The Association between Kidney Function and the Severity of COVID-19 in Children

  1. Dedi Rachmadi
  2. Ahmedz Widiasta
  3. Hadyana Sukandar
  4. Nanan Sekarwana
  5. Dany Hilmanto

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Abstract

BACKGROUND: Kidney manifestations are life-threatening conditions, such as end-stage kidney disease, notably when caused by viral infections. The severe acute respiratory syndrome Coronavirus-2 (SARS-CoV-2), is an emerging global health problem, potentially affecting all organs, including the kidney. Most reports on kidney manifestations were focused on the adult and elderly population but limited on children. AIM: This study aims to analyze the association between kidney function and the severity of the disease of pediatric patients suffering from COVID-19. METHODS: From March 2020 to March 2021, an observational analytic study was conducted in Hasan Sadikin General Hospital, Bandung, Indonesia. The demographic data, clinical signs, laboratory results, and notable kidney function were analyzed, and based on its clinical appearance the disease was classified as severe and non-severe. Subsequently, the Mann–Whitney test for nonparametric was used to analyze the collected data. RESULTS: In this study, 40 COVID-19 children were selected as the subjects, and the median estimated glomerular filtration rate (eGFR) value in the severe group was discovered to be lower (88.2 mL/min/1.73 m2) compared to the non-severe (124.4 mL/min/1.73 m2), it was statistically significant (p = 0.041). There was no difference in hemoglobin and leukocyte values between the two groups (p > 0.05). Furthermore, the CRP and NLR results showed no difference between the groups (p > 0.05). CONCLUSION: A severe SARS-CoV-2 infection correlates with kidney function, which was manifested by a lower median eGFR value in the severe compared to the non-severe group.

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  1. Version published to 10.3889/oamjms.2022.9784
  2. ScreenIT

    SciScore for 10.1101/2020.10.20.20216440: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: The research data was obtained from medical records after receiving clearance from the Health Research Ethical Committee, Hasan Sadikin Hospital, Bandung.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    No key resources detected.

    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.

  3. Version published to 10.1101/2020.10.20.20216440v1 on medRxiv