Swets, Maaike C;
Kerr, Steven;
Scott-Brown, James;
Brown, Adam B;
Gupta, Rishi;
Millar, Jonathan E;
Spata, Enti;
... Baillie, J Kenneth; + view all
(2023)
Evaluation of pragmatic oxygenation measurement as a proxy for Covid-19 severity.
Nature Communications
, 14
(1)
, Article 7374. 10.1038/s41467-023-42205-6.
Preview |
PDF
s41467-023-42205-6.pdf - Published Version Download (1MB) | Preview |
Abstract
Choosing optimal outcome measures maximizes statistical power, accelerates discovery and improves reliability in early-phase trials. We devised and evaluated a modification to a pragmatic measure of oxygenation function, the [Formula: see text] ratio. Because of the ceiling effect in oxyhaemoglobin saturation, [Formula: see text] ratio ceases to reflect pulmonary oxygenation function at high [Formula: see text] values. We found that the correlation of [Formula: see text] with the reference standard ([Formula: see text]/[Formula: see text] ratio) improves substantially when excluding [Formula: see text] and refer to this measure as [Formula: see text]. Using observational data from 39,765 hospitalised COVID-19 patients, we demonstrate that [Formula: see text] is predictive of mortality, and compare the sample sizes required for trials using four different outcome measures. We show that a significant difference in outcome could be detected with the smallest sample size using [Formula: see text]. We demonstrate that [Formula: see text] is an effective intermediate outcome measure in COVID-19. It is a non-invasive measurement, representative of disease severity and provides greater statistical power.
| Type: | Article |
|---|---|
| Title: | Evaluation of pragmatic oxygenation measurement as a proxy for Covid-19 severity |
| Location: | England |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1038/s41467-023-42205-6 |
| Publisher version: | https://doi.org/10.1038/s41467-023-42205-6 |
| Language: | English |
| Additional information: | © 2023 Springer Nature Limited. This article is licensed under a Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/). |
| Keywords: | Humans, Reproducibility of Results, COVID-19, Lung, Sample Size |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics > Clinical Epidemiology |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10181817 |
Archive Staff Only
 |
View Item |
