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Multi-site Validation of a SARS-CoV-2 IgG/IgM Rapid Antibody Detection Kit
Christopher Minteer; Arnau Casanovas-Massana; Tao Li; David McDonald; Linda Wang; Si Hui Pan; David Caianiello; Jesse Collinski; Edward deRamon; Robert Hale; Rebecca Howell; Jason Ray; Joseph Vinetz; Morgan Levine; Albert Ko; David Spiegel.
Afiliação
  • Christopher Minteer; Yale University, Department of Pathology, New Haven CT, USA.
  • Arnau Casanovas-Massana; Yale School of Public Health, Department of Epidemiology and Microbial Diseases, New Haven CT, USA.
  • Tao Li; The First Affiliated Hospital of Anhui Medical University, Department of Clinical Laboratory, Hefei 230032, China.
  • David McDonald; Yale University, Department of Chemistry, New Haven CT, USA.
  • Linda Wang; Biohit Healthcare (Hefei) Co., Ltd, Hefei 230032, China.
  • Si Hui Pan; Yale University, Department of Chemistry, New Haven CT, USA.
  • David Caianiello; Yale University, Department of Chemistry, New Haven CT, USA.
  • Jesse Collinski; Yale University, Department of Immunology, New Haven, CT, USA.
  • Edward deRamon; Yale University, Department of Chemistry, New Haven CT, USA.
  • Robert Hale; Yale University, Department of Chemistry, New Haven CT, USA.
  • Rebecca Howell; Yale University, Department of Chemistry, New Haven CT, USA.
  • Jason Ray; Yale University, Department of Chemistry, New Haven CT, USA.
  • Joseph Vinetz; Yale University, Department of Internal Medicine, Section of Infectious Diseases, New Haven CT, USA.
  • Morgan Levine; Yale University, Department of Pathology, New Haven CT, USA.
  • Albert Ko; Yale School of Public Health, Department of Epidemiology and Microbial Diseases, New Haven CT, USA.
  • David Spiegel; Yale University, Department of Chemistry, New Haven CT, USA.
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20112227
ABSTRACT
Deaths from coronavirus disease (COVID-19) have exceeded 300,000 persons globally, calling for rapid development of mobile diagnostics that can assay widespread prevalence and infection rates. Data provided in this study supports the utility of a newly-designed lateral flow immunoassay (LFA) for detecting SARS-CoV-2 IgM and IgG antibodies. We employed a clinical cohort of 1,892 SARS-CoV-2 patients and controls, including individuals diagnosed by RT-qPCR at Yale New Haven Hospital, The First Affiliated Hospital of Anhui Medical University, the Chinese Center for Disease Control and Prevention of Hefei City (Hefei CDC), Anhui Province (Anhui Province CDC), and Fuyang City (Fuyang CDC). The LFA studied here detects SARS-CoV-2 IgM and IgG antibodies with a specificity of 97.9-100% for IgM, 99.7-100% for IgG, and sensitivities ranging from 94.1-100% for patients >14-days post symptom onset. Sensitivity decreases in patients <14-days post symptom onset, which is likely due to lower IgG/IgM antibody levels in this population. Finally, we developed a visual intensity reporting system that we believe will be suitable for laboratory and point-of-care settings, and will provide granular information about antibody levels. Overall our results support the widespread utility of this and other LFAs in assessing population-level epidemiological statistics.
Licença
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Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Cohort_studies / Estudo diagnóstico / Estudo observacional / Estudo prognóstico Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Cohort_studies / Estudo diagnóstico / Estudo observacional / Estudo prognóstico Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
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