Dataset Information

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

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.

SUBMITTER: Ong SWX

PROVIDER: S-EPMC7808610 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

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Publications

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

Ong Sean Wei Xiang SWX Hui Terrence Chi Hong TCH Lee Yeong Shyan YS Haja Mohideen Salahudeen Mohamed SM Young Barnaby Edward BE Tan Cher Heng CH Lye David Chien DC

PloS one 20210114 1

<h4>Objectives</h4>High-risk CXR features in COVID-19 are not clearly defined. We aimed to identify CXR features that correlate with severe COVID-19.<h4>Methods</h4>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 we ...[more]

PMID: 33444415

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Dataset Information

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

Objectives

Methods

Results

Conclusion

Publications

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

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