Baidu
map

阿司匹林将新冠COVID-19感染患者的死亡风险降低47%

2020-10-23 MedSci原创 MedSci原创

与未服用阿司匹林的住院患者相比,服用阿司匹林的患者进重症监护病房(ICU)或连接机械呼吸机的比例大大降低。

美国马里兰大学医学院(UMSOM)的一项新研究表明,与不服用阿司匹林的患者相比,每天服用小剂量阿司匹林用来预防血管疾病的COVID-19住院患者的并发症和死亡风险显著降低。

Is Aspirin an NSAID?图片来源:www.healthline.com

与未服用阿司匹林的住院患者相比,服用阿司匹林的患者进入重症监护病房(ICU)或连接机械呼吸机的比例大大降低。

该研究共涉及412例平均55岁的COVID-19患者,这些患者由于感染并发症在过去几个月中住院治疗。约有四分之一的患者在入院前或入院后每天服用低剂量的阿司匹林(通常为81mg)以控制心血管疾病。

研究人员发现,与不服用阿司匹林的患者相比,服用阿司匹林的患者将使用机械呼吸机的风险降低了44%,ICU入院的风险降低了43%,在医院死亡的风险降低了47%。阿司匹林组的患者住院期间不良事件(例如大出血)发生率未明显增加。

图片来源:Aspirin Use is Associated with Decreased Mechanical Ventilation, ICU Admission, and In-Hospital Mortality in Hospitalized Patients with COVID-19. 2020. Anesthesia and Analgesia.

原始出处:

https://www.europeanpharmaceuticalreview.com/news/131047/aspirin-could-protect-patients-from-severe-covid-19-complications/

