Bacterial Pneumonia and Respiratory Culture Utilization among Hospitalized Patients with and without COVID-19 in a New York City Hospital

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Abstract

COVID-19 is associated with prolonged hospitalization and a high risk of intubation, which raises concern for bacterial coinfection and antimicrobial resistance. Previous research has shown a wide range of bacterial pneumonia rates for COVID-19 patients in a variety of clinical and demographic settings, but none have compared hospitalized COVID-19 patients to patients testing negative for severe acute respiratory syndrome coronavirus (SARS-CoV-2) in similar care settings.

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  1. SciScore for 10.1101/2022.02.08.22270591: (What is this?)

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

    Table 1: Rigor

    Ethicsnot detected.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot 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: We detected the following sentences addressing limitations in the study:
    Some limitations of this study include its representation of data from a single institution only. There were also significant baseline demographic differences in the COVID-19 positive and negative populations. Inadequate SARS-CoV-2 testing capacity also makes results from March of 2020 difficult to interpret, as false negative rates may have been increased in this setting. Prior to March 23rd, 2020, not all patients admitted to CUIMC were tested for SARS-CoV-2 due to limited capacity, and this population of unknown COVID-19 status was not included in our data. The data available did not include sensitivities for several antibiotic classes, such as fluoroquinolones, aminoglycosides and macrolides, that would have been helpful in a more comprehensive characterization of resistance in our population of patients with bacterial pneumonia. In addition, the data analyzed here represents one period early in the pandemic, during which time rates of COVID-19 varied greatly in the population (Supplemental Figure 1). The COVID-19 patient population represented here is largely composed of those infected during the initial surge of infections in NYC from March-May of 2020 and may not represent later stages of the pandemic during which different SARS-CoV-2 variants have become dominant. In summary, the data presented here suggests that COVID-19 infection resulted in higher rates of bacterial co-infection relative to patients who tested negative during the same period, but that these infecti...

    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.

    Results from scite Reference Check: We found no unreliable references.


    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.