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Clin Chim Acta. Laboratory data analysis of novel coronavirus (COVID-19) screening in 2510 patients

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  • Clin Chim Acta. Laboratory data analysis of novel coronavirus (COVID-19) screening in 2510 patients


    Clin Chim Acta. 2020 Apr 18. pii: S0009-8981(20)30173-X. doi: 10.1016/j.cca.2020.04.018. [Epub ahead of print]
    Laboratory data analysis of novel coronavirus (COVID-19) screening in 2510 patients.


    Yun H1, Sun Z2, Wu J2, Tang A2, Hu M2, Xiang Z3.

    Author information




    Abstract

    BACKGROUND:

    Novel coronavirus (COVID-19) is highly infectious and requires early detection, isolation, and treatment. We tried to find some useful information by analyzing the covid-19 screening data, so as to provide help for clinical practice.
    METHOD:

    We collected nucleic acid and hematology data from 2510 patients for COVID-19 infection for retrospective analysis.
    RESULT:

    COVID-19 and influenza A and B infection rates were 1.3%, 3%, and 3%, respectively. COVID-19 nucleic acid was detected in stool but not in tear samples from 8 positive patients. Among the 32 patients with COVID-19, 15 (47%) and 16 (50%) patients showed decreased lymphocyte count and lymphocyte ratio, 21(66%) and 24 (75%) patients showed decreased eosinophil count and eosinophil ratio, and 18 (56%) patients showed increased C-reactive protein. Ten hematological indicators significantly differed in the blood of patients with COVID-19 and those with influenza A and B (P < 0.05). Eighteen hematological indicators significantly differed between patients with COVID-19 and negative patients (P < 0.05).
    CONCLUSION:

    The positive rate of influenza A and B infection was higher than that of COVID-19. When pharyngeal swab collection may cause infection, fecal samples can be examined. Evaluation of pharyngeal swab and fecal samples can improve the positive rate of nucleic acid detection.The COVID-19 can cause some hematological indices changes.
    Copyright ? 2020. Published by Elsevier B.V.



    KEYWORDS:

    hematology index; influenza A; influenza B; laboratory data; novel coronavirus


    PMID:32315614DOI:10.1016/j.cca.2020.04.018

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