版权声明:
本网站所有内容来源注明为“梅斯医学”或“MedSci原创”的文字、图片和音视频资料,版权均属于梅斯医学所有。非经授权,任何媒体、网站或个人不得转载,授权转载时须注明来源为“梅斯医学”。其它来源的文章系转载文章,或“梅斯号”自媒体发布的文章,仅系出于传递更多信息之目的,本站仅负责审核内容合规,其内容不代表本站立场,本站不负责内容的准确性和版权。如果存在侵权、或不希望被转载的媒体或个人可与我们联系,我们将立即进行删除处理。
在此留言
评论区 (7)
#插入话题
  1. [GetPortalCommentsPageByObjectIdResponse(id=1820708, encodeId=c0e91820e086e, content=<a href='/topic/show?id=0c6a1009105e' target=_blank style='color:#2F92EE;'>#风险降低#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=82, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=100910, encryptionId=0c6a1009105e, topicName=风险降低)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=fd18451, createdName=xre2008, createdTime=Sat Jun 05 00:00:24 CST 2021, time=2021-06-05, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=918521, encodeId=d10d91852152, content=挺好的文章, beContent=null, objectType=article, channel=null, level=null, likeNumber=120, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://cdnapi.center.medsci.cn/medsci/head/2018/05/22/cf212d0635a520f0058edb541f6f6530.jpg, createdBy=c69d2362419, createdName=杨大仙, createdTime=Wed Jan 20 20:56:32 CST 2021, time=2021-01-20, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=900101, encodeId=62dc900101cc, content=<a href='/topic/show?id=51639e734cb' target=_blank style='color:#2F92EE;'>#阿司匹林#</a>将新冠<a href='/topic/show?id=f52851329b' target=_blank style='color:#2F92EE;'>#Covid-19#</a>感染患者的死亡风险降低47%,是<a href='/topic/show?id=9efb80281aa' target=_blank style='color:#2F92EE;'>#老药新用#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=244, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=97734, encryptionId=51639e734cb, topicName=阿司匹林), TopicDto(id=5132, encryptionId=f52851329b, topicName=Covid-19), TopicDto(id=80281, encryptionId=9efb80281aa, topicName=老药新用)], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20220519/c2ab253484ee4527a2d4e9589a4821ac/45de9bf494a54becb2ea4369c9d11e85.jpg, createdBy=7a3710, createdName=lovetcm, createdTime=Wed Nov 18 09:43:39 CST 2020, time=2020-11-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=894752, encodeId=ffed894e52f7, content=与不服用阿司匹林的患者相比,服用阿司匹林的患者将使用机械呼吸机的风险降低了44%,ICU入院的风险降低了43%,在医院死亡的风险降低了47%。, beContent=null, objectType=article, channel=null, level=null, likeNumber=148, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=ae205385871, createdName=Lexi, createdTime=Tue Oct 27 10:47:19 CST 2020, time=2020-10-27, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1256027, encodeId=1d45125602e38, content=<a href='/topic/show?id=587f6339050' target=_blank style='color:#2F92EE;'>#死亡风险#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=98, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=63390, encryptionId=587f6339050, topicName=死亡风险)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=74808, createdName=quxin068, createdTime=Sun Oct 25 14:00:24 CST 2020, time=2020-10-25, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1028688, encodeId=44df1028688ed, content=新冠肺炎,疫情何时才能消失, beContent=null, objectType=article, channel=null, level=null, likeNumber=146, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=公卫新人, createdTime=Sat Oct 24 02:00:24 CST 2020, time=2020-10-24, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=894036, encodeId=62da89403603, content=<a href='/topic/show?id=51639e734cb' target=_blank style='color:#2F92EE;'>#阿司匹林#</a>神药传奇, beContent=null, objectType=article, channel=null, level=null, likeNumber=244, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=97734, encryptionId=51639e734cb, topicName=阿司匹林)], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20220519/c2ab253484ee4527a2d4e9589a4821ac/45de9bf494a54becb2ea4369c9d11e85.jpg, createdBy=7a3710, createdName=lovetcm, createdTime=Fri Oct 23 23:23:36 CST 2020, time=2020-10-23, status=1, ipAttribution=)]
