Severity of respiratory failure and computed chest tomography in acute COVID-19 correlates with pulmonary function and respiratory symptoms after infection with SARS-CoV-2: An observational longitudinal study over 12 months

  1. Fridolin Steinbeis
  2. Charlotte Thibeault
  3. Felix Doellinger
  4. Raphaela Maria Ring
  5. Mirja Mittermaier
  6. Christoph Ruwwe-Glösenkamp
  7. Florian Alius
  8. Philipp Knape
  9. Hans-Jakob Meyer
  10. Lena Johanna Lippert
  11. Elisa Theresa Helbig
  12. Daniel Grund
  13. Bettina Temmesfeld-Wollbrück
  14. Norbert Suttorp
  15. Leif Erik Sander
  16. Florian Kurth
  17. Tobias Penzkofer
  18. Martin Witzenrath
  19. Thomas Zoller

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Abstract

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  1. Version published to 10.1016/j.rmed.2021.106709
  2. ScreenIT

    SciScore for 10.1101/2021.08.11.21261883: (What is this?)

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

    Table 1: Rigor

    EthicsConsent: All participants or their legal representatives gave written informed consent before study inclusion.
    IRB: The study was approved by Charité ethics committee (EA2/066/20).
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    BlindingAll images were reviewed blinded to the patient’s clinical characteristics and disease severity.
    Power Analysisnot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    IBM SPSS (IBM SPSS Statistics 27.0),
    SPSS
    suggested: (SPSS, RRID:SCR_002865)
    , JMP (version 14.2.0) and GraphPad PRISM (Version 9.0.0) were used for statistical analysis and graphical processing.
    GraphPad PRISM
    suggested: (GraphPad Prism, RRID:SCR_002798)

    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:
    Limitations of this study were the availability of data from a single centre at this point of time, and the reduced number of patients available in the first and the last 12 month follow-up visit, particularly in the group of patients after invasive mechanical ventilation and ECMO treatment. By summarizing the results from pulmonary function tests with assessment of respiratory symptoms and the evolution of findings over time, we hypothesize that two main patterns of pulmonary involvement are discernible after COVID-19: in patients with severe disease and particularly those with respiratory failure requiring ECMO treatment, a pattern of interstitial lung involvement characterized by simple restriction and reduction of diffusion capacity predominates. This pattern has potential for functional and subjective improvement over time during the first year of follow-up. In patients with mild to moderate initial disease however, a disease pattern characterized by a loss of ventilated area and symptom persistence over one year after follow-up predominates. Particularly for the latter pattern, potential underlying mechanisms are unknown, and these patterns of pulmonary injury will need to be confirmed and further characterized in larger and multi-centric studies. In conclusion, this study demonstrated the relevance of initial disease severity and results of thoracic CT for pulmonary functional impairment and respiratory symptoms in the first year after SARS-CoV-2 infection in hospitali...

    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.

  3. Version published to 10.1101/2021.08.11.21261883v1 on medRxiv