Back to Search Start Over

Performance evaluation of the QIAstat-Dx® Respiratory SARS-CoV-2 Panel

Authors :
Josep Pareja
Bernard Gout
Quentin Le Hingrat
Maria del Carmen Cerdan
Joanna Love
Davide Manissero
Gustave Ardila Tjader
Diane Descamps
Nadhira Houhou-Fidouh
Alexandre Storto
Benoit Visseaux
Samuel Lebourgeois
Alistair English
Source :
International Journal of Infectious Diseases, Vol 107, Iss, Pp 179-181 (2021), International Journal of Infectious Diseases
Publication Year :
2021
Publisher :
Elsevier, 2021.

Abstract

Graphical abstract<br />Objective The aim of this study was to evaluate the QIAstat-Dx® Respiratory SARS-CoV-2 Panel (QIAstat-SARS-CoV-2), which is a closed, fully automated, multiplex polymerase chain reaction (PCR) assay that detects severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and 21 other pathogens that cause respiratory disease. Methods Nasopharyngeal swabs from patients with, or suspected of having, coronavirus disease 2019 were collected and tested at Bichat-Claude Bernard Hospital, Paris, France. Using the World Heath Organisation-approved real-time-PCR assay developed by the Charité Institute of Virology as the reference, positive percent agreement (PPA) and negative percent agreement (NPA) were calculated. Results In total, 189 negative and 88 positive samples were analysed. QIAstat-SARS-CoV-2 had a NPA of 90.48% (95% confidence interval (CI), 85.37%, 94.26%) and a PPA of 94.32% (95% CI, 87.24%, 98.13%). Co-infections were detected by QIAstat-SARS-CoV-2 in 4/277 specimens. The methods exhibited comparable failure rates (23/307 [7.5%] vs 6/298 [2.0%] for QIAstat-SARS-CoV-2 and reference methods, respectively). The turnaround time was shorter for QIAstat-SARS-CoV-2 compared with the reference method (difference in mean –14:30 h [standard error, 0:03:23; 95% CI, –14:37, –14:24]; P

Details

Language :
English
ISSN :
12019712
Volume :
107
Database :
OpenAIRE
Journal :
International Journal of Infectious Diseases
Accession number :
edsair.doi.dedup.....2c185e22456e13e3c5df9f7caae9b7d2