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OpenSAFELYを使用したCOVID-19に関連する死亡に関連する要因
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
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PubMed で要約を見る
まとめ
この研究では,男性の性別,高齢者,および特定の健康状態を含む,COVID-19による死亡の主な危険因子を特定しました. 少数民族のグループ,特に黒人と南アジア人は,調整後でもより高いリスクに直面しました.
科学分野:
- 公衆衛生
- 流行病学
- 医療情報学
背景:
- 2019年新型コロナウイルス病 (COVID-19) は,世界的に著しい死亡率を引き起こしています.
- 深刻なCOVID-19の危険因子を理解することは,公衆衛生の介入にとって極めて重要です.
- 大規模な患者のデータを 適切なタイミングで分析することは リスクのある集団を特定するのに不可欠です
研究 の 目的:
- 安全な健康分析プラットフォームを使用して,COVID-19に関連する死亡に関連する要因を調べる.
- 大人のコホートにおける死亡率の人口統計的,社会経済的,臨床的予測要因を特定する.
- 標的型公衆衛生戦略と臨床管理のための証拠を提供すること.
主な方法:
- 英国の患者の40%をカバーする 安全な健康分析プラットフォームであるOpenSAFELYを利用しました
- 偽名でリンクされた初等医療の電子医療記録は,1万7,27万8,392人の成人で,COVID-19に関連する死亡者は1万9,926人であった.
- 様々な危険因子に対する危険比率を決定するために生存分析を使用した.
主要な成果:
- 男性の性別,高齢化,貧困は,高度のCOVID-19死亡リスクと有意に関連していた.
- 糖尿病や重度の喘息などの既往疾患が死亡リスクを増加させた.
- 黒人と南アジア人の集団は,他の要因を考慮したとしても,白人と比較してCOVID-19に関連する死亡のリスクが高いことが示された.
結論:
- 大規模なコホート研究で,COVID-19 死亡率に関連した多数の臨床的要因を定量化しました.
- COVID-19のアウトカムにおける有意な民族的差異を強調した.
- OpenSAFELYプラットフォームの継続的な拡張を強調しました.
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