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A robust COVID-19 mortality prediction calculator based on Lymphocyte count, Urea, C-Reactive Protein, Age and Sex (LUCAS) with chest X-rays

Abstract:

There have been numerous risk tools developed to enable triaging of SARS-CoV-2 positive patients with diverse levels of complexity. Here we presented a simplified risk-tool based on minimal parameters and chest X-ray (CXR) image data that predicts the survival of adult SARS-CoV-2 positive patients at hospital admission. We analysed the NCCID database of patient blood variables and CXR images from 19 hospitals across the UK using multivariable logistic regression. The initial dataset was non-r...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1038/s41598-022-21803-2

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
ORCID:
0000-0001-8198-5128
Publisher:
Springer Nature
Journal:
Scientific Reports More from this journal
Volume:
12
Article number:
18220
Publication date:
2022-10-29
Acceptance date:
2022-10-04
DOI:
EISSN:
2045-2322
Pmid:
36309547
Language:
English
Keywords:
Pubs id:
1299915
Local pid:
pubs:1299915
Deposit date:
2022-11-07

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