  2. [GetPortalCommentsPageByObjectIdResponse(id=1820708, encodeId=c0e91820e086e, content=<a href='/topic/show?id=0c6a1009105e' target=_blank style='color:#2F92EE;'>#风险降低#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=82, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=100910, encryptionId=0c6a1009105e, topicName=风险降低)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=fd18451, createdName=xre2008, createdTime=Sat Jun 05 00:00:24 CST 2021, time=2021-06-05, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=918521, encodeId=d10d91852152, content=挺好的文章, beContent=null, objectType=article, channel=null, level=null, likeNumber=120, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://cdnapi.center.medsci.cn/medsci/head/2018/05/22/cf212d0635a520f0058edb541f6f6530.jpg, createdBy=c69d2362419, createdName=杨大仙, createdTime=Wed Jan 20 20:56:32 CST 2021, time=2021-01-20, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=900101, encodeId=62dc900101cc, content=<a href='/topic/show?id=51639e734cb' target=_blank style='color:#2F92EE;'>#阿司匹林#</a>将新冠<a href='/topic/show?id=f52851329b' target=_blank style='color:#2F92EE;'>#Covid-19#</a>感染患者的死亡风险降低47%,是<a href='/topic/show?id=9efb80281aa' target=_blank style='color:#2F92EE;'>#老药新用#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=244, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=97734, encryptionId=51639e734cb, topicName=阿司匹林), TopicDto(id=5132, encryptionId=f52851329b, topicName=Covid-19), TopicDto(id=80281, encryptionId=9efb80281aa, topicName=老药新用)], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20220519/c2ab253484ee4527a2d4e9589a4821ac/45de9bf494a54becb2ea4369c9d11e85.jpg, createdBy=7a3710, createdName=lovetcm, createdTime=Wed Nov 18 09:43:39 CST 2020, time=2020-11-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=894752, encodeId=ffed894e52f7, content=与不服用阿司匹林的患者相比,服用阿司匹林的患者将使用机械呼吸机的风险降低了44%,ICU入院的风险降低了43%,在医院死亡的风险降低了47%。, beContent=null, objectType=article, channel=null, level=null, likeNumber=148, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=ae205385871, createdName=Lexi, createdTime=Tue Oct 27 10:47:19 CST 2020, time=2020-10-27, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1256027, encodeId=1d45125602e38, content=<a href='/topic/show?id=587f6339050' target=_blank style='color:#2F92EE;'>#死亡风险#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=98, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=63390, encryptionId=587f6339050, topicName=死亡风险)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=74808, createdName=quxin068, createdTime=Sun Oct 25 14:00:24 CST 2020, time=2020-10-25, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1028688, encodeId=44df1028688ed, content=新冠肺炎,疫情何时才能消失, beContent=null, objectType=article, channel=null, level=null, likeNumber=146, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=公卫新人, createdTime=Sat Oct 24 02:00:24 CST 2020, time=2020-10-24, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=894036, encodeId=62da89403603, content=<a href='/topic/show?id=51639e734cb' target=_blank style='color:#2F92EE;'>#阿司匹林#</a>神药传奇, beContent=null, objectType=article, channel=null, level=null, likeNumber=244, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=97734, encryptionId=51639e734cb, topicName=阿司匹林)], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20220519/c2ab253484ee4527a2d4e9589a4821ac/45de9bf494a54becb2ea4369c9d11e85.jpg, createdBy=7a3710, createdName=lovetcm, createdTime=Fri Oct 23 23:23:36 CST 2020, time=2020-10-23, status=1, ipAttribution=)]
    2021-01-20 杨大仙

