Clinical profile and in-hospital outcomes of COVID-19 among adolescents at a tertiary care hospital in India

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Abstract

We aimed to describe the clinical profile and risk factors for severe disease in adolescents hospitalised with coronavirus disease 2019 (COVID-19)

Methods:

A retrospective analysis of an admitted cohort of COVID-19 patients was performed at a tertiary hospital in North India. Adolescents aged 12–18 years who were hospitalised during the first wave (March–December, 2020) and the second wave (March–June, 2021) were included. Data on the demographic details, clinical presentation, laboratory parameters, disease severity at admission, treatments received, and in-hospital outcomes were retrieved

Results:

The study included 197 adolescents with a median [inter-quartile range (IQR)] age of 15 (13–17) years, of whom 117 (59.4%) were male. Among these, 170 (86.3%) were admitted during the first wave. Underlying co-morbidities were present in nine (4.6%) patients. A total of 60 (30.9%) patients were asymptomatic. In the severity grading, 148 (84.6%) had mild, 16 (9.1%) had moderate, and 11 (6.3%) had severe disease. Fever (14.9%) and cough (14.9%) were the most commonly encountered symptoms. The median (IQR) duration of hospital stay was 10 (8–13) days, and six (3.1%) patients died in the hospital

Conclusion:

Adolescents admitted with COVID-19 had predominantly asymptomatic or mild disease, and the mortality rate was 3.1%.

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  1. SciScore for 10.1101/2022.01.06.22268674: (What is this?)

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

    Table 1: Rigor

    EthicsIRB: The study protocol was approved by the institute ethics committee (IEC).
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Statistical analysis: Data was analysed using Stata v14 (StataCorp LP, College Station, TX).
    StataCorp
    suggested: (Stata, RRID:SCR_012763)

    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.