Selected article for: "coincidence rate and PCR negative"

Author: Pingping Zhang; Qi Gao; Tang Wang; Yuehua Ke; Fei Mo; Ruizhong Jia; Wanbing Liu; Lei Liu; Shangen Zheng; Yuzhen Liu; Luping Li; Yao Wang; Lei Xu; Kun Hao; Ruifu Yang; Shiyue Li; Changqing Lin; Yong Zhao
Title: Evaluation of recombinant nucleocapsid and spike proteins for serological diagnosis of novel coronavirus disease 2019 (COVID-19)
  • Document date: 2020_3_20
  • ID: 7atoko6c_29
    Snippet: The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.03.17.20036954 doi: medRxiv preprint GICA strip performances on serum samples 1 Altogether, 814 serum samples from HCoV-19-suspected patients were tested on 2 GICA strips, including 122 patients confirmed to be RT-PCR positive, 660 confirmed 3 to be RT-PCR negative, and 32 confirmed to be RT-PCR negative but clinically 4 diagnosed by compute.....
    Document: The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.03.17.20036954 doi: medRxiv preprint GICA strip performances on serum samples 1 Altogether, 814 serum samples from HCoV-19-suspected patients were tested on 2 GICA strips, including 122 patients confirmed to be RT-PCR positive, 660 confirmed 3 to be RT-PCR negative, and 32 confirmed to be RT-PCR negative but clinically 4 diagnosed by computed tomography (CT). The positive coincidence and negative 5 coincidence rates between GICA and RT-PCR were 86.89% and 99.39%, respectively 6 (Table 3) . Moreover, among the 32 RT-PCR negative clinically diagnosed samples, 21 7 (65.63%) were detectable by GICA. This shows that GICA has a high coincidence 8 rate with RT-PCR tests and also complements the PCR negative, clinically diagnosed 9 cases, providing a potentially powerful serological tool for diagnosing COVID-19 in 10 patients. high level during the immune response to viral invasion. Therefore, serological testing 20 All rights reserved. No reuse allowed without permission. author/funder, who has granted medRxiv a license to display the preprint in perpetuity.

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