Author: Bicheng Zhang; Xiaoyang Zhou; Chengliang Zhu; Fan Feng; Yanru Qiu; Jia Feng; Qingzhu Jia; Qibin Song; Bo Zhu; Jun Wang
Title: Immune phenotyping based on neutrophil-to-lymphocyte ratio and IgG predicts disease severity and outcome for patients with COVID-19 Document date: 2020_3_16
ID: 68193u0a_24
Snippet: Lymphopenia, neutrophilia, and high NLR are commonly presented and associated with more severe viral infection. 3, 11, 12 Recent data indicated that the NLR was identified as a powerful predictive and prognostic factor for severe COVID-19. 5 Thus, we develop simple combined immune response phenotypes using NLR, an indicator of innate immunity, and IgG, an indicator of acquired immunity. These four immune response phenotypes could be useful to dis.....
Document: Lymphopenia, neutrophilia, and high NLR are commonly presented and associated with more severe viral infection. 3, 11, 12 Recent data indicated that the NLR was identified as a powerful predictive and prognostic factor for severe COVID-19. 5 Thus, we develop simple combined immune response phenotypes using NLR, an indicator of innate immunity, and IgG, an indicator of acquired immunity. These four immune response phenotypes could be useful to distinguish the severe from the nonsevere cases and predict clinical outcome. We observed more severe cases occurred in NLR hi IgG hi or NLR hi IgG lo phenotypes, with only three dead cases.
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