Comparison of Two High-Throughput Reverse Transcription-PCR Systems for the Detection of Severe Acute Respiratory Syndrome Coronavirus 2.


Journal

Journal of clinical microbiology
ISSN: 1098-660X
Titre abrégé: J Clin Microbiol
Pays: United States
ID NLM: 7505564

Informations de publication

Date de publication:
23 Jul 2020
Historique:
received: 25 04 2020
accepted: 05 05 2020
pubmed: 10 5 2020
medline: 6 8 2020
entrez: 9 5 2020
Statut: epublish

Résumé

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has emerged as the cause of a worldwide pandemic. Many commercial SARS-CoV-2 reverse transcription-PCR (RT-PCR) assays have received Emergency Use Authorization from the U.S. Food and Drug Administration. However, there are limited data describing their performance, in particular the performance of high-throughput SARS-CoV-2 RT-PCR systems. We analyzed the diagnostic performance of two high-throughput systems: cobas 6800 and Panther Fusion, and their associated RT-PCR assays, with a collection of 389 nasopharyngeal specimens. The overall agreement between the platforms was 96.4% (375/389). Cohen's kappa analysis rated the strength of agreement between the two platforms as "almost perfect" (κ = 0.922; standard error, 0.051). Furthermore, there was no significant difference between corresponding cycle threshold values generated on the two systems (

Identifiants

pubmed: 32381643
pii: JCM.00890-20
doi: 10.1128/JCM.00890-20
pmc: PMC7383551
pii:
doi:

Types de publication

Comparative Study Evaluation Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2020 American Society for Microbiology.

Références

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pubmed: 23092060
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pubmed: 32217609
J Clin Microbiol. 2020 Jul 23;58(8):
pubmed: 32327448
J Clin Microbiol. 2020 Jul 23;58(8):
pubmed: 32303565
J Clin Microbiol. 2020 Jul 23;58(8):
pubmed: 32303564
Lancet. 2020 Feb 15;395(10223):507-513
pubmed: 32007143

Auteurs

Arryn R Craney (AR)

Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, New York, USA.

Priya D Velu (PD)

Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, New York, USA.

Michael J Satlin (MJ)

Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, New York, New York, USA.

Kathy A Fauntleroy (KA)

NewYork-Presbyterian Hospital-Weill Cornell Medical Center, New York, New York, USA.

Katrina Callan (K)

NewYork-Presbyterian Hospital-Weill Cornell Medical Center, New York, New York, USA.

Amy Robertson (A)

NewYork-Presbyterian Hospital-Weill Cornell Medical Center, New York, New York, USA.

Marisa La Spina (M)

NewYork-Presbyterian Hospital-Weill Cornell Medical Center, New York, New York, USA.

Beryl Lei (B)

NewYork-Presbyterian Hospital-Weill Cornell Medical Center, New York, New York, USA.

Anqi Chen (A)

NewYork-Presbyterian Hospital-Weill Cornell Medical Center, New York, New York, USA.

Tricia Alston (T)

NewYork-Presbyterian Hospital-Weill Cornell Medical Center, New York, New York, USA.

Anna Rozman (A)

NewYork-Presbyterian Hospital-Weill Cornell Medical Center, New York, New York, USA.

Massimo Loda (M)

Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, New York, USA.

Hanna Rennert (H)

Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, New York, USA.

Melissa Cushing (M)

Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, New York, USA.

Lars F Westblade (LF)

Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, New York, USA law9067@med.cornell.edu.
Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, New York, New York, USA.

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Classifications MeSH