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Clinical Factors and Quantitative CT Parameters Associated With ICU Admission in Patients of COVID-19 Pneumonia: A Multicenter Study
The clinical spectrum of COVID-19 pneumonia is varied. Thus, it is important to identify risk factors at an early stage for predicting deterioration that require transferring the patients to ICU. A retrospective multicenter study was conducted on COVID-19 patients admitted to designated hospitals in...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8101702/ https://www.ncbi.nlm.nih.gov/pubmed/33968885 http://dx.doi.org/10.3389/fpubh.2021.648360 |
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author | Yan, Chengxi Chang, Ying Yu, Huan Xu, Jingxu Huang, Chencui Yang, Minglei Wang, Yiqiao Wang, Di Yu, Tian Wei, Shuqin Li, Zhenyu Gong, Feifei Kou, Mingqing Gou, Wenjing Zhao, Qili Sun, Penghui Jia, Xiuqin Fan, Zhaoyang Xu, Jiali Li, Sijie Yang, Qi |
author_facet | Yan, Chengxi Chang, Ying Yu, Huan Xu, Jingxu Huang, Chencui Yang, Minglei Wang, Yiqiao Wang, Di Yu, Tian Wei, Shuqin Li, Zhenyu Gong, Feifei Kou, Mingqing Gou, Wenjing Zhao, Qili Sun, Penghui Jia, Xiuqin Fan, Zhaoyang Xu, Jiali Li, Sijie Yang, Qi |
author_sort | Yan, Chengxi |
collection | PubMed |
description | The clinical spectrum of COVID-19 pneumonia is varied. Thus, it is important to identify risk factors at an early stage for predicting deterioration that require transferring the patients to ICU. A retrospective multicenter study was conducted on COVID-19 patients admitted to designated hospitals in China from Jan 17, 2020, to Feb 17, 2020. Clinical presentation, laboratory data, and quantitative CT parameters were also collected. The result showed that increasing risks of ICU admission were associated with age > 60 years (odds ratio [OR], 12.72; 95% confidence interval [CI], 2.42–24.61; P = 0.032), coexisting conditions (OR, 5.55; 95% CI, 1.59–19.38; P = 0.007) and CT derived total opacity percentage (TOP) (OR, 8.0; 95% CI, 1.45–39.29; P = 0.016). In conclusion, older age, coexisting conditions, larger TOP at the time of hospital admission are associated with ICU admission in patients with COVID-19 pneumonia. Early monitoring the progression of the disease and implementing appropriate therapies are warranted. |
format | Online Article Text |
id | pubmed-8101702 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-81017022021-05-07 Clinical Factors and Quantitative CT Parameters Associated With ICU Admission in Patients of COVID-19 Pneumonia: A Multicenter Study Yan, Chengxi Chang, Ying Yu, Huan Xu, Jingxu Huang, Chencui Yang, Minglei Wang, Yiqiao Wang, Di Yu, Tian Wei, Shuqin Li, Zhenyu Gong, Feifei Kou, Mingqing Gou, Wenjing Zhao, Qili Sun, Penghui Jia, Xiuqin Fan, Zhaoyang Xu, Jiali Li, Sijie Yang, Qi Front Public Health Public Health The clinical spectrum of COVID-19 pneumonia is varied. Thus, it is important to identify risk factors at an early stage for predicting deterioration that require transferring the patients to ICU. A retrospective multicenter study was conducted on COVID-19 patients admitted to designated hospitals in China from Jan 17, 2020, to Feb 17, 2020. Clinical presentation, laboratory data, and quantitative CT parameters were also collected. The result showed that increasing risks of ICU admission were associated with age > 60 years (odds ratio [OR], 12.72; 95% confidence interval [CI], 2.42–24.61; P = 0.032), coexisting conditions (OR, 5.55; 95% CI, 1.59–19.38; P = 0.007) and CT derived total opacity percentage (TOP) (OR, 8.0; 95% CI, 1.45–39.29; P = 0.016). In conclusion, older age, coexisting conditions, larger TOP at the time of hospital admission are associated with ICU admission in patients with COVID-19 pneumonia. Early monitoring the progression of the disease and implementing appropriate therapies are warranted. Frontiers Media S.A. 2021-04-22 /pmc/articles/PMC8101702/ /pubmed/33968885 http://dx.doi.org/10.3389/fpubh.2021.648360 Text en Copyright © 2021 Yan, Chang, Yu, Xu, Huang, Yang, Wang, Wang, Yu, Wei, Li, Gong, Kou, Gou, Zhao, Sun, Jia, Fan, Xu, Li and Yang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Yan, Chengxi Chang, Ying Yu, Huan Xu, Jingxu Huang, Chencui Yang, Minglei Wang, Yiqiao Wang, Di Yu, Tian Wei, Shuqin Li, Zhenyu Gong, Feifei Kou, Mingqing Gou, Wenjing Zhao, Qili Sun, Penghui Jia, Xiuqin Fan, Zhaoyang Xu, Jiali Li, Sijie Yang, Qi Clinical Factors and Quantitative CT Parameters Associated With ICU Admission in Patients of COVID-19 Pneumonia: A Multicenter Study |
title | Clinical Factors and Quantitative CT Parameters Associated With ICU Admission in Patients of COVID-19 Pneumonia: A Multicenter Study |
title_full | Clinical Factors and Quantitative CT Parameters Associated With ICU Admission in Patients of COVID-19 Pneumonia: A Multicenter Study |
title_fullStr | Clinical Factors and Quantitative CT Parameters Associated With ICU Admission in Patients of COVID-19 Pneumonia: A Multicenter Study |
title_full_unstemmed | Clinical Factors and Quantitative CT Parameters Associated With ICU Admission in Patients of COVID-19 Pneumonia: A Multicenter Study |
title_short | Clinical Factors and Quantitative CT Parameters Associated With ICU Admission in Patients of COVID-19 Pneumonia: A Multicenter Study |
title_sort | clinical factors and quantitative ct parameters associated with icu admission in patients of covid-19 pneumonia: a multicenter study |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8101702/ https://www.ncbi.nlm.nih.gov/pubmed/33968885 http://dx.doi.org/10.3389/fpubh.2021.648360 |
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