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新冠疫情下如何组织开展高水平临床研究?

2020-07-22 郭亚兵, 孙剑, 朱宏 肝脏

新型冠状病毒肺炎疫情(以下简称“新冠疫情”)在武汉自报警发现到暴发过程,如同山洪来袭,初如涓涓溪流,继而骤然滔滔洪水,让人避之不及。2020年1月20日开始,武汉新冠定点医院发

新型冠状病毒肺炎疫情(以下简称“新冠疫情”)在武汉自报警发现到暴发过程,如同山洪来袭,初如涓涓溪流,继而骤然滔滔洪水,让人避之不及。2020年1月20日开始,武汉新冠定点医院发热门诊和病房出现“挤兑”险情,医务人员和医疗防护用品等医疗资源出现缺口,及时赶到湖北的全国各地医疗队和后勤支援,及时堵住了防疫溃口,解决了燃眉之急。但从长远来看,对于新发传染病的防控,最终的出路是要依靠科学研究。而作为临床一线的医务人员,开展高质量的临床研究更是责无旁贷。 2020年1月24日首批支援武汉的是广东和上海的高水平医院的医疗队伍,不论在医德、医疗水平、学术造诣等方面,都代表了国内的一流水平。能当排头尖兵,能打赢遭遇战,充分体现出了这支医疗队崇高的医德和医疗高水平的应变能力;尽管在抗疫后期进行了一些临床和实验研究[1],但在高水平临床研究上却乏善可陈。本文结合医疗队实际情况,就在疫情下如何开展临床研究进行经验总结。 一、初期舆论压力造成研究兴趣锐减 纵观国内情况,在疫情初期,病毒研究所和疾控中心等医学基础和应用研究人员做了卓有成效的基础工作[2],很快分离鉴定出了肺炎病原微生物——新型冠状病毒(后被正式

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  1. [GetPortalCommentsPageByObjectIdResponse(id=902651, encodeId=a80e90265128, content=很好的话题, beContent=null, objectType=article, channel=null, level=null, likeNumber=89, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=21e21981035, createdName=gucan_cs, createdTime=Thu Nov 26 23:47:58 CST 2020, time=2020-11-26, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=803885, encodeId=51a680388561, content=学习, beContent=null, objectType=article, channel=null, level=null, likeNumber=106, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=a0692435677, createdName=13123c6d8dm, createdTime=Wed Jul 22 12:09:51 CST 2020, time=2020-07-22, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1028330, encodeId=782b1028330e5, content=新冠肺炎,疫情何时才能消失, beContent=null, objectType=article, channel=null, level=null, likeNumber=78, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=公卫新人, createdTime=Wed Jul 22 10:30:31 CST 2020, time=2020-07-22, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=803858, encodeId=cdb1803858da, content=冗长🌚, beContent=null, objectType=article, channel=null, level=null, likeNumber=122, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20200529/3611e9bb629c4e5b81fbd8ce784b06cc/128487eae357460bb98f67d86230c218.jpg, createdBy=ab235268530, createdName=神盾医疗局局长Jack, createdTime=Wed Jul 22 10:07:26 CST 2020, time=2020-07-22, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=803842, encodeId=e89f803842e2, content=出发与临床,与大数据结合, beContent=null, objectType=article, channel=null, level=null, likeNumber=111, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=3fae4968216, createdName=lcy5465, createdTime=Wed Jul 22 08:57:08 CST 2020, time=2020-07-22, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=803824, encodeId=21c3803824da, content=初涓涓细流, beContent=null, objectType=article, channel=null, level=null, likeNumber=120, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20200720/956eb01f4b594ee783debae7a44d9096/e569cb8381764328b493c23491d86c27.jpg, createdBy=2cbc5401622, createdName=老婆子, createdTime=Wed Jul 22 08:33:25 CST 2020, time=2020-07-22, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=803809, encodeId=70d2803809ae, content=<a href='/topic/show?id=3a3a22925b7' target=_blank style='color:#2F92EE;'>#临床研究#</a>写的一般, beContent=null, objectType=article, channel=null, level=null, likeNumber=230, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=22925, encryptionId=3a3a22925b7, topicName=临床研究)], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20220519/c2ab253484ee4527a2d4e9589a4821ac/45de9bf494a54becb2ea4369c9d11e85.jpg, createdBy=7a3710, createdName=lovetcm, createdTime=Wed Jul 22 07:58:01 CST 2020, time=2020-07-22, status=1, ipAttribution=)]
    2020-11-26 gucan_cs

