Epidemiology, clinical course, and outcomes of critically ill adults with COVID-19 in New York City: a prospective cohort study

  1. Matthew J Cummings
  2. Matthew R Baldwin
  3. Darryl Abrams
  4. Samuel D Jacobson
  5. Benjamin J Meyer
  6. Elizabeth M Balough
  7. Justin G Aaron
  8. Jan Claassen
  9. LeRoy E Rabbani
  10. Jonathan Hastie
  11. Beth R Hochman
  12. John Salazar-Schicchi
  13. Natalie H Yip
  14. Daniel Brodie
  15. Max R O'Donnell

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Abstract

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  1. ScreenIT

    SciScore for 10.1101/2020.04.15.20067157: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: Ethics Statement: This study was approved by the institutional review board at Columbia University Irving Medical Center.
    Consent: The requirement for written informed consent was waived because of the study design and ongoing public health emergency.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    All analyses were performed using Stata (version 16, StataCorp, College Station, TX, USA).
    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: We detected the following sentences addressing limitations in the study:
    This study also has several limitations. First, our study was conducted in two academic hospitals in northern Manhattan, potentially limiting generalizability to hospital settings elsewhere in New York City, especially in terms of the demographic characteristics of the patient population. However, our sites included both a large tertiary referral hospital and a smaller, community-based hospital, thereby increasing generalizability to other clinical settings. Second, our analyses incorporated data collected through April 14th, 2020. As definitive in-hospital vital status is not yet known for patients who remained hospitalized after this date, the 33% of inpatient deaths reported here represent the minimum in-hospital case-fatality-rate for our cohort. Third, patients presented to the hospital at varying times in their illness course, which may have impacted their clinical course and outcomes. To mitigate the potential impact of this variance on our analyses, we included time from symptom onset to presentation as a co-variable in our regression models. Fourth, of available biomarkers, we included IL-6 and d-dimer in our multivariable models given pathophysiologic and treatment implications. We did not analyze serial concentrations of these and other biomarkers, which may fluctuate considerably over the course of illness. In conclusion, critical illness among patients hospitalized with COVID-19 in New York City is common and associated with a high frequency of invasive mechanica...

    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.

  2. Version published to 10.1016/s0140-6736(20)31189-2
  3. Version published to 10.1101/2020.04.15.20067157v1 on medRxiv