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JAMA:氟伏沙明有助于降低新冠肺炎轻症患者临床恶化风险

2020-11-17 MedSci原创 MedSci原创

对于接受门诊治疗的轻症新冠肺炎患者,接受氟伏沙明治疗可有助于降低患者15天内临床恶化风险,但仍需进行更大规模的研究以确定氟伏沙明预防新冠肺炎患者恶化的临床疗效

部分2019年冠状病毒病(COVID-19)患者由于过度的免疫反应而导致严重并发症。氟伏沙明(Fluvoxamine)是一种选择性的5-羟色胺再摄取抑制剂(SSRI),主要用于强迫症患者。在脓毒症小鼠模型中,氟伏沙明可减少炎症损伤。近日研究人员考察了其对新冠肺炎轻症患者预防临床恶化和减轻病情严重程度的作用。
 
本次研究为安慰剂对照、双盲、随机、完全远程(非接触)临床试验,未住院的成年严重急性呼吸综合征冠状病毒2型感染患者参与,患者在7天内出现COVID-19症状,血氧饱和度为92%或更高,随机接受100mg氟伏沙明(n=80)或安慰剂(n=72),每天3次,连续15天。研究的主要结果是在随机化15天内临床恶化,符合以下两个标准:(1)呼吸急促或住院治疗呼吸急促或肺炎;(2)室内空气条件下血氧饱和度低于92%,或需要吸氧以达到92%或更高的氧饱和度。
 
152名患者参与研究,平均年龄46岁,72%为女性,115名(76%)完成了试验。氟伏沙明组80例患者中有无一出现临床恶化,安慰剂组72例患者中有6例出现临床恶化(绝对差异为8.7%)。氟伏沙明组有1例严重不良事件和11例其他不良事件,而安慰剂组有6例严重不良事件和12例其他不良事件。
 
研究认为,对于接受门诊治疗的轻症新冠肺炎患者,接受氟伏沙明治疗可有助于降低患者15天内临床恶化风险,但仍需进行更大规模的研究以确定氟伏沙明预防新冠肺炎患者恶化的临床疗效。
 
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    2020-11-19 1209e435m98(暂无昵称)

    学习了,谢谢分享

    0

  3. 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    2020-11-18 Jessica

    #氟伏沙明#治疗可有助于降低新冠肺炎患者15天内临床恶化风险

    0

  4. 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    2020-11-18 lovetcm

    #氟伏沙明#象这样的#老药新用#,值得深入研究,有很多抗精神病药物可能治疗肿瘤,降压药物可能治疗糖尿病!

    0

  5. 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  6. 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    2020-11-17 公卫新人

    新冠肺炎,疫情何时才能消失

    0

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createdAvatar=https://img.medsci.cn/20220519/c2ab253484ee4527a2d4e9589a4821ac/45de9bf494a54becb2ea4369c9d11e85.jpg, createdBy=7a3710, createdName=lovetcm, createdTime=Wed Nov 18 09:33:08 CST 2020, time=2020-11-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1028791, encodeId=49da1028e91f7, content=新冠肺炎,疫情何时才能消失, beContent=null, objectType=article, channel=null, level=null, likeNumber=84, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=公卫新人, createdTime=Tue Nov 17 23:39:54 CST 2020, time=2020-11-17, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1036348, encodeId=914e1036348df, content=顶刊就是顶刊,谢谢梅斯带来这么高水平的研究报道,我们科里同事经常看梅斯,分享梅斯上的信息, beContent=null, objectType=article, channel=null, level=null, likeNumber=64, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=旺医, createdTime=Tue Nov 17 23:39:54 CST 2020, time=2020-11-17, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=900036, encodeId=cb689000360a, content=<a href='/topic/show?id=9efb80281aa' target=_blank style='color:#2F92EE;'>#老药新用#</a>用于<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=181, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=80281, encryptionId=9efb80281aa, topicName=老药新用), 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=Tue Nov 17 23:25:28 CST 2020, time=2020-11-17, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=899993, encodeId=242a899993db, content=好, beContent=null, objectType=article, channel=null, level=null, likeNumber=52, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=http://thirdwx.qlogo.cn/mmopen/vi_32/5PCMEThTo8wLlXElHZq6rFfX97zAicxvOjO1SIXZAe2R4QKnwoFS6DbvaJDTrlYUFcLoKelcyuQQE8KfJfynA5Q/132, createdBy=37642460415, createdName=Suee, createdTime=Tue Nov 17 20:54:14 CST 2020, time=2020-11-17, status=1, ipAttribution=)]
    2020-11-17 旺医

    顶刊就是顶刊,谢谢梅斯带来这么高水平的研究报道,我们科里同事经常看梅斯,分享梅斯上的信息

    0

  8. 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createdAvatar=https://img.medsci.cn/20220519/c2ab253484ee4527a2d4e9589a4821ac/45de9bf494a54becb2ea4369c9d11e85.jpg, createdBy=7a3710, createdName=lovetcm, createdTime=Wed Nov 18 09:33:08 CST 2020, time=2020-11-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1028791, encodeId=49da1028e91f7, content=新冠肺炎,疫情何时才能消失, beContent=null, objectType=article, channel=null, level=null, likeNumber=84, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=公卫新人, createdTime=Tue Nov 17 23:39:54 CST 2020, time=2020-11-17, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1036348, encodeId=914e1036348df, content=顶刊就是顶刊,谢谢梅斯带来这么高水平的研究报道,我们科里同事经常看梅斯,分享梅斯上的信息, beContent=null, objectType=article, channel=null, level=null, likeNumber=64, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, 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  9. 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    2020-11-17 Suee

    0

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