    很好的话题

    0

  2. [GetPortalCommentsPageByObjectIdResponse(id=902651, encodeId=a80e90265128, content=很好的话题, beContent=null, objectType=article, channel=null, level=null, likeNumber=89, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=21e21981035, createdName=gucan_cs, createdTime=Thu Nov 26 23:47:58 CST 2020, time=2020-11-26, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=803885, encodeId=51a680388561, content=学习, beContent=null, objectType=article, channel=null, level=null, likeNumber=106, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=a0692435677, createdName=13123c6d8dm, createdTime=Wed Jul 22 12:09:51 CST 2020, time=2020-07-22, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1028330, encodeId=782b1028330e5, content=新冠肺炎,疫情何时才能消失, beContent=null, objectType=article, channel=null, level=null, likeNumber=78, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=公卫新人, createdTime=Wed Jul 22 10:30:31 CST 2020, time=2020-07-22, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=803858, encodeId=cdb1803858da, content=冗长🌚, beContent=null, objectType=article, channel=null, level=null, likeNumber=122, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20200529/3611e9bb629c4e5b81fbd8ce784b06cc/128487eae357460bb98f67d86230c218.jpg, createdBy=ab235268530, createdName=神盾医疗局局长Jack, createdTime=Wed Jul 22 10:07:26 CST 2020, time=2020-07-22, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=803842, encodeId=e89f803842e2, content=出发与临床,与大数据结合, beContent=null, objectType=article, channel=null, level=null, likeNumber=111, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=3fae4968216, createdName=lcy5465, createdTime=Wed Jul 22 08:57:08 CST 2020, time=2020-07-22, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=803824, encodeId=21c3803824da, content=初涓涓细流, beContent=null, objectType=article, channel=null, level=null, likeNumber=120, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20200720/956eb01f4b594ee783debae7a44d9096/e569cb8381764328b493c23491d86c27.jpg, createdBy=2cbc5401622, createdName=老婆子, createdTime=Wed Jul 22 08:33:25 CST 2020, time=2020-07-22, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=803809, encodeId=70d2803809ae, content=<a href='/topic/show?id=3a3a22925b7' target=_blank style='color:#2F92EE;'>#临床研究#</a>写的一般, beContent=null, objectType=article, channel=null, level=null, likeNumber=230, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=22925, encryptionId=3a3a22925b7, topicName=临床研究)], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20220519/c2ab253484ee4527a2d4e9589a4821ac/45de9bf494a54becb2ea4369c9d11e85.jpg, createdBy=7a3710, createdName=lovetcm, createdTime=Wed Jul 22 07:58:01 CST 2020, time=2020-07-22, status=1, ipAttribution=)]
    2020-07-22 13123c6d8dm

    学习

    0

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    2020-07-22 公卫新人

    新冠肺炎,疫情何时才能消失

    0

  4. [GetPortalCommentsPageByObjectIdResponse(id=902651, encodeId=a80e90265128, content=很好的话题, beContent=null, objectType=article, channel=null, level=null, likeNumber=89, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=21e21981035, createdName=gucan_cs, createdTime=Thu Nov 26 23:47:58 CST 2020, time=2020-11-26, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=803885, encodeId=51a680388561, content=学习, beContent=null, objectType=article, channel=null, level=null, likeNumber=106, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=a0692435677, createdName=13123c6d8dm, createdTime=Wed Jul 22 12:09:51 CST 2020, time=2020-07-22, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1028330, encodeId=782b1028330e5, content=新冠肺炎,疫情何时才能消失, beContent=null, objectType=article, channel=null, level=null, likeNumber=78, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=公卫新人, createdTime=Wed Jul 22 10:30:31 CST 2020, time=2020-07-22, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=803858, encodeId=cdb1803858da, content=冗长🌚, beContent=null, objectType=article, channel=null, level=null, likeNumber=122, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20200529/3611e9bb629c4e5b81fbd8ce784b06cc/128487eae357460bb98f67d86230c218.jpg, createdBy=ab235268530, createdName=神盾医疗局局长Jack, createdTime=Wed Jul 22 10:07:26 CST 2020, time=2020-07-22, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=803842, encodeId=e89f803842e2, content=出发与临床,与大数据结合, beContent=null, objectType=article, channel=null, level=null, likeNumber=111, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=3fae4968216, createdName=lcy5465, createdTime=Wed Jul 22 08:57:08 CST 2020, time=2020-07-22, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=803824, encodeId=21c3803824da, content=初涓涓细流, beContent=null, objectType=article, channel=null, level=null, likeNumber=120, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20200720/956eb01f4b594ee783debae7a44d9096/e569cb8381764328b493c23491d86c27.jpg, createdBy=2cbc5401622, createdName=老婆子, createdTime=Wed Jul 22 08:33:25 CST 2020, time=2020-07-22, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=803809, encodeId=70d2803809ae, content=<a href='/topic/show?id=3a3a22925b7' target=_blank style='color:#2F92EE;'>#临床研究#</a>写的一般, beContent=null, objectType=article, channel=null, level=null, likeNumber=230, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=22925, encryptionId=3a3a22925b7, topicName=临床研究)], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20220519/c2ab253484ee4527a2d4e9589a4821ac/45de9bf494a54becb2ea4369c9d11e85.jpg, createdBy=7a3710, createdName=lovetcm, createdTime=Wed Jul 22 07:58:01 CST 2020, time=2020-07-22, status=1, ipAttribution=)]
    2020-07-22 神盾医疗局局长Jack

    冗长🌚

    0

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    2020-07-22 lcy5465

    出发与临床,与大数据结合

    0

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    2020-07-22 老婆子

    初涓涓细流

    0

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    2020-07-22 lovetcm

    #临床研究#写的一般

    0

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