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Validation of a commercially available SARS-CoV-2 serological Immunoassay
Benjamin Meyer; Giulia Torriani; Sabine Yerly; Lena Mazza; Adrien Calame; Isabelle Arm-Vernez; Gert Zimmer; Thomas Agoritsas; Jerome Stirnemann; Herve Spechbach; Idris Guessous; Silvia Stringhini; Jerome Pugin; Pascale Roux-Lombard; Lionel Fontao; Claire-Anne Siegrist; Isabella Eckerle; Nicolas Vuilleumier; Laurent Kaiser.
Affiliation
  • Benjamin Meyer; University of Geneva
  • Giulia Torriani; University of Geneva
  • Sabine Yerly; Geneva University Hospitals
  • Lena Mazza; Geneva University Hospitals
  • Adrien Calame; Geneva University Hospitals
  • Isabelle Arm-Vernez; Geneva University Hospitals
  • Gert Zimmer; University of Bern
  • Thomas Agoritsas; Geneva University Hospitals
  • Jerome Stirnemann; Geneva University Hospitals
  • Herve Spechbach; Geneva University Hospitals
  • Idris Guessous; Geneva University Hospitals
  • Silvia Stringhini; Geneva University Hospitals
  • Jerome Pugin; Geneva University Hospitals
  • Pascale Roux-Lombard; Geneva University Hospitals
  • Lionel Fontao; Geneva University Hospitals
  • Claire-Anne Siegrist; University of Geneva
  • Isabella Eckerle; Geneva University Hospitals
  • Nicolas Vuilleumier; Geneva University Hospitals
  • Laurent Kaiser; Geneva University Hospitals
Preprint in English | medRxiv | ID: ppmedrxiv-20080879
Journal article
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ABSTRACT
ObjectivesTo validate the diagnostic accuracy of a Euroimmun SARS-CoV-2 IgG and IgA immunoassay for COVID-19. MethodsIn this unmatched (11) case-control validation study, we used sera of 181 laboratory-confirmed SARS-CoV-2 cases and 176 controls collected before SARS-CoV-2 emergence. Diagnostic accuracy of the immunoassay was assessed against a whole spike protein-based recombinant immunofluorescence assay (rIFA) by receiver operating characteristic (ROC) analyses. Discrepant cases between ELISA and rIFA were further tested by pseudo-neutralization assay. ResultsCOVID-19 patients were more likely to be male and older than controls, and 50.3% were hospitalized. ROC curve analyses indicated that IgG and IgA had high diagnostic accuracies with AUCs of 0.992 (95% Confidence Interval [95%CI] 0.986-0.996) and 0.977 (95%CI 0.963-0.990), respectively. IgG assays outperformed IgA assays (p=0.008). Taking an assessed 15% inter-assay imprecision into account, an optimized IgG ratio cut-off > 1.5 displayed a 100% specificity (95%CI 98-100) and a 100% positive predictive value (95%CI 97-100). A 0.5 cut-off displayed a 97% sensitivity (95%CI 93-99) and a 97% negative predictive value (95%CI 93-99). Substituting these thresholds for the manufacturers, improved assay performance, leaving 12% of IgG ratios indeterminate between 0.5-1.5. ConclusionsThe Euroimmun assay displays a nearly optimal diagnostic accuracy using IgG against SARS-CoV-2 in patient samples, with no obvious gains from IgA serology. The optimized cut-offs are fit for rule-in and rule-out purposes, allowing determination of whether individuals in our study population have been exposed to SARS-CoV-2 or not. IgG serology should however not be considered as a surrogate of protection at this stage.
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Full text: Available Collection: Preprints Database: medRxiv Type of study: Observational study / Prognostic study Language: English Year: 2020 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Observational study / Prognostic study Language: English Year: 2020 Document type: Preprint
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