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Comparison of Two High-Throughput Reverse Transcription-PCR Systems for the Detection of Severe Acute Respiratory Syndrome Coronavirus 2.
- Source :
-
Journal of clinical microbiology [J Clin Microbiol] 2020 Jul 23; Vol. 58 (8). Date of Electronic Publication: 2020 Jul 23 (Print Publication: 2020). - Publication Year :
- 2020
-
Abstract
- 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 ( P value = 0.88; Student's t test). Taken together, these data imply that the two platforms can be considered comparable in terms of their clinical performance. We believe that this information will be useful for those who have already adopted these platforms or are seeking to implement high-throughput RT-PCR testing to stem the SARS-CoV-2 pandemic.<br /> (Copyright © 2020 American Society for Microbiology.)
- Subjects :
- Betacoronavirus genetics
COVID-19
Coronavirus Infections virology
Humans
Nasopharynx virology
Pandemics
Pneumonia, Viral virology
SARS-CoV-2
United States
Betacoronavirus isolation & purification
Coronavirus Infections diagnosis
High-Throughput Screening Assays
Pneumonia, Viral diagnosis
Reverse Transcriptase Polymerase Chain Reaction methods
Subjects
Details
- Language :
- English
- ISSN :
- 1098-660X
- Volume :
- 58
- Issue :
- 8
- Database :
- MEDLINE
- Journal :
- Journal of clinical microbiology
- Publication Type :
- Academic Journal
- Accession number :
- 32381643
- Full Text :
- https://doi.org/10.1128/JCM.00890-20