Publication

Impact of repeated nasal sampling on detection and quantification of SARS-CoV-2

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Last modified
  • 05/15/2025
Type of Material
Authors
    Joshua Levy, Emory UniversityJennifer Frediani, Emory UniversityErika A. Tyburski, Atlanta Center for Microsystems-Engineered Point-of-Care TechnologiesAnna Wood, Emory UniversityJanet Figueroa, Emory UniversityRussell Kempker, Emory UniversityPaulina Rebolledo, Emory UniversityMark D. Gonzalez, Atlanta Center for Microsystems-Engineered Point-of-Care TechnologiesJulie Sullivan, Atlanta Center for Microsystems-Engineered Point-of-Care TechnologiesMiriam Vos, Emory UniversityJared O'Neal, Atlanta Center for Microsystems-Engineered Point-of-Care TechnologiesGregory Martin, Emory UniversityWilbur Lam, Emory UniversityJesse Waggoner, Emory University
Language
  • English
Date
  • 2021-12-01
Publisher
  • Nature
Publication Version
Copyright Statement
  • © The Author(s) 2021
License
Final Published Version (URL)
Title of Journal or Parent Work
Volume
  • 11
Issue
  • 1
Start Page
  • 14903
End Page
  • 14903
Grant/Funding Information
  • RADx, Grant/Award Number: U54 EB027690 02S1, UL1 TR002378.
Supplemental Material (URL)
Abstract
  • The impact of repeated sample collection on COVID-19 test performance is unknown. The FDA and CDC currently recommend the primary collection of diagnostic samples to minimize the perceived risk of false-negative findings. We therefore evaluated the association between repeated sample collection and test performance among 325 symptomatic patients undergoing COVID-19 testing in Atlanta, GA. High concordance was found between consecutively collected mid-turbinate samples with both molecular (n = 74, 100% concordance) and antigen-based (n = 147, 97% concordance, kappa = 0.95, CI = 0.88–1.00) diagnostic assays. Repeated sample collection does not decrease COVID-19 test performance, demonstrating that multiple samples can be collected for assay validation and clinical diagnosis.
Author Notes
Keywords
Research Categories
  • Biology, Virology
  • Gerontology
  • Health Sciences, Immunology

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