Risk of COVID-19 breakthrough infection and hospitalization in individuals with comorbidities

  1. Peter D. Smits
  2. Samuel Gratzl
  3. Michael Simonov
  4. Senthil K. Nachimuthu
  5. Brianna M. Goodwin Cartwright
  6. Michael D. Wang
  7. Charlotte Baker
  8. Patricia Rodriguez
  9. Mackenzie Bogiages
  10. Benjamin M. Althouse
  11. Nicholas L. Stucky

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Abstract

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  1. Version published to 10.1016/j.vaccine.2023.02.038
  2. Version published to 10.1101/2022.04.26.22271727v2 on medRxiv
  3. ScreenIT

    SciScore for 10.1101/2022.04.26.22271727: (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

    Software and Algorithms
    SentencesResources
    Analysis was done using the R programming language (4.1.1)(17) along with the following packages: arrow(18), broom(19), dplyr(20), ggplot2(21), janitor(22), magrittr(23), purrr(24), questionr(25), rlang(26), stringr(27), tableone(28), targets(29), tibble(30), and tidyr(31).
    ggplot2
    suggested: None

    Results from OddPub: Thank you for sharing your code and data.

    Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
    Like all studies, ours is subject to limitations. First, there are multiple confounding features which are difficult to address with the available data including the timing of patient vaccination, precedent undiagnosed COVID-19 infection, and the timing of infections in relation to SARS-CoV-2 variants of concern. Future studies should correct for these potential confounders. Secondly, our current data definitions rely heavily on ICD-10-CM codes, except for CKD which incorporates lab tests. This limits the scope and may limit the accuracy of our comorbidity groups and COVID-19 diagnoses. For example, adding labs would improve sensitivity for COVID-19 cases. As more data become available, we plan to include SARS-CoV-2 variants of concern, geography, and more comorbidities. Our current outcome models consider only the effect of a single comorbidity on our outcomes of interest. Future iterations of this analysis should consider the effect of multiple simultaneous comorbidities on outcomes as well as their interaction effects. Currently, we treat each comorbidity as purely independent, but it is known that patients can have multiple comorbidities (e.g., diabetes and CKD). Future research could consider the interaction effects of patients having multiple comorbidities on probabilities of outcome events; specifically, models of breakthrough infection and hospitalization outcomes should consider how the interactions among these comorbidities may contribute to differences in odds of b...

    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.

  4. Version published to 10.1101/2022.04.26.22271727v1 on medRxiv