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山东大学学报 (医学版) ›› 2020, Vol. 58 ›› Issue (10): 60-65.doi: 10.6040/j.issn.1671-7554.0.2020.0690

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湖北省新型冠状病毒肺炎患者发生重型、危重型的影响因素

刘军1*,李欢2*,张仕玉2,张鹏3,艾思奇2,田飞2,林华亮2   

  1. 1. 潜江市疾病预防控制中心中心办公室, 湖北 潜江 433100;2. 中山大学公共卫生学院流行病学系, 广东 广州 510080;3. 湖北省疾病预防控制中心预防医学信息研究所, 湖北 武汉 430000
  • 发布日期:2020-10-08
  • 通讯作者: 林华亮. E-mail:linhualiang@mail.sysu.edu.cn*共同第一作者.
  • 基金资助:
    国家自然科学基金(82041021)

Risk factors of severe and critical patients with COVID-19 in Hubei, China

LIU Jun1*, LI Huan2*, ZHANG Shiyu2, ZHANG Peng3, AI Siqi2, TIAN Fei2, LIN Hualiang2   

  1. 1. Central Office, Qianjiang Center for Disease Control and Prevention, Qianjiang 433100, Hubei, China;
    2. Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China;
    3. Institute of Preventive Medicine Information, Hubei Provincial Center for Disease Control and Prevention, Wuhan 430000, Hubei, China
  • Published:2020-10-08

摘要: 目的 探讨湖北省新型冠状病毒肺炎(COVID-19)患者发生重型、危重型的危险因素。 方法 收集截至2020年3月18日国家法定传染病报告系统中现住址为湖北省的COVID-19确诊病例数据,根据患者是否出现重症或危重症,把患者分成两组:轻型/普通型患者及重型/危重型患者。描述两组患者一般特征和暴露情况,通过Logistic回归模型探讨COVID-19患者发生重型、危重型的危险因素。 结果 共纳入确诊病例48 814例,其中轻型/普通型患者38 730例,重型/危重型患者10 084例。病例年龄中位数为54(41,65)岁。多因素分析显示,高龄、男性、离退休人员/居家办公者、武汉市民、外来人口、发病到诊断更长的时间间隔、低温、高浓度PM2.5/PM10/SO2/O3暴露增加COVID-19患者发展为重症/危重症的风险。 结论 高龄、男性、离退休人员/居家办公者、武汉市民、外来人口、发病到诊断更长的时间间隔、低温、大气污染暴露是COVID-19患者发展为重型/危重型的危险因素,应重视具有这些特征人群的疫情防控。

关键词: COVID-19, 重症, 危重症, 低温, 空气污染

Abstract: Objective To investigate the risk factors of severe and critical patients with coronavirus disease 2019(COVID-19)in Hubei, China. Methods All patients with COVID-19 registered in the National Legal Infectious Disease Reporting System of Hubei Provincial Center for Disease Control and Prevention, as of March 18, 2020, were recruited. According to the symptoms, the patients were divided into two groups: mild/moderate patients and severe/critical patients. Their general characteristics were described, and the risk factors of severe and critical patients with COVID-19 were explored by using a Logistic regression model. Results A total of 48 814 cases were included, of which 38 730 were mild/moderate patients and 10 084 were severe/critical patients. The median age was 54(41, 65)years. Multivariate analysis showed that the elderly, male, home workers, people in Wuhan City, migrants, longer interval between onset and diagnosis, low temperature, higher concentrations of PM2.5/PM10/SO2/O3 increased the risk of severe/critical diagnosis in patients with COVID-19. Conclusion The elderly, male, home workers, people in Wuhan City, migrants, longer interval between onset and diagnosis, low temperature, and air pollution exposure are risk factors for severe/critical COVID-19 patients. More attention should be paid to people with these characteristics.

Key words: Coronavirus disease 2019, Severe patients, Critical patients, Low temperature, Air pollution

中图分类号: 

  • R184
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