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High-risk chest radiographic features associated with COVID-19 disease severity

Authors :
Cher Heng Tan
Salahudeen Mohamed Haja Mohideen
David C. Lye
Sean Wei Xiang Ong
Terrence Chi Hong Hui
Barnaby Edward Young
Yeong Shyan Lee
Lee Kong Chian School of Medicine (LKCMedicine)
National Centre for Infectious Diseases
Tan Tock Seng Hospital
Source :
PLoS ONE, Vol 16, Iss 1, p e0245518 (2021), PLoS ONE
Publication Year :
2021
Publisher :
Public Library of Science (PLoS), 2021.

Abstract

Objectives High-risk CXR features in COVID-19 are not clearly defined. We aimed to identify CXR features that correlate with severe COVID-19. Methods All confirmed COVID-19 patients admitted within the study period were screened. Those with suboptimal baseline CXR were excluded. CXRs were reviewed by three independent radiologists and opacities recorded according to zones and laterality. The primary endpoint was defined as hypoxia requiring supplemental oxygen, and CXR features were assessed for association with this endpoint to identify high-risk features. These features were then used to define criteria for a high-risk CXR, and clinical features and outcomes of patients with and without baseline high-risk CXR were compared using logistic regression analysis. Results 109 patients were included. In the initial analysis of 40 patients (36.7%) with abnormal baseline CXR, presence of bilateral opacities, multifocal opacities, or any upper or middle zone opacity were associated with supplemental oxygen requirement. Of the entire cohort, 29 patients (26.6%) had a baseline CXR with at least one of these features. Having a high-risk baseline CXR was significantly associated with requiring supplemental oxygen in univariate (odds ratio 14.0, 95% confidence interval 3.90–55.60) and multivariate (adjusted odds ratio 8.38, 95% CI 2.43–28.97, P = 0.001) analyses. Conclusion We identified several high-risk CXR features that are significantly associated with severe illness. The association of upper or middle zone opacities with severe illness has not been previously emphasized. Recognition of these specific high-risk CXR features is important to prioritize limited healthcare resources for sicker patients.

Details

ISSN :
19326203
Volume :
16
Database :
OpenAIRE
Journal :
PLOS ONE
Accession number :
edsair.doi.dedup.....b33fd54f7d2d4e54e5cd2641b707c4f3