    挺好的文章

    0

  3. [GetPortalCommentsPageByObjectIdResponse(id=1820708, encodeId=c0e91820e086e, content=<a href='/topic/show?id=0c6a1009105e' target=_blank style='color:#2F92EE;'>#风险降低#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=82, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=100910, encryptionId=0c6a1009105e, topicName=风险降低)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=fd18451, createdName=xre2008, createdTime=Sat Jun 05 00:00:24 CST 2021, time=2021-06-05, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=918521, encodeId=d10d91852152, content=挺好的文章, beContent=null, objectType=article, channel=null, level=null, likeNumber=120, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://cdnapi.center.medsci.cn/medsci/head/2018/05/22/cf212d0635a520f0058edb541f6f6530.jpg, createdBy=c69d2362419, createdName=杨大仙, createdTime=Wed Jan 20 20:56:32 CST 2021, time=2021-01-20, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=900101, encodeId=62dc900101cc, content=<a href='/topic/show?id=51639e734cb' target=_blank style='color:#2F92EE;'>#阿司匹林#</a>将新冠<a href='/topic/show?id=f52851329b' target=_blank style='color:#2F92EE;'>#Covid-19#</a>感染患者的死亡风险降低47%,是<a href='/topic/show?id=9efb80281aa' target=_blank style='color:#2F92EE;'>#老药新用#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=244, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=97734, encryptionId=51639e734cb, topicName=阿司匹林), TopicDto(id=5132, encryptionId=f52851329b, topicName=Covid-19), TopicDto(id=80281, encryptionId=9efb80281aa, topicName=老药新用)], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20220519/c2ab253484ee4527a2d4e9589a4821ac/45de9bf494a54becb2ea4369c9d11e85.jpg, createdBy=7a3710, createdName=lovetcm, createdTime=Wed Nov 18 09:43:39 CST 2020, time=2020-11-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=894752, encodeId=ffed894e52f7, content=与不服用阿司匹林的患者相比,服用阿司匹林的患者将使用机械呼吸机的风险降低了44%,ICU入院的风险降低了43%,在医院死亡的风险降低了47%。, beContent=null, objectType=article, channel=null, level=null, likeNumber=148, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=ae205385871, createdName=Lexi, createdTime=Tue Oct 27 10:47:19 CST 2020, time=2020-10-27, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1256027, encodeId=1d45125602e38, content=<a href='/topic/show?id=587f6339050' target=_blank style='color:#2F92EE;'>#死亡风险#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=98, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=63390, encryptionId=587f6339050, topicName=死亡风险)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=74808, createdName=quxin068, createdTime=Sun Oct 25 14:00:24 CST 2020, time=2020-10-25, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1028688, encodeId=44df1028688ed, content=新冠肺炎,疫情何时才能消失, beContent=null, objectType=article, channel=null, level=null, likeNumber=146, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=公卫新人, createdTime=Sat Oct 24 02:00:24 CST 2020, time=2020-10-24, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=894036, encodeId=62da89403603, content=<a href='/topic/show?id=51639e734cb' target=_blank style='color:#2F92EE;'>#阿司匹林#</a>神药传奇, beContent=null, objectType=article, channel=null, level=null, likeNumber=244, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=97734, encryptionId=51639e734cb, topicName=阿司匹林)], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20220519/c2ab253484ee4527a2d4e9589a4821ac/45de9bf494a54becb2ea4369c9d11e85.jpg, createdBy=7a3710, createdName=lovetcm, createdTime=Fri Oct 23 23:23:36 CST 2020, time=2020-10-23, status=1, ipAttribution=)]
    2020-11-18 lovetcm

