使用OpenSAFELY的COVID-19相关死亡因素
Elizabeth J Williamson1, Alex J Walker2, Krishnan Bhaskaran1
1London School of Hygiene and Tropical Medicine, Faculty of Epidemiology and Population Health, London, UK.
Nature
|July 9, 2020
概括
这项研究确定了COVID-19死亡的关键风险因素,包括男性性别,年龄和某些疾病. 少数民族,特别是黑人和南亚人,即使经过调整,也面临更高的风险.
科学领域:
- 公共卫生
- 流行病学
- 卫生信息学
背景情况:
- 2019年新冠病毒病 (COVID-19) 在全球造成了显著的死亡率.
- 了解COVID-19严重结果的危险因素对于公共卫生干预至关重要.
- 及时分析大规模患者数据对于识别有风险人群至关重要.
研究的目的:
- 使用安全的健康分析平台检查与COVID-19相关死亡相关的因素.
- 确定大量成年人群中的人口,社会经济和临床预测因素.
- 为有针对性的公共卫生战略和临床管理提供证据.
主要方法:
- 使用OpenSAFELY,一个安全的健康分析平台,覆盖英格兰40%的患者.
- 假名链接的初级保健电子健康记录共有17,278,392名成年人,其中有10,926人死于COVID-19.
- 使用生存分析来确定各种风险因素的危险比率.
主要成果:
- 男性性别,年龄增长和贫困与较高的COVID-19死亡风险有显著联系.
- 包括糖尿病和严重喘在内的先前存在的疾病增加了死亡风险.
- 与白人相比,黑人和南亚族群的COVID-19相关死亡风险更高,即使对其他因素进行了调整.
结论:
- 在大型队列研究中量化了与COVID-19死亡相关的众多临床因素.
- 突出了COVID-19结果中的显著种族差异.
- 强调开放安全平台的持续扩展,
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