Incidence, risk factors and outcome of acute kidney injury (AKI) in patients with COVID-19

  1. Gaetano Alfano
  2. Annachiara Ferrari
  3. Francesco Fontana
  4. Giacomo Mori
  5. Riccardo Magistroni
  6. Marianna Meschiari
  7. Erica Franceschini
  8. Marianna Menozzi
  9. Gianluca Cuomo
  10. Gabriella Orlando
  11. Antonella Santoro
  12. Margherita Digaetano
  13. Cinzia Puzzolante
  14. Federica Carli
  15. Andrea Bedini
  16. Jovana Milic
  17. Irene Coloretti
  18. Paolo Raggi
  19. Cristina Mussini
  20. Massimo Girardis
  21. Gianni Cappelli
  22. Giovanni Guaraldi
  23. for the Modena Covid-19 Working Group (MoCo19)

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Abstract

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  1. Version published to 10.1007/s10157-021-02092-x
  2. ScreenIT

    SciScore for 10.1101/2020.06.24.20138230: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIACUC: The study was approved by the regional ethical committee of Emilia Romagna (prot. n. 0013376/20) Population: This study recruited all consecutive adult patients (≥18 years) admitted with SARS-CoV-2 infection.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    SPSS 23®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:
    Several limitations of this study should be mentioned, some of which intrinsic to the retrospective nature of the study. A certain number of AKI events may be underdiagnosed because of the unavailability of the sCr at the time of symptoms onset. Hence, it is likely that the patients enrolled in the non-AKI group had a worse prognosis due to renal impairment. Although we have adjusted for potential demographic and clinical confounding, other unrecognized could not be ruled out. We used the non-renal SOFA in order to avoid collinearity between predictor and outcomes. We are confident that the adjustment of our model for this strong clinical variable reinforces the relationship between AKI and in-hospital mortality. Lastly, the lack of data on consequences of renal injury, do not allow to weight the real long-term consequences of AKI in term of morbidity and mortality in a cohort of patients at high risk for CKD.

    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 10.1101/2020.06.24.20138230v1 on medRxiv