    #阿司匹林#将新冠#Covid-19#感染患者的死亡风险降低47%,是#老药新用#

    0

  4. [GetPortalCommentsPageByObjectIdResponse(id=1820708, encodeId=c0e91820e086e, content=<a href='/topic/show?id=0c6a1009105e' target=_blank style='color:#2F92EE;'>#风险降低#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=82, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=100910, encryptionId=0c6a1009105e, topicName=风险降低)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=fd18451, createdName=xre2008, createdTime=Sat Jun 05 00:00:24 CST 2021, time=2021-06-05, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=918521, encodeId=d10d91852152, content=挺好的文章, beContent=null, objectType=article, channel=null, level=null, likeNumber=120, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://cdnapi.center.medsci.cn/medsci/head/2018/05/22/cf212d0635a520f0058edb541f6f6530.jpg, createdBy=c69d2362419, createdName=杨大仙, createdTime=Wed Jan 20 20:56:32 CST 2021, time=2021-01-20, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=900101, encodeId=62dc900101cc, content=<a href='/topic/show?id=51639e734cb' target=_blank style='color:#2F92EE;'>#阿司匹林#</a>将新冠<a href='/topic/show?id=f52851329b' target=_blank style='color:#2F92EE;'>#Covid-19#</a>感染患者的死亡风险降低47%,是<a href='/topic/show?id=9efb80281aa' target=_blank style='color:#2F92EE;'>#老药新用#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=244, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=97734, encryptionId=51639e734cb, topicName=阿司匹林), TopicDto(id=5132, encryptionId=f52851329b, topicName=Covid-19), TopicDto(id=80281, encryptionId=9efb80281aa, topicName=老药新用)], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20220519/c2ab253484ee4527a2d4e9589a4821ac/45de9bf494a54becb2ea4369c9d11e85.jpg, createdBy=7a3710, createdName=lovetcm, createdTime=Wed Nov 18 09:43:39 CST 2020, time=2020-11-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=894752, encodeId=ffed894e52f7, content=与不服用阿司匹林的患者相比,服用阿司匹林的患者将使用机械呼吸机的风险降低了44%,ICU入院的风险降低了43%,在医院死亡的风险降低了47%。, beContent=null, objectType=article, channel=null, level=null, likeNumber=148, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=ae205385871, createdName=Lexi, createdTime=Tue Oct 27 10:47:19 CST 2020, time=2020-10-27, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1256027, encodeId=1d45125602e38, content=<a href='/topic/show?id=587f6339050' target=_blank style='color:#2F92EE;'>#死亡风险#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=98, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=63390, encryptionId=587f6339050, topicName=死亡风险)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=74808, createdName=quxin068, createdTime=Sun Oct 25 14:00:24 CST 2020, time=2020-10-25, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1028688, encodeId=44df1028688ed, content=新冠肺炎,疫情何时才能消失, beContent=null, objectType=article, channel=null, level=null, likeNumber=146, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=公卫新人, createdTime=Sat Oct 24 02:00:24 CST 2020, time=2020-10-24, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=894036, encodeId=62da89403603, content=<a href='/topic/show?id=51639e734cb' target=_blank style='color:#2F92EE;'>#阿司匹林#</a>神药传奇, beContent=null, objectType=article, channel=null, level=null, likeNumber=244, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=97734, encryptionId=51639e734cb, topicName=阿司匹林)], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20220519/c2ab253484ee4527a2d4e9589a4821ac/45de9bf494a54becb2ea4369c9d11e85.jpg, createdBy=7a3710, createdName=lovetcm, createdTime=Fri Oct 23 23:23:36 CST 2020, time=2020-10-23, status=1, ipAttribution=)]
    2020-10-27 Lexi

