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Nature:OpenSAFELY:1700万患者中与COVID-19死亡相关的因素有哪些?

2020-07-09 MedSci原创 MedSci原创

COVID-19的蔓延正在迅速影响全世界的死亡率。目前,了解哪些人最有可能出现严重后果具有前所未有的紧迫性,而为了达成这个目的,我们需要新的方法来及时分析大型数据集。

COVID-19的蔓延正在迅速影响全世界的死亡率。目前,了解哪些人最有可能出现严重后果具有前所未有的紧迫性,而为了达成这个目的,我们需要新的方法来及时分析大型数据集。

英国国家医疗服务系统(NHS)的工作人员创建了OpenSAFELY:一个安全的健康分析平台,覆盖了英格兰40%的患者,在一个主要的初级保健电子健康记录供应商的现有数据中心内保存患者数据。

17,278,392名成人的初级保健记录与10,926例COVID-19相关死亡病例进行了假名关联。COVID-19相关死亡与以下因素有关:男性(危险比(HR)1.59,95%置信区间(CI)1.53-1.65);年龄较大和贫困(两者都有很强的梯度);糖尿病;严重哮喘;以及其他各种医疗条件。

与白种人相比,即使调整了其他因素,黑人和南亚人的风险也更高(HR分别为1.48,1.30-1.69和1.44,1.32-1.58)。

因此,该研究在迄今为止最大规模的队列研究中量化了一系列COVID-19相关死亡的临床风险因素。OpenSAFELY正在迅速增加更多的患者记录,研究人员表示,其将定期更新和扩展结果。

 

原始出处:

Elizabeth J. Williamson et al. OpenSAFELY: factors associated with COVID-19 death in 17 million patients. Nature(2020). 

 

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    2021-05-04 feather89
  2. [GetPortalCommentsPageByObjectIdResponse(id=1728597, encodeId=c68a1e285979a, content=<a href='/topic/show?id=986913980dd' target=_blank style='color:#2F92EE;'>#PE#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=58, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=13980, encryptionId=986913980dd, topicName=PE)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f06c33759375, createdName=feather89, createdTime=Tue May 04 04:44:10 CST 2021, time=2021-05-04, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=813825, encodeId=104881382533, content=学习了, beContent=null, objectType=article, channel=null, level=null, likeNumber=0, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=64245268311, createdName=14818eb4m67暂无昵称, createdTime=Thu Aug 27 08:25:27 CST 2020, time=2020-08-27, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1884443, encodeId=4a83188444355, content=<a href='/topic/show?id=3b2112532d8' target=_blank style='color:#2F92EE;'>#Nat#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=41, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=12532, encryptionId=3b2112532d8, topicName=Nat)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=2e6f107, createdName=liye789132251, createdTime=Mon Dec 07 03:44:10 CST 2020, time=2020-12-07, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=801971, encodeId=8b5f8019e157, content=黑人和南亚人风险最高<a href='/topic/show?id=46ce580e865' target=_blank style='color:#2F92EE;'>#新冠肺炎#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=118, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=58078, encryptionId=46ce580e865, topicName=新冠肺炎)], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20220519/c2ab253484ee4527a2d4e9589a4821ac/45de9bf494a54becb2ea4369c9d11e85.jpg, createdBy=7a3710, createdName=lovetcm, createdTime=Thu Jul 09 22:47:22 CST 2020, time=2020-07-09, status=1, ipAttribution=)]
    2020-08-27 14818eb4m67暂无昵称

    学习了

    0

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    2020-12-07 liye789132251
  4. [GetPortalCommentsPageByObjectIdResponse(id=1728597, encodeId=c68a1e285979a, content=<a href='/topic/show?id=986913980dd' target=_blank style='color:#2F92EE;'>#PE#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=58, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=13980, encryptionId=986913980dd, topicName=PE)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f06c33759375, createdName=feather89, createdTime=Tue May 04 04:44:10 CST 2021, time=2021-05-04, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=813825, encodeId=104881382533, content=学习了, beContent=null, objectType=article, channel=null, level=null, likeNumber=0, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=64245268311, createdName=14818eb4m67暂无昵称, createdTime=Thu Aug 27 08:25:27 CST 2020, time=2020-08-27, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1884443, encodeId=4a83188444355, content=<a href='/topic/show?id=3b2112532d8' target=_blank style='color:#2F92EE;'>#Nat#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=41, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=12532, encryptionId=3b2112532d8, topicName=Nat)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=2e6f107, createdName=liye789132251, createdTime=Mon Dec 07 03:44:10 CST 2020, time=2020-12-07, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=801971, encodeId=8b5f8019e157, content=黑人和南亚人风险最高<a href='/topic/show?id=46ce580e865' target=_blank style='color:#2F92EE;'>#新冠肺炎#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=118, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=58078, encryptionId=46ce580e865, topicName=新冠肺炎)], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20220519/c2ab253484ee4527a2d4e9589a4821ac/45de9bf494a54becb2ea4369c9d11e85.jpg, createdBy=7a3710, createdName=lovetcm, createdTime=Thu Jul 09 22:47:22 CST 2020, time=2020-07-09, status=1, ipAttribution=)]
    2020-07-09 lovetcm

    黑人和南亚人风险最高#新冠肺炎#

    0

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