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Evaluation of pragmatic oxygenation measurement as a proxy for Covid-19 severity

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.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1038/s41467-023-42205-6

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Role:
Author
ORCID:
0000-0003-0901-9560
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Role:
Author
ORCID:
0000-0001-5642-8346
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Role:
Author
ORCID:
0009-0002-1270-928X
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Role:
Author
ORCID:
0000-0002-6257-1285

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Contributor



Publisher:
Springer Nature
Journal:
Nature Communications More from this journal
Volume:
14
Issue:
1
Article number:
7374
Publication date:
2023-11-15
Acceptance date:
2023-10-04
DOI:
EISSN:
2041-1723
Pmid:
37968269


Language:
English
Keywords:
Pubs id:
1569470
Local pid:
pubs:1569470
Deposit date:
2023-12-06

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