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HGNC Genes

SARS-CoV-2 proteins

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    COVID-19 MESHD early warning score: a multi-parameter screening tool to identify highly suspected patients

    Authors: Cong-Ying Song; Jia Xu; Jian-Qin He; Yuan-Qiang Lu

    doi:10.1101/2020.03.05.20031906 Date: 2020-03-08 Source: medRxiv

    BACKGROUND Corona Virus Disease MESHD 2019 ( COVID-19 MESHD) is spreading worldwide. Effective screening for patients is important to limit the epidemic. However, some defects make the currently applied diagnosis methods are still not very ideal for early warning of patients. We aimed to develop a diagnostic model that allows for the quick screening of highly suspected patients using easy-to-get variables. METHODS A total of 1,311 patients receiving severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) nucleicacid detection were included, whom with a positive result were classified into COVID-19 MESHD group. Multivariate logistic regression analyses were performed to construct the diagnostic model. Receiver operating characteristic (ROC) curve analysis were used for model validation. RESULTS After analysis, signs of pneumonia MESHD on CT, history of close contact, fever MESHD, neutrophil-to-lymphocyte ratio (NLR), Tmax and sex were included in the diagnostic model. Age and meaningful respiratory symptoms were enrolled into COVID-19 MESHD early warning score ( COVID-19 MESHD EWS). The areas under the ROC curve (AUROC) indicated that both of the diagnostic model (training dataset 0.956 [95%CI 0.935-0.977, P < 0.001]; validation dataset 0.960 [95%CI 0.919-1.0, P < 0.001] ) and COVID-19 MESHD EWS (training dataset 0.956 [95%CI 0.934-0.978, P < 0.001] ; validate dataset 0.966 [95%CI 0.929-1, P < 0.001]) had good discrimination capacity. In addition, we also obtained the cut-off values of disease severity predictors, such as CT score, CD8+ T cell count, CD4+ T cell count, and so on. CONCLUSIONS The new developed COVID-19 MESHD EWS HGNC was a considerable tool for early and relatively accurately warning of SARS-CoV-2 infected MESHD patients.

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MeSH Disease
HGNC Genes
SARS-CoV-2 Proteins


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