• English
    • العربية
  • العربية
  • Login
  • QU
  • QU Library
  •  Home
  • Communities & Collections
  • Help
    • Item Submission
    • Publisher policies
    • User guides
    • FAQs
  • About QSpace
    • Vision & Mission
View Item 
  •   Qatar University Digital Hub
  • Qatar University Institutional Repository
  • Academic
  • Faculty Contributions
  • College of Health Sciences
  • Biomedical Sciences
  • View Item
  • Qatar University Digital Hub
  • Qatar University Institutional Repository
  • Academic
  • Faculty Contributions
  • College of Health Sciences
  • Biomedical Sciences
  • View Item
  •      
  •  
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Analytic comparison between three high-throughput commercial SARS-CoV-2 antibody assays reveals minor discrepancies in a high-incidence population

    Thumbnail
    View/Open
    Analytic comparison between three highthroughput commercial SARSCoV2.pdf (1.457Mb)
    Date
    2021-06-01
    Author
    Nasrallah, Gheyath K
    Dargham, Soha R
    Shurrab, Farah
    Al-Sadeq, Duaa W
    Al-Jighefee, Hadeel
    Chemaitelly, Hiam
    Al Kanaani, Zaina
    Al Khal, Abdullatif
    Al Kuwari, Einas
    Coyle, Peter
    Jeremijenko, Andrew
    Kaleeckal, Anvar Hassan
    Latif, Ali Nizar
    Shaik, Riyazuddin Mohammad
    Rahim, Hanan F Abdul
    Yassine, Hadi M
    Al Kuwari, Mohamed G
    Qotba, Hamda
    Al Romaihi, Hamad Eid
    Tang, Patrick
    Bertollini, Roberto
    Al-Thani, Mohamed H
    Althani, Asmaa A
    Abu-Raddad, Laith J
    ...show more authors ...show less authors
    Metadata
    Show full item record
    Abstract
    Performance of three automated commercial serological IgG-based assays was investigated for assessing SARS-CoV-2 "ever" (past or current) infection in a population-based sample in a high exposure setting. PCR and serological testing was performed on 394 individuals. SARS-CoV-2-IgG seroprevalence was 42.9% (95% CI 38.1-47.8%), 40.6% (95% CI 35.9-45.5%), and 42.4% (95% CI 37.6-47.3%) using the CL-900i, VidasIII, and Elecsys assays, respectively. Between the three assays, overall, positive, and negative percent agreements ranged between 93.2-95.7%, 89.3-92.8%, and 93.8-97.8%, respectively; Cohen's kappa statistic ranged from 0.86 to 0.91; and 35 specimens (8.9%) showed discordant results. Among all individuals, 12.5% (95% CI 9.6-16.1%) had current infection, as assessed by PCR. Of these, only 34.7% (95% CI 22.9-48.7%) were seropositive by at least one assay. A total of 216 individuals (54.8%; 95% CI 49.9-59.7%) had evidence of ever infection using antibody testing and/or PCR during or prior to this study. Of these, only 78.2%, 74.1%, and 77.3% were seropositive in the CL-900i, VidasIII, and Elecsys assays, respectively. All three assays had comparable performance and excellent agreement, but missed at least 20% of individuals with past or current infection. Commercial antibody assays can substantially underestimate ever infection, more so when infection rates are high.
    DOI/handle
    http://dx.doi.org/10.1038/s41598-021-91235-x
    http://hdl.handle.net/10576/20550
    Collections
    • Biomedical Research Center Research [‎786‎ items ]
    • Biomedical Sciences [‎802‎ items ]
    • COVID-19 Research [‎848‎ items ]

    entitlement


    Qatar University Digital Hub is a digital collection operated and maintained by the Qatar University Library and supported by the ITS department

    Contact Us | Send Feedback
    Contact Us | Send Feedback | QU

     

     

    Home

    Submit your QU affiliated work

    Browse

    All of Digital Hub
      Communities & Collections Publication Date Author Title Subject Type Language Publisher
    This Collection
      Publication Date Author Title Subject Type Language Publisher

    My Account

    Login

    Statistics

    View Usage Statistics

    About QSpace

    Vision & Mission

    Help

    Item Submission Publisher policiesUser guides FAQs

    Qatar University Digital Hub is a digital collection operated and maintained by the Qatar University Library and supported by the ITS department

    Contact Us | Send Feedback
    Contact Us | Send Feedback | QU

     

     

    Video