Performance comparison of five sars-cov-2 antibody assays for seroprevalence studies

  • Younhee Park
  • , Ki Ho Hong
  • , Su Kyung Lee
  • , Jungwon Hyun
  • , Eun Jee Oh
  • , Jaehyeon Lee
  • , Hyukmin Lee
  • , Sang Hoon Song
  • , Seung Jung Kee
  • , Gye Cheol Kwon
  • , Su Hwan Kim
  • , Hyeon Nam Do
  • , Ah Ra Kim
  • , June Woo Lee
  • , Sung Soon Kim
  • , Hyun Soo Kim*
  • *Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

Abstract

Background: Seroprevalence studies of coronavirus disease 2019 (COVID-19) cases, including asymptomatic and past infections, are important to estimate the scale of the disease outbreak and to establish quarantine measures. We evaluated the clinical performance of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibody assays available in Korea for use in seroprevalence studies. Methods: The sensitivity, specificity, cross-reactivity, and interference of five SARS-CoV-2 antibody assays were evaluated using the following: 398 serum samples from confirmed COVID-19 patients, 510 negative control samples from before 2018 (pre-pandemic), 163 serum samples from patients with SARS, Middle East respiratory syndrome (MERS), and other viral infections, and five samples for the interference study. Results: The sensitivities of the five assays ranged from 92.2% to 98%, and their specificities, including cross-reactivity and interference, ranged from 97.5% to 100%. The agreement rates were excellent (kappa >0.9). Adjustment of the cutoff values could be considered through ROC curve analysis. The positive predictive values of the individual assays varied from 3.5% to 100% at a 0.1% prevalence but were as high as ≥95% when two assays were combined.Conclusions: The prevalence of COVID-19 in Korea is considered to be exceptionally low at present; thus, we recommend using a combination of two or more SARS-CoV-2 antibody assays rather than a single assay. These results could help select SARS-CoV-2 antibody assays for COVID-19 seroprevalence studies in Korea.

Original languageEnglish
Pages (from-to)71-78
Number of pages8
JournalAnnals of Laboratory Medicine
Volume42
Issue number1
DOIs
StatePublished - 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Antibody
  • COVID-19
  • SARS-CoV-2
  • Seroprevalence

Quacquarelli Symonds(QS) Subject Topics

  • Medicine
  • Biological Sciences

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