Evaluation of the rapid antigen detection test STANDARD F COVID-19 Ag FIA for diagnosing SARS-CoV-2 : experience from an Emergency Department

Copyright © 2022 Elsevier Inc. All rights reserved..

The purpose of this study was to assess the clinical performance of STANDARD F COVID-19 Ag FIA (SD Biosensor Inc., Gyeonggi-do, Republic of Korea), a rapid antigen detection test (RADT) for diagnosing SARS-CoV-2, in patients attended at the Emergency Department with signs or symptoms compatible with COVID-19 that had started in the last 5 days. The clinical performance of the antigen test was compared with RT-PCR, the reference standard. We included 663 specimens from non-repetitive patients. Clinical sensitivity and specificity were 84.0% (95% CI 76.1-89.7) and 99.6% (95% CI 98.5-99.9), respectively. The positive and negative predictive values were 98.1% (95% CI 92.7-99.7) and 96.4% (95% CI 94.4-97.7), respectively. The kappa index agreement between RT-PCR and the RADT was 0.89 (95% CI 0.84-0.93). We concluded that STANDARD F COVID-19 Ag FIA is an excellent first-line RADT method to diagnose symptomatic patients in the emergency department.

Medienart:

E-Artikel

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

Zur Gesamtaufnahme - volume:103

Enthalten in:

Diagnostic microbiology and infectious disease - 103(2022), 2 vom: 15. Juni, Seite 115683

Sprache:

Englisch

Beteiligte Personen:

García-Fernández, Sergio [VerfasserIn]
Pablo-Marcos, Daniel [VerfasserIn]
de la Fuente, Silvia Velasco [VerfasserIn]
Rodríguez, María José Reina [VerfasserIn]
Gozalo, Mónica [VerfasserIn]
Rodríguez-Lozano, Jesús [VerfasserIn]
Méndez-Legaza, José Manuel [VerfasserIn]
Calvo, Jorge [VerfasserIn]

Links:

Volltext

Themen:

Antigens, Viral
COVID-19
Emergency Department
Journal Article
Rapid antigen test
SARS-CoV-2

Anmerkungen:

Date Completed 10.05.2022

Date Revised 21.12.2022

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.diagmicrobio.2022.115683

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM339512296