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.