Comparative diagnostic performance of rapid antigen detection tests for COVID-19 in a hospital setting.


Journal

International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases
ISSN: 1878-3511
Titre abrégé: Int J Infect Dis
Pays: Canada
ID NLM: 9610933

Informations de publication

Date de publication:
Jun 2021
Historique:
received: 31 03 2021
revised: 22 04 2021
accepted: 23 04 2021
pubmed: 1 5 2021
medline: 3 7 2021
entrez: 30 4 2021
Statut: ppublish

Résumé

The availability of accurate and rapid diagnostic tools for COVID-19 is essential for tackling the ongoing pandemic. Our study aimed to quantify the performance of available antigen-detecting rapid diagnostic tests (Ag-RDTs) in a real-world hospital setting. In this retrospective analysis, the diagnostic performance of 7 Ag-RDTs was compared with real-time reverse transcription quantitative polymerase chain reaction assay in terms of sensitivity, specificity and expected predictive values. A total of 321 matched Ag-RDTreal-time reverse transcription quantitative polymerase chain reaction samples were analyzed retrospectively. The overall sensitivity and specificity of the Ag-RDTs was 78.7% and 100%, respectively. However, a wide range of sensitivity estimates by brand (66.0%-93.8%) and cycle threshold (Ct) cut-off values (Ct <25: 96.2%; Ct 30-35: 31.1%) was observed. The optimal Ct cut-off value that maximized sensitivity was 29. The routine use of Ag-RDTs may be convenient in moderate-to-high intensity settings when high volumes of specimens are tested every day. However, the diagnostic performance of the commercially available tests may differ substantially.

Sections du résumé

BACKGROUND BACKGROUND
The availability of accurate and rapid diagnostic tools for COVID-19 is essential for tackling the ongoing pandemic. Our study aimed to quantify the performance of available antigen-detecting rapid diagnostic tests (Ag-RDTs) in a real-world hospital setting.
METHODS METHODS
In this retrospective analysis, the diagnostic performance of 7 Ag-RDTs was compared with real-time reverse transcription quantitative polymerase chain reaction assay in terms of sensitivity, specificity and expected predictive values.
RESULTS RESULTS
A total of 321 matched Ag-RDTreal-time reverse transcription quantitative polymerase chain reaction samples were analyzed retrospectively. The overall sensitivity and specificity of the Ag-RDTs was 78.7% and 100%, respectively. However, a wide range of sensitivity estimates by brand (66.0%-93.8%) and cycle threshold (Ct) cut-off values (Ct <25: 96.2%; Ct 30-35: 31.1%) was observed. The optimal Ct cut-off value that maximized sensitivity was 29.
CONCLUSIONS CONCLUSIONS
The routine use of Ag-RDTs may be convenient in moderate-to-high intensity settings when high volumes of specimens are tested every day. However, the diagnostic performance of the commercially available tests may differ substantially.

Identifiants

pubmed: 33930540
pii: S1201-9712(21)00384-2
doi: 10.1016/j.ijid.2021.04.072
pmc: PMC8078031
pii:
doi:

Substances chimiques

Antigens, Viral 0

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

215-218

Informations de copyright

Copyright © 2021 The Author(s). Published by Elsevier Ltd.. All rights reserved.

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Auteurs

Bianca Bruzzone (B)

Hygiene Unit, San Martino Policlinico Hospital - IRCCS for Oncology and Neurosciences, Genoa, Italy.

Vanessa De Pace (V)

Hygiene Unit, San Martino Policlinico Hospital - IRCCS for Oncology and Neurosciences, Genoa, Italy.

Patrizia Caligiuri (P)

Hygiene Unit, San Martino Policlinico Hospital - IRCCS for Oncology and Neurosciences, Genoa, Italy.

Valentina Ricucci (V)

Hygiene Unit, San Martino Policlinico Hospital - IRCCS for Oncology and Neurosciences, Genoa, Italy.

Giulia Guarona (G)

Hygiene Unit, San Martino Policlinico Hospital - IRCCS for Oncology and Neurosciences, Genoa, Italy.

Beatrice M Pennati (BM)

Department of Health Sciences, University of Genoa, Genoa, Italy.

Simona Boccotti (S)

Hygiene Unit, San Martino Policlinico Hospital - IRCCS for Oncology and Neurosciences, Genoa, Italy; Department of Health Sciences, University of Genoa, Genoa, Italy.

Andrea Orsi (A)

Hygiene Unit, San Martino Policlinico Hospital - IRCCS for Oncology and Neurosciences, Genoa, Italy; Department of Health Sciences, University of Genoa, Genoa, Italy.

Alexander Domnich (A)

Hygiene Unit, San Martino Policlinico Hospital - IRCCS for Oncology and Neurosciences, Genoa, Italy. Electronic address: alexander.domnich@hsanmartino.it.

Giorgio Da Rin (G)

Laboratory Medicine, San Martino Policlinico Hospital - IRCCS for Oncology and Neurosciences, 16132 Genoa, Italy.

Giancarlo Icardi (G)

Hygiene Unit, San Martino Policlinico Hospital - IRCCS for Oncology and Neurosciences, Genoa, Italy; Department of Health Sciences, University of Genoa, Genoa, Italy.

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Classifications MeSH