PT - JOURNAL ARTICLE AU - Wei-jie Guan AU - Wen-hua Liang AU - Yi Zhao AU - Heng-rui Liang AU - Zi-sheng Chen AU - Yi-min Li AU - Xiao-qing Liu AU - Ru-chong Chen AU - Chun-li Tang AU - Tao Wang AU - Chun-quan Ou AU - Li Li AU - Ping-yan Chen AU - Ling Sang AU - Wei Wang AU - Jian-fu Li AU - Cai-chen Li AU - Li-min Ou AU - Bo Cheng AU - Shan Xiong AU - Zheng-yi Ni AU - Jie Xiang AU - Yu Hu AU - Lei Liu AU - Hong Shan AU - Chun-liang Lei AU - Yi-xiang Peng AU - Li Wei AU - Yong Liu AU - Ya-hua Hu AU - Peng Peng AU - Jian-ming Wang AU - Ji-yang Liu AU - Zhong Chen AU - Gang Li AU - Zhi-jian Zheng AU - Shao-qin Qiu AU - Jie Luo AU - Chang-jiang Ye AU - Shao-yong Zhu AU - Lin-ling Cheng AU - Feng Ye AU - Shi-yue Li AU - Jin-ping Zheng AU - Nuo-fu Zhang AU - Nan-shan Zhong AU - Jian-xing He ED - , TI - Comorbidity and its impact on 1590 patients with COVID-19 in China: a nationwide analysis AID - 10.1183/13993003.00547-2020 DP - 2020 May 01 TA - European Respiratory Journal PG - 2000547 VI - 55 IP - 5 4099 - http://erj.ersjournals.com/content/55/5/2000547.short 4100 - http://erj.ersjournals.com/content/55/5/2000547.full SO - Eur Respir J2020 May 01; 55 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 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.The presence and number of comorbidities predict clinical outcomes of COVID-19 http://bit.ly/3b9ibw5