RT Journal Article
SR Electronic
T1 Comorbidity and its impact on 1590 patients with Covid-19 in China: A Nationwide Analysis
JF European Respiratory Journal
JO Eur Respir J
FD European Respiratory Society
SP 2000547
DO 10.1183/13993003.00547-2020
A1 Guan, Wei-jie
A1 Liang, Wen-hua
A1 Zhao, Yi
A1 Liang, Heng-rui
A1 Chen, Zi-sheng
A1 Li, Yi-min
A1 Liu, Xiao-qing
A1 Chen, Ru-chong
A1 Tang, Chun-li
A1 Wang, Tao
A1 Ou, Chun-quan
A1 Li, Li
A1 Chen, Ping-yan
A1 Sang, Ling
A1 Wang, Wei
A1 Li, Jian-fu
A1 Li, Cai-chen
A1 Ou, Li-min
A1 Cheng, Bo
A1 Xiong, Shan
A1 Ni, Zheng-yi
A1 Xiang, Jie
A1 Hu, Yu
A1 Liu, Lei
A1 Shan, Hong
A1 Lei, Chun-liang
A1 Peng, Yi-xiang
A1 Wei, Li
A1 Liu, Yong
A1 Hu, Ya-hua
A1 Peng, Peng
A1 Wang, Jian-ming
A1 Liu, Ji-yang
A1 Chen, Zhong
A1 Li, Gang
A1 Zheng, Zhi-jian
A1 Qiu, Shao-qin
A1 Luo, Jie
A1 Ye, Chang-jiang
A1 Zhu, Shao-yong
A1 Cheng, Lin-ling
A1 Ye, Feng
A1 Li, Shi-yue
A1 Zheng, Jin-ping
A1 Zhang, Nuo-fu
A1 Zhong, Nan-shan
A1 He, Jian-xing
YR 2020
UL http://erj.ersjournals.com/content/early/2020/03/17/13993003.00547-2020.abstract
AB Background The coronavirus disease 2019 (Covid-19) outbreak is evolving rapidly worldwide.Objective To evaluate the risk of serious adverse outcomes in patients with coronavirus disease 2019 (Covid-19) by stratifying the comorbidity status.Methods We analysed the data from 1590 laboratory-confirmed hospitalised patients 575 hospitals in 31 province/autonomous regions/provincial municipalities across mainland China between December 11th, 2019 and January 31st, 2020. We analyse the composite endpoints, which consisted of admission to intensive care unit, or invasive ventilation, or death. The risk of reaching to the composite endpoints was compared according to the presence and number of comorbidities.Results The mean age was 48.9 years. 686 patients (42.7%) were females. Severe cases accounted for 16.0% of the study population. 131 (8.2%) patients reached to the composite endpoints. 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 [hazards ratio (HR) 2.681, 95% confidence interval (95%CI) 1.424–5.048], diabetes (HR 1.59, 95%CI 1.03–2.45), hypertension (HR 1.58, 95%CI 1.07–2.32) and malignancy (HR 3.50, 95%CI 1.60–7.64) were risk factors of reaching to the composite endpoints. The HR was 1.79 (95%CI 1.16–2.77) among patients with at least one comorbidity and 2.59 (95%CI 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.The presence and number of comorbidities predicted clinical outcomes of Covid-19.