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  • Antibody detection offers vital clinical information during the course of SARS-CoV-2 infection. The findings provide strong empirical support for the routine application of serological testing in the diagnosis and management of COVID-19 patients.
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  • pmid:32221519, PMC7184337, doi:10.1093/cid/ciaa344, Research Support, Non-U.S. Gov't, Juanjuan Zhao, Quan Yuan, Zheng Zhang, PubMed Abstract, NIH, NLM, NCBI, National Institutes of Health, National Center for Biotechnology Information, National Library of Medicine, MEDLINE
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  • Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
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  • Clin Infect Dis
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  • Clin Infect Dis
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  • 2020/11/19
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  • Antibody Responses to SARS-CoV-2 in Patients With Novel Coronavirus Disease 2019
https://pubmed.ncb.../#citation_author
  • Bin He
  • Congming Hong
  • Fuxiang Wang
  • Haiyan Wang
  • Jing Yuan
  • Jinxiu Li
  • Juanjuan Zhao
  • Jun Zhang
  • Lei Liu
  • Ningshao Xia
  • Qing He
  • Quan Yuan
  • Shen Qian
  • Shengxiang Ge
  • Tianying Zhang
  • Tingdong Li
  • Wei Liu
  • Xin Wang
  • Xuejiao Liao
  • Yang Fu
  • Yingxia Liu
  • Yingying Su
  • Zhaoqin Wang
  • Zheng Zhang
  • Zhiyong Li
https://pubmed.ncb...uthor_institution
  • School of Medicine, Southern University of Science and Technology, Shenzhen, China.
  • School of Public Health, Xiamen University, Xiamen, China.
  • The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, China.
  • Institute of Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People's Hospital, Shenzhen, China.
  • Department of Critical Care Medicine, Shenzhen Third People's Hospital, Shenzhen, China.
  • The State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Collaborative Innovation Center of Biologic Products, School of Public Health and School of Life Science, Xiamen University, Xiamen, China.
  • Department for Infectious Diseases, Shenzhen Third People's Hospital, Shenzhen, China.
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  • 32221519
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  • 10.1093/cid/ciaa344
https://pubmed.ncb...19/#citation_issn
  • 1537-6591
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  • English
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  • COVID-19; SARS-CoV-2; antibody.
https://pubmed.ncb...citation_abstract
  • Background

    The novel coronavirus SARS-CoV-2 is a newly emerging virus. The antibody response in infected patients remains largely unknown, and the clinical value of antibody testing has not been fully demonstrated.

    Methods

    173 patients with SARS-CoV-2 infection were enrolled. Their serial plasma samples (n = 535) collected during hospitalization were tested for total antibodies (Ab), IgM, and IgG against SARS-CoV-2. The dynamics of antibodies with disease progress were analyzed.

    Results

    Among 173 patients, the seroconversion rates for Ab, IgM, and IgG were 93.1%, 82.7%, and 64.7%, respectively. The reason for the negative antibody findings in 12 patients might be due to the lack of blood samples at the later stage of illness. The median seroconversion times for Ab, IgM, and then IgG were days 11, 12, and 4, respectively. The presence of antibodies was <40% among patients within 1 week of onset, and rapidly increased to 100.0% (Ab), 94.3% (IgM), and 79.8% (IgG) by day 15 after onset. In contrast, RNA detectability decreased from 66.7% (58/87) in samples collected before day 7 to 45.5% (25/55) during days 15-39. Combining RNA and antibody detection significantly improved the sensitivity of pathogenic diagnosis for COVID-19 (P < .001), even in the early phase of 1 week from onset (P = .007). Moreover, a higher titer of Ab was independently associated with a worse clinical classification (P = .006).

    Conclusions

    Antibody detection offers vital clinical information during the course of SARS-CoV-2 infection. The findings provide strong empirical support for the routine application of serological testing in the diagnosis and management of COVID-19 patients.

Title
  • Antibody Responses to SARS-CoV-2 in Patients With Novel Coronavirus Disease 2019
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Subject
  • pmid:32221519, PMC7184337, doi:10.1093/cid/ciaa344, Research Support, Non-U.S. Gov't, Juanjuan Zhao, Quan Yuan, Zheng Zhang, PubMed Abstract, NIH, NLM, NCBI, National Institutes of Health, National Center for Biotechnology Information, National Library of Medicine, MEDLINE
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