Assessing risk factors for SARS-CoV-2 infection in patients presenting with symptoms in Shanghai, China: a multicentre, observational cohort study

Autor: Chun Li, Xiaoyan Jin, De-Jie Chu, Jia-Wei Yang, Yong Luo, Jing-ya Zhao, Jie-ping Pan, Yang Hu, Jin-Fu Xu, Cui-xia Zheng, Jun Li, Chun-Lin Tu, Shuo Liang, Yechang Qian, Zhong-Min Qiu, Hong Bao, Fan Li, Lei Zhao, Wenchao Gu, Jia-wei Ren, Hui-fang Cao, Jie-Ming Qu, Hong-Zhou Lu, Zhijun Jie, An Wang, Xi-Wen Gao, Wei Ding, Tie-Feng Zhang, Bei Mao, Ling Ye, Xiao-lian Song, Rong-huan Yu, Chunling Du, Chang-hui Wang, Yang Liu, Yan-hua Chai, Hai-Wen Lu
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: The Lancet Digital Health
The Lancet. Digital Health
ISSN: 2589-7500
DOI: 10.1016/s2589-7500(20)30109-6
Popis: Summary Background The outbreak of COVID-19 has led to international concern. We aimed to establish an effective screening strategy in Shanghai, China, to aid early identification of patients with COVID-19. Methods We did a multicentre, observational cohort study in fever clinics of 25 hospitals in 16 districts of Shanghai. All patients visiting the clinics within the study period were included. A strategy for COVID-19 screening was presented and then suspected cases were monitored and analysed until they were confirmed as cases or excluded. Logistic regression was used to determine the risk factors of COVID-19. Findings We enrolled patients visiting fever clinics from Jan 17 to Feb 16, 2020. Among 53 617 patients visiting fever clinics, 1004 (1·9%) were considered as suspected cases, with 188 (0·4% of all patients, 18·7% of suspected cases) eventually diagnosed as confirmed cases. 154 patients with missing data were excluded from the analysis. Exposure history (odds ratio [OR] 4·16, 95% CI 2·74–6·33; p
Databáze: OpenAIRE