High-risk chest radiographic features associated with COVID-19 disease severity
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...
Saved in:
Main Authors: | , , , , , , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/152024 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-152024 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-1520242023-03-05T16:43:49Z High-risk chest radiographic features associated with COVID-19 disease severity Ong, Sean Wei Xiang Hui, Terrence Chi Hong Lee, Yeong Shyan Haja Mohideen, Salahudeen Mohamed Young, Barnaby Edward Tan, Cher Heng Lye, David Chien Boon Lee Kong Chian School of Medicine (LKCMedicine) National Centre for Infectious Diseases Tan Tock Seng Hospital Science::Medicine COVID-19 Radiography 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. National Medical Research Council (NMRC) Published version This study was funded by the NMRC COVID-19 Research Fund (COVID19RF-001). The funding sources had no role in study design, data analysis and collection, interpretation of results, or decision to submit the paper for publication. 2021-11-17T06:50:48Z 2021-11-17T06:50:48Z 2021 Journal Article Ong, S. W. X., Hui, T. C. H., Lee, Y. S., Haja Mohideen, S. M., Young, B. E., Tan, C. H. & Lye, D. C. B. (2021). High-risk chest radiographic features associated with COVID-19 disease severity. PloS ONE, 16(1), e0245518-. https://dx.doi.org/10.1371/journal.pone.0245518 1932-6203 https://hdl.handle.net/10356/152024 10.1371/journal.pone.0245518 33444415 2-s2.0-85099827098 1 16 e0245518 en COVID19RF-001 PloS ONE © 2021 Ong et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. application/pdf |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
Science::Medicine COVID-19 Radiography |
spellingShingle |
Science::Medicine COVID-19 Radiography Ong, Sean Wei Xiang Hui, Terrence Chi Hong Lee, Yeong Shyan Haja Mohideen, Salahudeen Mohamed Young, Barnaby Edward Tan, Cher Heng Lye, David Chien Boon High-risk chest radiographic features associated with COVID-19 disease severity |
description |
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. |
author2 |
Lee Kong Chian School of Medicine (LKCMedicine) |
author_facet |
Lee Kong Chian School of Medicine (LKCMedicine) Ong, Sean Wei Xiang Hui, Terrence Chi Hong Lee, Yeong Shyan Haja Mohideen, Salahudeen Mohamed Young, Barnaby Edward Tan, Cher Heng Lye, David Chien Boon |
format |
Article |
author |
Ong, Sean Wei Xiang Hui, Terrence Chi Hong Lee, Yeong Shyan Haja Mohideen, Salahudeen Mohamed Young, Barnaby Edward Tan, Cher Heng Lye, David Chien Boon |
author_sort |
Ong, Sean Wei Xiang |
title |
High-risk chest radiographic features associated with COVID-19 disease severity |
title_short |
High-risk chest radiographic features associated with COVID-19 disease severity |
title_full |
High-risk chest radiographic features associated with COVID-19 disease severity |
title_fullStr |
High-risk chest radiographic features associated with COVID-19 disease severity |
title_full_unstemmed |
High-risk chest radiographic features associated with COVID-19 disease severity |
title_sort |
high-risk chest radiographic features associated with covid-19 disease severity |
publishDate |
2021 |
url |
https://hdl.handle.net/10356/152024 |
_version_ |
1759854812748316672 |