Your browser doesn't support javascript.
loading
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) seroprevalence: Navigating the absence of a gold standard
Sahar Saeed; Sheila F O'Brein; Kento Abe; QiLong Yi; Bhavisha Rathod; Jenny Wang; Mahya Fazel-Zarandi; Ashleigh Tuite; David Fisman; Heidi Wood; Karen Colwill; Anne-Claude Gingras; Steven Drews.
Afiliação
  • Sahar Saeed; Canadian Blood Services
  • Sheila F O'Brein; Canadian Blood Services
  • Kento Abe; Lunenfeld-Tanenbaum Research Institute at Mt. Sinai Hospital
  • QiLong Yi; Canadian Blood Services
  • Bhavisha Rathod; Lunenfeld-Tanenbaum Research Institute at Mt. Sinai Hospital
  • Jenny Wang; Lunenfeld-Tanenbaum Research Institute at Mt. Sinai Hospital
  • Mahya Fazel-Zarandi; Lunenfeld-Tanenbaum Research Institute at Mt. Sinai Hospital
  • Ashleigh Tuite; Dalla Lana School of Public Health
  • David Fisman; Dalla Lana School of Public Health
  • Heidi Wood; National Microbiology Laboratory
  • Karen Colwill; Lunenfeld-Tanenbaum Research Institute at Mt. Sinai Hospital
  • Anne-Claude Gingras; Lunenfeld-Tanenbaum Research Institute at Mt. Sinai Hospital
  • Steven Drews; Canadian Blood Services
Preprint em En | PREPRINT-MEDRXIV | ID: ppmedrxiv-21256992
Artigo de periódico
Um artigo publicado em periódico científico está disponível e provavelmente é baseado neste preprint, por meio do reconhecimento de similaridade realizado por uma máquina. A confirmação humana ainda está pendente.
Ver artigo de periódico
ABSTRACT
BackgroundMultiple anti-SARS-CoV-2 immunoassays are available, but no gold standard exists. We assessed four assays using various methodological approaches to estimate SARS-COV-2 seroprevalence during the first COVID-19 wave in Canada. MethodsThis serial cross-sectional study was conducted using plasma samples from healthy blood donors between April-September 2020. Qualitative assessment of SARS-CoV-2 IgG antibodies was based on four assays Abbott Architect SARS-Cov-2 IgG assay (target nucleocapsid) (Abbott-NP) and three in-house IgG ELISA assays (target spike glycoprotein (Spike), spike receptor binding domain (RBD), and nucleocapsid (NP)). Seroprevalence was estimated using multiple composite reference standards (CRS) and by a series of Bayesian Latent Class Models (BLCM) (using uninformative, weakly, and informative priors). Results8999 blood samples were tested. The Abbott-NP assay consistently estimated seroprevalence to be lower than the ELISA-based assays. Discordance between assays was common, 13 unique diagnostic phenotypes were observed. Only 32 samples (0.4%) were positive by all four assays. BLCM using uninformative priors predicted seroprevalence increased from 0.7% (95% credible interval (CrI); 0.4, 1.0%) in April/May to 0.8% (95% CrI 0.5, 1.2%) in June/July to 1.1% (95% CrI 0.7, 1.6) in August/September. Results from CRS were very similar to the BLCM. Assay characteristics varied considerably over time. Overall spike had the highest sensitivity (89.1% (95% CrI 79.2, 96.9%), while the sensitivity of the Abbott-NP assay waned from 65.3% (95% CrI 43.6, 85.0%) in April/May to 45.9% (95% CrI 27.8, 65.6) by August/September. DiscussionWe found low SARS-CoV-2 seroprevalence rates at the end of the first wave and estimates derived from single assays may be biased. SummaryMultiple anti-SARS-CoV-2 immunoassays are available, but no gold standard exists. We used four unique assays to estimate very low SARS-COV-2 seroprevalence during the first COVID-19 wave in Canada. Caution should be exercised when interpretating seroprevalence estimates from single assays.
Licença
cc_by_nc_nd
Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-MEDRXIV Tipo de estudo: Observational_studies / Prognostic_studies / Qualitative_research / Rct Idioma: En Ano de publicação: 2021 Tipo de documento: Preprint
Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-MEDRXIV Tipo de estudo: Observational_studies / Prognostic_studies / Qualitative_research / Rct Idioma: En Ano de publicação: 2021 Tipo de documento: Preprint