IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0247488.html
   My bibliography  Save this article

Validation of two severity scores as predictors for outcome in Coronavirus Disease 2019 (COVID-19)

Author

Listed:
  • Christian Salbach
  • Matthias Mueller-Hennessen
  • Moritz Biener
  • Kiril M Stoyanov
  • Mehrshad Vafaie
  • Michael R Preusch
  • Lars P Kihm
  • Uta Merle
  • Paul Schnitzler
  • Hugo A Katus
  • Evangelos Giannitsis

Abstract

Background: An established objective and standardized reporting of clinical severity and disease progression in COVID-19 is still not established. We validated and compared the usefulness of two classification systems reported earlier–a severity grading proposed by Siddiqi and a system from the National Australian COVID-19 guideline. Both had not been validated externally and were now tested for their ability to predict complications. Methods: In this retrospective, single-centre observational study, patients hospitalized with confirmed COVID-19 across all severity stages were enrolled. The clinical severity was graded at admission and during hospitalization. Multivariate Cox regression was used to identify independent risk factors for mortality, a composite primary (mortality, incident acute respiratory distress syndrome, incident mechanical ventilation), a secondary endpoint (mortality, incident acute myocardial injury, incident venous thrombosis, pulmonary embolism or stroke) and progression of severity grades. Results: Of 109 patients 17 died, 31 and 48 developed the primary and secondary endpoint, respectively. Worsening of the severity grade by at least one stage occurred in 27 and 28 patients, respectively. Siddiqi and Australian classification were identified as independent predictors for the primary endpoint (adjusted hazard ratio (aHR) 2.30, p

Suggested Citation

  • Christian Salbach & Matthias Mueller-Hennessen & Moritz Biener & Kiril M Stoyanov & Mehrshad Vafaie & Michael R Preusch & Lars P Kihm & Uta Merle & Paul Schnitzler & Hugo A Katus & Evangelos Giannitsi, 2021. "Validation of two severity scores as predictors for outcome in Coronavirus Disease 2019 (COVID-19)," PLOS ONE, Public Library of Science, vol. 16(2), pages 1-16, February.
  • Handle: RePEc:plo:pone00:0247488
    DOI: 10.1371/journal.pone.0247488
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0247488
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0247488&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0247488?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0247488. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.