Epidemiological characteristics of patients with residual SARS-Cov-2 in Linyi, China

  1. Qiang Pan
  2. Feng Gao
  3. Rensheng Peng
  4. Mingshan Li

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Abstract

Patients with 2019 novel Coronavirus infection are probably show positive testing results again. In order to better treat these patients and provide basis for further control measures, we analyze the epidemiological outcomes and clinical features of patients with residual Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-Cov-2) in Linyi city. From January 23 to March 31 in 2020, epidemiological and clinical information of confirmed patients are collected for analysis. Stool and pharyngeal swab samples are collected for RT-PCR testing. 64 confirmed patients are included and 17 patients present re-positive testing after discharge. For these 17 patients, 70.59% are family aggregated, the interval between first time of negative testing and first time of re-positive testing is 11.82±3.42 days. There is no difference between patients with continued negative testing results and re-positive testing. After discharge, the interval between first time of negative testing and first time of re-positive testing is associated with severity of disease (p=0.013). Besides, the duration from first time to last time of re-positive testing is associated with exposure or contact history (p=0.049) and severity of disease (p=0.001). The analysis reveals epidemiological characteristics of patients with residual SARS-Cov-2 and provide basis for further control measures.

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  1. ScreenIT

    SciScore for 10.1101/2020.06.16.20133199: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: This study is approved by institutional review board of Linyi People’s Hospital.
    Consent: The need for informed consent is waived.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    SPSS 22.0 was used for statistical analysis.
    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: We detected the following sentences addressing limitations in the study:
    There are some limitations in this analysis. Our analysis mainly study the epidemiological and clinical characteristics of patients in Linyi city, the study is regional and crowd limited. The duration of exposure or contact and the severity of imported patients from other cities are not detailed recorded. The testing collection is not performed day by day, which causes deviation to accurate calculation of interval and duration. In our study, we find patients with history of exposure to Hubei Province show a shorter day in positive duration after discharge. This means that exposure to Hubei is not necessarily infect more virus than contact with confirmed patients. Incomplete recording information maybe the reason for the difference in exposure or contact history. Besides, one case in the analysis is special. He is 62 years old, has a poor basic health state and low immunity. Considering that the poor immunity affect the response of immune system to virus infection, he is excluded for this analysis. Thus, only one case older than 60 years is included in the study, leading limitation to age comparison.

    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.

  2. Version published to 10.1101/2020.06.16.20133199v1 on medRxiv