectious Diseases (Mar 2021)

Performance assessment of 11 commercial serological tests for SARS-CoV-2 on hospitalised COVID-19 patients

  • C. Serre-Miranda,
  • C. Nobrega,
  • S. Roque,
  • J. Canto-Gomes,
  • C.S. Silva,
  • N. Vieira,
  • P. Barreira-Silva,
  • P. Alves-Peixoto,
  • J. Cotter,
  • A. Reis,
  • M. Formigo,
  • H. Sarmento,
  • O. Pires,
  • A. Carvalho,
  • D.Y. Petrovykh,
  • L. Diéguez,
  • J.C. Sousa,
  • N. Sousa,
  • C. Capela,
  • J.A. Palha,
  • P.G. Cunha,
  • M. Correia-Neves

Journal volume & issue
Vol. 104
pp. 661 – 669

Abstract

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Background: Commercial availability of serological tests to evaluate immunoglobulins (Ig) targeting severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has grown exponentially since the start of the coronavirus disease 2019 (COVID-19) outbreak. Thorough validation of these tests is important before use as epidemiological tools to infer seroprevalence in specific populations and as diagnostic tools to complement molecular approaches (e.g., quantitative reverse transcription-polymerase chain reaction). Methods: Commercial serological tests from 11 suppliers were assayed side-by-side using 126 samples from SARS-CoV-2-infected inpatients and 36 from healthy and HIV-infected individuals. Results: The majority of the tests assayed have >95% specificity. For the sensitivity calculation, samples were stratified by days since symptoms onset; sensitivity peaks at 16–21 days for IgM and IgA (maximum 91.2%, Euroimmun) and, dependant on the test, at 16–21 or >21 days for IgG (maximum 94.1%, Snibe). Data from semiquantitative tests show that patients with a severe clinical presentation have lower levels of Ig targeting SARS-CoV-2 at 21 days, compared to patients with a non-severe presentation. Conclusions: This study highlights the heterogeneity of sensitivity and generally high specificity of the serological tests and establishes a basis for their usefulness to complement diagnostic techniques and population seroprevalence studies.

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