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Comorbidity and its impact on 1590 patients with COVID-19 in China: a nationwide analysis
BACKGROUND: The coronavirus disease 2019 (COVID-19) outbreak is evolving rapidly worldwide. OBJECTIVE: To evaluate the risk of serious adverse outcomes in patients with COVID-19 by stratifying the comorbidity status. METHODS: We analysed data from 1590 laboratory confirmed hospitalised patients from...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
European Respiratory Society
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7098485/ https://www.ncbi.nlm.nih.gov/pubmed/32217650 http://dx.doi.org/10.1183/13993003.00547-2020 |
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author | Guan, Wei-jie Liang, Wen-hua Zhao, Yi Liang, Heng-rui Chen, Zi-sheng Li, Yi-min Liu, Xiao-qing Chen, Ru-chong Tang, Chun-li Wang, Tao Ou, Chun-quan Li, Li Chen, Ping-yan Sang, Ling Wang, Wei Li, Jian-fu Li, Cai-chen Ou, Li-min Cheng, Bo Xiong, Shan Ni, Zheng-yi Xiang, Jie Hu, Yu Liu, Lei Shan, Hong Lei, Chun-liang Peng, Yi-xiang Wei, Li Liu, Yong Hu, Ya-hua Peng, Peng Wang, Jian-ming Liu, Ji-yang Chen, Zhong Li, Gang Zheng, Zhi-jian Qiu, Shao-qin Luo, Jie Ye, Chang-jiang Zhu, Shao-yong Cheng, Lin-ling Ye, Feng Li, Shi-yue Zheng, Jin-ping Zhang, Nuo-fu Zhong, Nan-shan He, Jian-xing |
author_facet | Guan, Wei-jie Liang, Wen-hua Zhao, Yi Liang, Heng-rui Chen, Zi-sheng Li, Yi-min Liu, Xiao-qing Chen, Ru-chong Tang, Chun-li Wang, Tao Ou, Chun-quan Li, Li Chen, Ping-yan Sang, Ling Wang, Wei Li, Jian-fu Li, Cai-chen Ou, Li-min Cheng, Bo Xiong, Shan Ni, Zheng-yi Xiang, Jie Hu, Yu Liu, Lei Shan, Hong Lei, Chun-liang Peng, Yi-xiang Wei, Li Liu, Yong Hu, Ya-hua Peng, Peng Wang, Jian-ming Liu, Ji-yang Chen, Zhong Li, Gang Zheng, Zhi-jian Qiu, Shao-qin Luo, Jie Ye, Chang-jiang Zhu, Shao-yong Cheng, Lin-ling Ye, Feng Li, Shi-yue Zheng, Jin-ping Zhang, Nuo-fu Zhong, Nan-shan He, Jian-xing |
author_sort | Guan, Wei-jie |
collection | PubMed |
description | BACKGROUND: The coronavirus disease 2019 (COVID-19) outbreak is evolving rapidly worldwide. OBJECTIVE: To evaluate the risk of serious adverse outcomes in patients with COVID-19 by stratifying the comorbidity status. METHODS: We analysed data from 1590 laboratory confirmed hospitalised patients from 575 hospitals in 31 provinces/autonomous regions/provincial municipalities across mainland China between 11 December 2019 and 31 January 2020. We analysed the composite end-points, which consisted of admission to an intensive care unit, invasive ventilation or death. The risk of reaching the composite end-points was compared according to the presence and number of comorbidities. RESULTS: The mean age was 48.9 years and 686 (42.7%) patients were female. Severe cases accounted for 16.0% of the study population. 131 (8.2%) patients reached the composite end-points. 399 (25.1%) reported having at least one comorbidity. The most prevalent comorbidity was hypertension (16.9%), followed by diabetes (8.2%). 130 (8.2%) patients reported having two or more comorbidities. After adjusting for age and smoking status, COPD (HR (95% CI) 2.681 (1.424–5.048)), diabetes (1.59 (1.03–2.45)), hypertension (1.58 (1.07–2.32)) and malignancy (3.50 (1.60–7.64)) were risk factors of reaching the composite end-points. The hazard ratio (95% CI) was 1.79 (1.16–2.77) among patients with at least one comorbidity and 2.59 (1.61–4.17) among patients with two or more comorbidities. CONCLUSION: Among laboratory confirmed cases of COVID-19, patients with any comorbidity yielded poorer clinical outcomes than those without. A greater number of comorbidities also correlated with poorer clinical outcomes. |
format | Online Article Text |
