Autosomal Dominant Polycystic Kidney Disease Does Not Significantly Alter Major COVID-19 Outcomes among Veterans

  1. Xiangqin Cui
  2. Julia W. Gallini
  3. Christine L. Jasien
  4. Michal Mrug

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Abstract

  • Autosomal dominant polycystic kidney disease (ADPKD) was not a significant, independent risk factor for the four major outcomes studied among veterans with confirmed coronavirus disease 2019 (COVID-19).

  • ADPKD did not significantly increase the risk for newly starting dialysis (after controlling for CKD) among veterans positive for COVID-19.

  • The established risk factors for severe COVID-19 illness had significant effects in this cohort ( e.g. , type 2 diabetes and Black race).

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  1. Version published to 10.34067/kid.0007282020
  2. ScreenIT

    SciScore for 10.1101/2020.11.25.20238675: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: This study was approved by the Emory University Institutional Review Board (IRB00115069) and Atlanta VA medical center R&D committee (2019-111232).
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    R packages finalfit, ggplot2 and jtools were used for results summary and visualization.
    ggplot2
    suggested: (ggplot2, RRID:SCR_014601)

    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:
    Another limitation of the current study is that COVID-19 tested patients were not necessarily representative samples of the CKD and cystic liver population. Instead, the patients that were hospitalized or admitted to the ICU were preferably tested. This is a likely explanation for why the hospitalization rate and ICU rate in the studied VA cohort were relatively high. Thus, the rate of ventilator requirement and death rate likely better reflect the severity of COVID-19 infection in this cohort. In addition, we did not have a healthy control group in our cohort study. We only compared the patients among the three groups: ADPKD-enriched, Other cystic kidney disease, and Cystic liver-only disease. Our results for ADPKD are relative to the other two groups. An additional limitation was the relatively large amount of missing data for outcomes because many patients had not yet reached 60 days since testing. The missing data were left out of some rate calculations, which likely resulted in an overestimation of the rates. Patients who have gone weeks (though short of 60 days) without being hospitalized, admitted to the ICU, etc., are unlikely to reach these outcomes by the 60-day mark, so while these data were considered missing, they were not missing at random. Another limitation was the use of ICD codes to assign diagnoses in the studied VA cystic kidney and liver cohort. Although ICD codes are commonly used for disease phenotyping based on electronic medical records, their accurac...

    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 10.1101/2020.11.25.20238675v1 on medRxiv