Clinical features and laboratory inspection of novel coronavirus pneumonia (COVID-19) in Xiangyang, Hubei

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Abstract

Background

Since December 2019, a novel coronavirus pneumonia (COVID-19) rapidly spread in China, reached multiple continents currently.We aimed to reveal the infectious characteristics of COVID-19 that provide more information for the research of novel coronavirus.

Methods

We performed a retrospective study on the clinical characteristics of 128 COVID-19 cases with laboratory-confirmed from Xiangyang No 1 Hospitalad during January 2020 to 16 February 2020.

Results

Female patients account for 53.1%. The aged below 20 years that accounts for 1.6% of overall patients. The aged in 21∼50, 51∼65, over 66 years were accounts for 44.5%, 35.1%,18.8%, respectively. In the difference age spectrum, all severe groups compared with non-severe groups were difference significantly (P < 0.01). Fever (89.8%) and Cough (67.2%) were common clinical symptoms. The rate of patients with sore throats (14.1%) was rare. The rate of chest computed tomography scan showing ground glass opacity in overall, non-severe, severe groups were 63.3%, 60.7%, 76.2%, respectively. White blood cell counts in the normal range of overall patients, but severe group patients were increased significantly ( P < 0.01). Lymphocytes of overall patients were decreased. Alanine transaminase (ALT) and aspartate transaminase (AST) in the normal range of overall patients, but its were elevated in the severe group. Creatinine (CR) and blood urea nitrogen (BUN) of overall patients in the normal range. C-reactive protein (CRP) level of all patients were increased markedly, but it in the severe group was significantly higher than that in the non-severe group ( P < 0.01).

Conclusions

Our data provide more information that advanced age, lower lymphocytes levels at the diagnosed COVID-19 patients may be a risk factor for unfavourable prognosis. The white blood cells and C-reactive protein level elevated in severe COVID-19 patients may be accompanying bacterial infection. 2019-nCov may be carries a risk factor of impaired liver and kidney function.

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  1. SciScore for 10.1101/2020.02.23.20026963: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    Institutional Review Board StatementIRB: The study was approved by the ethics committee of the Xiangyang No. 1Hospital with written informed consent from the patients.
    Consent: The study was approved by the ethics committee of the Xiangyang No. 1Hospital with written informed consent from the patients.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    All statistical analyses were performed using SPSS version 20.0 (IBM, Armonk, NY, USA).
    SPSS
    suggested: (SPSS, RRID:SCR_002865)

    Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


    Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

    Results from TrialIdentifier: No clinical trial numbers were referenced.


    Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


    Results from JetFighter: We did not find any issues relating to colormaps.


    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
    • No protocol registration statement was detected.

    About SciScore

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.