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Mao, Bei; Liu, Yang; Chai, Yan-Hua; Jin, Xiao-Yan; Lu, Hai-Wen; Yang, Jia-Wei; Gao, Xi-Wen; Song, Xiao-Lian; Bao, Hong; Wang, An; Gu, Wen-Chao; Zhao, Lei; Pan, Jie-Ping; Li, Fan; Zhang, Tie-Feng; Qian, Ye-Chang; Du, Chun-Ling; Ding, Wei; Tu, Chun-Lin; Chu, De-Jie; Li, Chun; Ye, Ling; Luo, Yong; Zheng, Cui-Xia; Yu, Rong-Huan; Qiu, Zhong-Min; Cao, Hui-Fang; Ren, Jia-Wei; Zhao, Jing-Ya; Wang, Chang-Hui; Lu, Hong-Zhou; Li, Jun; Hu, Yang; Liang, Shuo; Jie, Zhi-Jun; Qu, Jie-Ming; Xu, Jin-Fu
The Lancet. Digital health, 06/2020, Volume: 2, Issue: 6Journal Article
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. 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. 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<0·0001), fatigue (OR 1·56, 1·01–2·41; p=0·043), white blood cell count less than 4 × 109 per L (OR 2·44, 1·28–4·64; p=0·0066), lymphocyte count less than 0·8 × 109 per L (OR 1·82, 1·00–3·31; p=0·049), ground glass opacity (OR 1·95, 1·32–2·89; p=0·0009), and having both lungs affected (OR 1·54, 1·04–2·28; p=0·032) were independent risk factors for confirmed COVID-19. The screening strategy was effective for confirming or excluding COVID-19 during the spread of this contagious disease. Relevant independent risk factors identified in this study might be helpful for early recognition of the disease. National Natural Science Foundation of China.
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