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Prediction of the need for intensive oxygen supplementation during hospitalisation among subjects with COVID-19 admitted to an academic health system in Texas: a retrospective cohort study and multivariable regression model

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dc.contributor.author Davis, J.W.
dc.contributor.author Wang, B.
dc.contributor.author Tomczak, E.
dc.contributor.author Chi-Fu, C.
dc.contributor.author Harmouch, W.
dc.contributor.author Reynoso, D.
dc.contributor.author Keiser, P.
dc.contributor.author Cabada, M.M.
dc.date.accessioned 2022-06-25T20:36:41Z
dc.date.available 2022-06-25T20:36:41Z
dc.date.issued 2022
dc.identifier.uri https://hdl.handle.net/20.500.12866/11852
dc.description.abstract Objective SARS-CoV-2 has caused a pandemic claiming more than 4 million lives worldwide. Overwhelming COVID-19 respiratory failure placed tremendous demands on healthcare systems increasing the death toll. Cost-effective prognostic tools to characterise the likelihood of patients with COVID-19 to progress to severe hypoxemic respiratory failure are still needed. Design We conducted a retrospective cohort study to develop a model using demographic and clinical data collected in the first 12 hours of admission to explore associations with severe hypoxemic respiratory failure in unvaccinated and hospitalised patients with COVID-19. Setting University-based healthcare system including six hospitals located in the Galveston, Brazoria and Harris counties of Texas. Participants Adult patients diagnosed with COVID-19 and admitted to one of six hospitals between 19 March and 30 June 2020. Primary outcome The primary outcome was defined as reaching a WHO ordinal scale between 6 and 9 at any time during admission, which corresponded to severe hypoxemic respiratory failure requiring high-flow oxygen supplementation or mechanical ventilation. Results We included 329 participants in the model cohort and 62 (18.8%) met the primary outcome. Our multivariable regression model found that lactate dehydrogenase (OR 2.36), Quick Sequential Organ Failure Assessment score (OR 2.26) and neutrophil to lymphocyte ratio (OR 1.15) were significant predictors of severe disease. The final model showed an area under the curve of 0.84. The sensitivity analysis and point of influence analysis did not reveal inconsistencies. Conclusions Our study suggests that a combination of accessible demographic and clinical information collected on admission may predict the progression to severe COVID-19 among adult patients with mild and moderate disease. This model requires external validation prior to its use. en_US
dc.language.iso eng
dc.publisher BMJ Publishing Group
dc.relation.ispartofseries BMJ Open
dc.rights info:eu-repo/semantics/restrictedAccess
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject oxygen supplementation en_US
dc.subject hospitalisation en_US
dc.subject COVID-19 en_US
dc.subject Texas en_US
dc.subject retrospective cohort study en_US
dc.subject multivariable regression model en_US
dc.title Prediction of the need for intensive oxygen supplementation during hospitalisation among subjects with COVID-19 admitted to an academic health system in Texas: a retrospective cohort study and multivariable regression model en_US
dc.type info:eu-repo/semantics/article
dc.identifier.doi https://doi.org/10.1136/bmjopen-2021-058238
dc.subject.ocde https://purl.org/pe-repo/ocde/ford#3.02.07
dc.relation.issn 2044-6055


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