Clinical Profile and Immediate Outcome of Multisystem Inflammatory Syndrome in Children Associated with COVID-19

  1. Geetanjali Sethy
  2. Bibhudatta Mishra
  3. Mukesh Kumar Jain
  4. Sibabratta Patnaik
  5. Reshmi Mishra
  6. Jyoti Ranjan Behera
  7. Bandya Sahoo
  8. Narendra Behera

Reviewed by

Read the full article

Listed in

Log in to save this article

Abstract

Following an asymptomatic or mildly symptomatic coronavirus disease (COVID-19), otherwise healthy children may develop serious manifestations in the form of cardiac, neurological, respiratory, gastrointestinal, and dermatologic dysfunction. Many such cases were being observed in Odisha, an eastern state of India, and have been reported from different health-care facilities. We related these unexplained serious manifestations to multisystem inflammatory syndrome associated with COVID-19 (MIS-C) and planned this study.

Methods:

This retrospective observational study was carried out at the following three tertiary care centers: Kalinga Institute of Medical Sciences, Bhubaneswar; MKCG Medical College, Berhampur; and Jagannath Hospital, Bhubaneswar. The study population included all children aged from 1 month to 18 years admitted to the hospitals with MIS-C according to the WHO diagnostic criteria. All the data were analyzed by SPSS software.

Results:

A total of 21 children were included in our study. Majority of the cases were male (76.2%), and the predominant age group was 6–10 years (47.6%). Common symptoms and signs in our observation included fever, pain abdomen, seizure, and hypotension. Most of these cases were positive for severe acute respiratory syndrome coronavirus antibody (80.95%). Response to immunotherapy was dramatic. Mortality (9%) of our study was higher than 1.8%–3% from that of Western literature. None of our patients had coronary abnormality, while two patients had mild cardiac dysfunction at discharge comparable to that of other studies.

Conclusion:

MIS-C following exposure to COVID-19 infection in children is a clinical syndrome, which needs early suspicion and appropriate intervention to prevent mortality.

Article activity feed

  1. Version published to 10.4103/jgid.jgid_85_21
  2. ScreenIT

    SciScore for 10.1101/2021.06.21.21259259: (What is this?)

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

    Table 1: Rigor

    EthicsIRB: This study was conducted after taking permission from Institutional Ethics Committee.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    The data collected were entered in Microsoft Excel spreadsheet and imported to SPSS software.
    Microsoft Excel
    suggested: (Microsoft Excel, RRID:SCR_016137)
    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.

    Results from scite Reference Check: We found no unreliable references.

    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.

  3. Version published to 10.1101/2021.06.21.21259259v1 on medRxiv