    与不服用阿司匹林的患者相比,服用阿司匹林的患者将使用机械呼吸机的风险降低了44%,ICU入院的风险降低了43%,在医院死亡的风险降低了47%。

    0

  5. [GetPortalCommentsPageByObjectIdResponse(id=1820708, encodeId=c0e91820e086e, content=<a href='/topic/show?id=0c6a1009105e' target=_blank style='color:#2F92EE;'>#风险降低#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=82, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=100910, encryptionId=0c6a1009105e, topicName=风险降低)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=fd18451, createdName=xre2008, createdTime=Sat Jun 05 00:00:24 CST 2021, time=2021-06-05, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=918521, encodeId=d10d91852152, content=挺好的文章, beContent=null, objectType=article, channel=null, level=null, likeNumber=120, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://cdnapi.center.medsci.cn/medsci/head/2018/05/22/cf212d0635a520f0058edb541f6f6530.jpg, createdBy=c69d2362419, createdName=杨大仙, createdTime=Wed Jan 20 20:56:32 CST 2021, time=2021-01-20, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=900101, encodeId=62dc900101cc, content=<a href='/topic/show?id=51639e734cb' target=_blank style='color:#2F92EE;'>#阿司匹林#</a>将新冠<a href='/topic/show?id=f52851329b' target=_blank style='color:#2F92EE;'>#Covid-19#</a>感染患者的死亡风险降低47%,是<a href='/topic/show?id=9efb80281aa' target=_blank style='color:#2F92EE;'>#老药新用#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=244, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=97734, encryptionId=51639e734cb, topicName=阿司匹林), TopicDto(id=5132, encryptionId=f52851329b, topicName=Covid-19), TopicDto(id=80281, encryptionId=9efb80281aa, topicName=老药新用)], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20220519/c2ab253484ee4527a2d4e9589a4821ac/45de9bf494a54becb2ea4369c9d11e85.jpg, createdBy=7a3710, createdName=lovetcm, createdTime=Wed Nov 18 09:43:39 CST 2020, time=2020-11-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=894752, encodeId=ffed894e52f7, content=与不服用阿司匹林的患者相比,服用阿司匹林的患者将使用机械呼吸机的风险降低了44%,ICU入院的风险降低了43%,在医院死亡的风险降低了47%。, beContent=null, objectType=article, channel=null, level=null, likeNumber=148, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=ae205385871, createdName=Lexi, createdTime=Tue Oct 27 10:47:19 CST 2020, time=2020-10-27, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1256027, encodeId=1d45125602e38, content=<a href='/topic/show?id=587f6339050' target=_blank style='color:#2F92EE;'>#死亡风险#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=98, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=63390, encryptionId=587f6339050, topicName=死亡风险)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=74808, createdName=quxin068, createdTime=Sun Oct 25 14:00:24 CST 2020, time=2020-10-25, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1028688, encodeId=44df1028688ed, content=新冠肺炎,疫情何时才能消失, beContent=null, objectType=article, channel=null, level=null, likeNumber=146, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=公卫新人, createdTime=Sat Oct 24 02:00:24 CST 2020, time=2020-10-24, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=894036, encodeId=62da89403603, content=<a href='/topic/show?id=51639e734cb' target=_blank style='color:#2F92EE;'>#阿司匹林#</a>神药传奇, beContent=null, objectType=article, channel=null, level=null, likeNumber=244, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=97734, encryptionId=51639e734cb, topicName=阿司匹林)], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20220519/c2ab253484ee4527a2d4e9589a4821ac/45de9bf494a54becb2ea4369c9d11e85.jpg, createdBy=7a3710, createdName=lovetcm, createdTime=Fri Oct 23 23:23:36 CST 2020, time=2020-10-23, status=1, ipAttribution=)]
  6. [GetPortalCommentsPageByObjectIdResponse(id=1820708, encodeId=c0e91820e086e, content=<a href='/topic/show?id=0c6a1009105e' target=_blank style='color:#2F92EE;'>#风险降低#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=82, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=100910, encryptionId=0c6a1009105e, topicName=风险降低)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=fd18451, createdName=xre2008, createdTime=Sat Jun 05 00:00:24 CST 2021, time=2021-06-05, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=918521, encodeId=d10d91852152, content=挺好的文章, beContent=null, objectType=article, channel=null, level=null, likeNumber=120, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://cdnapi.center.medsci.cn/medsci/head/2018/05/22/cf212d0635a520f0058edb541f6f6530.jpg, createdBy=c69d2362419, createdName=杨大仙, createdTime=Wed Jan 20 20:56:32 CST 2021, time=2021-01-20, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=900101, encodeId=62dc900101cc, content=<a href='/topic/show?id=51639e734cb' target=_blank style='color:#2F92EE;'>#阿司匹林#</a>将新冠<a href='/topic/show?id=f52851329b' target=_blank style='color:#2F92EE;'>#Covid-19#</a>感染患者的死亡风险降低47%,是<a href='/topic/show?id=9efb80281aa' target=_blank style='color:#2F92EE;'>#老药新用#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=244, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=97734, encryptionId=51639e734cb, topicName=阿司匹林), TopicDto(id=5132, encryptionId=f52851329b, topicName=Covid-19), TopicDto(id=80281, encryptionId=9efb80281aa, topicName=老药新用)], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20220519/c2ab253484ee4527a2d4e9589a4821ac/45de9bf494a54becb2ea4369c9d11e85.jpg, createdBy=7a3710, createdName=lovetcm, createdTime=Wed Nov 18 09:43:39 CST 2020, time=2020-11-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=894752, encodeId=ffed894e52f7, content=与不服用阿司匹林的患者相比,服用阿司匹林的患者将使用机械呼吸机的风险降低了44%,ICU入院的风险降低了43%,在医院死亡的风险降低了47%。, beContent=null, objectType=article, channel=null, level=null, likeNumber=148, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=ae205385871, createdName=Lexi, createdTime=Tue Oct 27 10:47:19 CST 2020, time=2020-10-27, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1256027, encodeId=1d45125602e38, content=<a href='/topic/show?id=587f6339050' target=_blank style='color:#2F92EE;'>#死亡风险#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=98, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=63390, encryptionId=587f6339050, topicName=死亡风险)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=74808, createdName=quxin068, createdTime=Sun Oct 25 14:00:24 CST 2020, time=2020-10-25, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1028688, encodeId=44df1028688ed, content=新冠肺炎,疫情何时才能消失, beContent=null, objectType=article, channel=null, level=null, likeNumber=146, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=公卫新人, createdTime=Sat Oct 24 02:00:24 CST 2020, time=2020-10-24, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=894036, encodeId=62da89403603, content=<a href='/topic/show?id=51639e734cb' target=_blank style='color:#2F92EE;'>#阿司匹林#</a>神药传奇, beContent=null, objectType=article, channel=null, level=null, likeNumber=244, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=97734, encryptionId=51639e734cb, topicName=阿司匹林)], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20220519/c2ab253484ee4527a2d4e9589a4821ac/45de9bf494a54becb2ea4369c9d11e85.jpg, createdBy=7a3710, createdName=lovetcm, createdTime=Fri Oct 23 23:23:36 CST 2020, time=2020-10-23, status=1, ipAttribution=)]
    2020-10-24 公卫新人