id | pubmed-7098485 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | European Respiratory Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-70984852020-03-26 Comorbidity and its impact on 1590 patients with COVID-19 in China: a nationwide analysis Guan, Wei-jie Liang, Wen-hua Zhao, Yi Liang, Heng-rui Chen, Zi-sheng Li, Yi-min Liu, Xiao-qing Chen, Ru-chong Tang, Chun-li Wang, Tao Ou, Chun-quan Li, Li Chen, Ping-yan Sang, Ling Wang, Wei Li, Jian-fu Li, Cai-chen Ou, Li-min Cheng, Bo Xiong, Shan Ni, Zheng-yi Xiang, Jie Hu, Yu Liu, Lei Shan, Hong Lei, Chun-liang Peng, Yi-xiang Wei, Li Liu, Yong Hu, Ya-hua Peng, Peng Wang, Jian-ming Liu, Ji-yang Chen, Zhong Li, Gang Zheng, Zhi-jian Qiu, Shao-qin Luo, Jie Ye, Chang-jiang Zhu, Shao-yong Cheng, Lin-ling Ye, Feng Li, Shi-yue Zheng, Jin-ping Zhang, Nuo-fu Zhong, Nan-shan He, Jian-xing Eur Respir J Original Articles BACKGROUND: The coronavirus disease 2019 (COVID-19) outbreak is evolving rapidly worldwide. OBJECTIVE: To evaluate the risk of serious adverse outcomes in patients with COVID-19 by stratifying the comorbidity status. METHODS: We analysed data from 1590 laboratory confirmed hospitalised patients from 575 hospitals in 31 provinces/autonomous regions/provincial municipalities across mainland China between 11 December 2019 and 31 January 2020. We analysed the composite end-points, which consisted of admission to an intensive care unit, invasive ventilation or death. The risk of reaching the composite end-points was compared according to the presence and number of comorbidities. RESULTS: The mean age was 48.9 years and 686 (42.7%) patients were female. Severe cases accounted for 16.0% of the study population. 131 (8.2%) patients reached the composite end-points. 399 (25.1%) reported having at least one comorbidity. The most prevalent comorbidity was hypertension (16.9%), followed by diabetes (8.2%). 130 (8.2%) patients reported having two or more comorbidities. After adjusting for age and smoking status, COPD (HR (95% CI) 2.681 (1.424–5.048)), diabetes (1.59 (1.03–2.45)), hypertension (1.58 (1.07–2.32)) and malignancy (3.50 (1.60–7.64)) were risk factors of reaching the composite end-points. The hazard ratio (95% CI) was 1.79 (1.16–2.77) among patients with at least one comorbidity and 2.59 (1.61–4.17) among patients with two or more comorbidities. CONCLUSION: Among laboratory confirmed cases of COVID-19, patients with any comorbidity yielded poorer clinical outcomes than those without. A greater number of comorbidities also correlated with poorer clinical outcomes. European Respiratory Society 2020-05-14 /pmc/articles/PMC7098485/ /pubmed/32217650 http://dx.doi.org/10.1183/13993003.00547-2020 Text en Copyright ©ERS 2020 http://creativecommons.org/licenses/by-nc/4.0/This version is distributed under the terms of the Creative Commons Attribution Non-Commercial Licence 4.0. |
spellingShingle | Original Articles Guan, Wei-jie Liang, Wen-hua Zhao, Yi Liang, Heng-rui Chen, Zi-sheng Li, Yi-min Liu, Xiao-qing Chen, Ru-chong Tang, Chun-li Wang, Tao Ou, Chun-quan Li, Li Chen, Ping-yan Sang, Ling Wang, Wei Li, Jian-fu Li, Cai-chen Ou, Li-min Cheng, Bo Xiong, Shan Ni, Zheng-yi Xiang, Jie Hu, Yu Liu, Lei Shan, Hong Lei, Chun-liang Peng, Yi-xiang Wei, Li Liu, Yong Hu, Ya-hua Peng, Peng Wang, Jian-ming Liu, Ji-yang Chen, Zhong Li, Gang Zheng, Zhi-jian Qiu, Shao-qin Luo, Jie Ye, Chang-jiang Zhu, Shao-yong Cheng, Lin-ling Ye, Feng Li, Shi-yue Zheng, Jin-ping Zhang, Nuo-fu Zhong, Nan-shan He, Jian-xing Comorbidity and its impact on 1590 patients with COVID-19 in China: a nationwide analysis |
title | Comorbidity and its impact on 1590 patients with COVID-19 in China: a nationwide analysis |
title_full | Comorbidity and its impact on 1590 patients with COVID-19 in China: a nationwide analysis |
title_fullStr | Comorbidity and its impact on 1590 patients with COVID-19 in China: a nationwide analysis |
title_full_unstemmed | Comorbidity and its impact on 1590 patients with COVID-19 in China: a nationwide analysis |
title_short | Comorbidity and its impact on 1590 patients with COVID-19 in China: a nationwide analysis |
title_sort | comorbidity and its impact on 1590 patients with covid-19 in china: a nationwide analysis |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7098485/ https://www.ncbi.nlm.nih.gov/pubmed/32217650 http://dx.doi.org/10.1183/13993003.00547-2020 |
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