Cytokine profile in plasma of severe COVID-19 does not differ from ARDS and sepsis

This article has been Reviewed by the following groups

Read the full article See related articles

Abstract

No abstract available

Article activity feed

  1. SciScore for 10.1101/2020.05.15.20103549: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementConsent: All patients or their surrogates gave written informed consent to participate in the Stanford ICU Biobank.
    RandomizationPatients who were enrolled in randomized clinical trials that required blood draws were excluded.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    To assess cytokine response to infection in patients with a normal immune system (similar to the COVID population), the ARDS and sepsis patients were therefore enriched for normal baseline immune system (e.g. no metastatic cancer, bone marrow transplant, or high dose steroids) in comparison to the Biobank as a whole.
    Biobank
    suggested: (HIV Biobank, RRID:SCR_004691)
    Statistics: All statistical analyses were performed using the open source statistical software R (https://www.r-project.org).
    https://www.r-project.org
    suggested: (R Project for Statistical Computing, RRID:SCR_001905)

    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:
    The most important limitation of this study is our small sample size. Even in our predetermined analysis of six cytokines strongly associated with cytokine storm, we lack power to detect minor differences between groups. The exploratory analyses of an additional 70 cytokines is similarly limited, but is provided as a reference for the field. In addition, we do not have measurements of cytokines over time, but only near the point of enrollment. Finally, as discussed above, we report cytokine levels by MFI per recommended Luminex analysis methods,10 precluding direct comparison of our values to previously published data that report cytokine levels in pg/mL. Despite the above limitations, it is clear that in this cohort, inflammatory cytokines are not dramatically higher in severe COVID-19 patients than in other critically ill patients. Broad testing of immunosuppressive therapies in unselected COVID-19 patients may therefore face the same fate as trials of immunosuppression in unselected ARDS and sepsis patients: inconclusive results despite decades of effort, and the uncomfortable understanding that while some patients may have been helped, others may have been harmed. Indeed, given the duration of mechanical ventilation and attendant high rates of nosocomial infection in severe COVID-19 patients, these therapies have potential for harm. Further research is needed to characterize the spectrum of the immune response in COVID-19, and to identify which patients are most likely to...

    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.