Comparison of performance between three SARS-CoV-2 molecular assays (Aptima™, Laboratory Developed Test-Fusion, and R-GENE®) with special attention to turnaround time, a key point in laboratory management.

SARS-CoV-2 performance evaluation respiratory tract samples reverse transcriptase-polymerase chain reaction transcription-mediated amplification assay turnaround time

Journal

Journal of medical virology
ISSN: 1096-9071
Titre abrégé: J Med Virol
Pays: United States
ID NLM: 7705876

Informations de publication

Date de publication:
07 2022
Historique:
revised: 28 01 2022
received: 17 12 2021
accepted: 21 02 2022
pubmed: 26 2 2022
medline: 21 5 2022
entrez: 25 2 2022
Statut: ppublish

Résumé

The emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) highlights the importance of rapid diagnostic testing to identify individuals with SARS-CoV-2 infections and to limit the spread of the virus. Many molecular assays have become commercially available to cope with this surging demand for timely diagnosis of COVID-19 cases, but identifying individuals requires accurate diagnostic tools. We compared the performance of three molecular SARS-CoV-2 assays: Aptima™ SARS-CoV-2 assay running on the Panther system (Hologic), an in-house assay (Laboratory Developed Test, LDT) running on the Fusion module of the Panther Fusion system (LDT-Fusion; Hologic), and the R-GENE® SARS-CoV-2 assay (bioMérieux). In addition, we also evaluated the turnaround time. This parameter is crucial to managing the SARS-CoV-2 diagnosis and represents a key point in the quality management at the laboratory. Aptima™ and LDT-Fusion assays exhibited an excellent positive percent agreement (PPA) (100.0%), while the R-GENE® assay showed a slightly decreased PPA (98.2%). The Hologic assays have a higher throughput with less hands-on time than the R-GENE® assays (24-25 vs. 71 min). Both Hologic assays are used on a fully automated random-access testing system with on-demand testing capabilities that avoid run series, unlike the R-GENE® assay. Automated random-access testing systems should be preferred during periods of high SARS-CoV-2 prevalence.

Identifiants

pubmed: 35211992
doi: 10.1002/jmv.27675
pmc: PMC9088664
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

3399-3403

Informations de copyright

© 2022 Wiley Periodicals LLC.

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Auteurs

Caroline Lefeuvre (C)

Virology Department, Angers University Hospital, Angers, France.
Departement of virology, HIFIH Laboratory EA 3859, Université d'Angers, Angers, France.

Adeline Pivert (A)

Virology Department, Angers University Hospital, Angers, France.
Departement of virology, HIFIH Laboratory EA 3859, Université d'Angers, Angers, France.

Emilie Przyrowski (E)

Virology Department, Angers University Hospital, Angers, France.

Elise Bouthry (E)

Virology Department, Angers University Hospital, Angers, France.

Estelle Darviot (E)

Paediatric Department, Angers University Hospital, Angers, France.

Rafaël Mahieu (R)

Department of Infectious Diseases, Angers University Hospital, Angers, France.

Françoise Lunel-Fabiani (F)

Virology Department, Angers University Hospital, Angers, France.
Departement of virology, HIFIH Laboratory EA 3859, Université d'Angers, Angers, France.

Alexandra Ducancelle (A)

Virology Department, Angers University Hospital, Angers, France.
Departement of virology, HIFIH Laboratory EA 3859, Université d'Angers, Angers, France.

Hélène Le Guillou-Guillemette (H)

Virology Department, Angers University Hospital, Angers, France.
Departement of virology, HIFIH Laboratory EA 3859, Université d'Angers, Angers, France.

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