    新冠肺炎,疫情何时才能消失

    0

  7. [GetPortalCommentsPageByObjectIdResponse(id=1820708, encodeId=c0e91820e086e, content=<a href='/topic/show?id=0c6a1009105e' target=_blank style='color:#2F92EE;'>#风险降低#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=82, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=100910, encryptionId=0c6a1009105e, topicName=风险降低)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=fd18451, createdName=xre2008, createdTime=Sat Jun 05 00:00:24 CST 2021, time=2021-06-05, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=918521, encodeId=d10d91852152, content=挺好的文章, beContent=null, objectType=article, channel=null, level=null, likeNumber=120, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://cdnapi.center.medsci.cn/medsci/head/2018/05/22/cf212d0635a520f0058edb541f6f6530.jpg, createdBy=c69d2362419, createdName=杨大仙, createdTime=Wed Jan 20 20:56:32 CST 2021, time=2021-01-20, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=900101, encodeId=62dc900101cc, content=<a href='/topic/show?id=51639e734cb' target=_blank style='color:#2F92EE;'>#阿司匹林#</a>将新冠<a href='/topic/show?id=f52851329b' target=_blank style='color:#2F92EE;'>#Covid-19#</a>感染患者的死亡风险降低47%,是<a href='/topic/show?id=9efb80281aa' target=_blank style='color:#2F92EE;'>#老药新用#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=244, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=97734, encryptionId=51639e734cb, topicName=阿司匹林), TopicDto(id=5132, encryptionId=f52851329b, topicName=Covid-19), TopicDto(id=80281, encryptionId=9efb80281aa, topicName=老药新用)], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20220519/c2ab253484ee4527a2d4e9589a4821ac/45de9bf494a54becb2ea4369c9d11e85.jpg, createdBy=7a3710, createdName=lovetcm, createdTime=Wed Nov 18 09:43:39 CST 2020, time=2020-11-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=894752, encodeId=ffed894e52f7, content=与不服用阿司匹林的患者相比,服用阿司匹林的患者将使用机械呼吸机的风险降低了44%,ICU入院的风险降低了43%,在医院死亡的风险降低了47%。, beContent=null, objectType=article, channel=null, level=null, likeNumber=148, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=ae205385871, createdName=Lexi, createdTime=Tue Oct 27 10:47:19 CST 2020, time=2020-10-27, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1256027, encodeId=1d45125602e38, content=<a href='/topic/show?id=587f6339050' target=_blank style='color:#2F92EE;'>#死亡风险#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=98, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=63390, encryptionId=587f6339050, topicName=死亡风险)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=74808, createdName=quxin068, createdTime=Sun Oct 25 14:00:24 CST 2020, time=2020-10-25, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1028688, encodeId=44df1028688ed, content=新冠肺炎,疫情何时才能消失, beContent=null, objectType=article, channel=null, level=null, likeNumber=146, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=公卫新人, createdTime=Sat Oct 24 02:00:24 CST 2020, time=2020-10-24, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=894036, encodeId=62da89403603, content=<a href='/topic/show?id=51639e734cb' target=_blank style='color:#2F92EE;'>#阿司匹林#</a>神药传奇, beContent=null, objectType=article, channel=null, level=null, likeNumber=244, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=97734, encryptionId=51639e734cb, topicName=阿司匹林)], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20220519/c2ab253484ee4527a2d4e9589a4821ac/45de9bf494a54becb2ea4369c9d11e85.jpg, createdBy=7a3710, createdName=lovetcm, createdTime=Fri Oct 23 23:23:36 CST 2020, time=2020-10-23, status=1, ipAttribution=)]
    2020-10-23 lovetcm

    #阿司匹林#神药传奇

    0

相关资讯

GUT:阿司匹林会大大增加老年人胃肠道出血的风险

阿司匹林是心内科医生最常用的一种药物,因为阿司匹林是心血管疾病最基础的用药,是基石!那自然我们遇到的阿司匹林导致的副作用也是最常见。

Neurology:阿司匹林对卒中和小动脉瘤破裂患者的安全性分析

阿司匹林对于伴有小UIA和ICD的患者是一种安全的治疗方法。高危组中未服用阿司匹林的患者应进行加强监护。

Lancet Respirat Med:阿司匹林对健康老年人败血症相关死亡的影响

败血症是一个严重的全球性健康问题,是导致死亡和残疾的主要原因。提供一种简单的、基于社区的预防策略可以大大减少败血症的负担。本研究(ANTISEPSIS)旨在确定低剂量阿司匹林是否可以减少老年人败血症相

JNCI:惊!“神药”阿司匹林会加速老年人晚期癌症的进展,增加死亡风险

阿司匹林被称为“神药”,它除了能够镇痛抗炎之外,还在预防心血管疾病和各种癌症中发挥重要作用。100多年来,阿司匹林的疗效是有目共睹的,然而,近日发表在《国家癌症研究所杂志》上的一项研究对此提出了质疑。

Circulation:峰回路转!有效降低双重抗血小板疗法出血风险的新策略

阿司匹林和P2Y12抑制剂的双重抗血小板疗法已被证实可降低PCI或急性冠脉综合征后的MACE风险,但同时会增加出血风险。本研究旨在评估停用阿司匹林而采用P2Y12抑制剂单一疗法的安全性。

JTO:阿司匹林、他汀类药物和二甲双胍与肺癌风险和相关死亡率的关系

本研究的目的是使用基于人群的全国队列数据研究阿司匹林,二甲双胍和他汀类药物与肺癌风险和死亡率的关系。

Baidu
map
Baidu
map
Baidu
map