scholarly journals Evaluation of Reverse Transcription-PCR Assays for Rapid Diagnosis of Severe Acute Respiratory Syndrome Associated with a Novel Coronavirus

2003 ◽  
Vol 41 (10) ◽  
pp. 4521-4524 ◽  
Author(s):  
W. C. Yam ◽  
K. H. Chan ◽  
L. L. M. Poon ◽  
Y. Guan ◽  
K. Y. Yuen ◽  
...  
2020 ◽  
Vol 58 (8) ◽  
Author(s):  
Arryn R. Craney ◽  
Priya D. Velu ◽  
Michael J. Satlin ◽  
Kathy A. Fauntleroy ◽  
Katrina Callan ◽  
...  

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.


2010 ◽  
Vol 110 (1) ◽  
pp. 54-60 ◽  
Author(s):  
M. Peredeltchouk ◽  
S.A. Wilson David ◽  
B. Bhattacharya ◽  
D.V. Volokhov ◽  
V. Chizhikov

1997 ◽  
Vol 35 (4) ◽  
pp. 976-977 ◽  
Author(s):  
H H Kessler ◽  
B Santner ◽  
H Rabenau ◽  
A Berger ◽  
A Vince ◽  
...  

2020 ◽  
Vol 129 ◽  
pp. 104510 ◽  
Author(s):  
Zsófia Iglói ◽  
Margareta leven ◽  
Zain Abdel-Karem Abou-Nouar ◽  
Babette Weller ◽  
Veerle Matheeussen ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document