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Crit care:ARDS患者进行ECMO的死亡率预测模型比较!

2017-12-17 MedSci MedSci原创

体外膜肺氧合(ECMO)是挽救急性呼吸窘迫综合征(ARDS)患者生命的一种疗法,但其与并发症和花费成本相关。近期,一项发表在杂志Crit care上的研究验证了分数差异对预测死亡率和发展优化的分类模型。此项研究为推导队列研究,对108例静脉-静脉ECMO的ARDS患者(2010-2015)进行了回顾性分析,以评估对死亡率预测(受试者操作)的四个已建立的风险评分(ECMOnet评分,RESP评分,P

体外膜肺氧合(ECMO)是挽救急性呼吸窘迫综合征(ARDS)患者生命的一种疗法,但其与并发症和花费成本相关。近期,一项发表在杂志Crit care上的研究验证了分数差异对预测死亡率和发展优化的分类模型。此项研究为推导队列研究,对108例静脉-静脉ECMO的ARDS患者(2010-2015)进行了回顾性分析,以评估对死亡率预测(受试者操作)的四个已建立的风险评分(ECMOnet评分,RESP评分,PRESERVE评分,Roch评分),并通过多变量逻辑回归分析确定死亡率的自变量,以产生新的PRESET评分(PR生存对ECMO疗法的评分)。然后对这个新的分数进行独立的内部(82例)和外部(59例)队列验证。此项研究结果显示:序贯器官衰竭评估得分的中位数(25%; 75%四分位数)为14(12; 16),简易急性生理学得分II为62.5(57; 72.8),重症监护病房停留中位时间为17天(1-124),死亡率为62%。只有ECMOnet评分(曲线下面积(AUC)0.69)和RESP评分(AUC 0.64)可以区分幸存者和非幸存者。入院pHa、平均动脉压、乳酸、血小板浓度和前ECMO住院时间是

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    2018-07-30 zhangbaojun
  2. [GetPortalCommentsPageByObjectIdResponse(id=1755632, encodeId=c44b1e55632e9, content=<a href='/topic/show?id=85294906ef' target=_blank style='color:#2F92EE;'>#CMO#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=71, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=4906, encryptionId=85294906ef, topicName=CMO)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=5e4136982125, createdName=zhangbaojun, createdTime=Mon Jul 30 06:18:00 CST 2018, time=2018-07-30, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=2040235, encodeId=72db2040235e2, content=<a href='/topic/show?id=cb0b1520365' target=_blank style='color:#2F92EE;'>#RDS#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=65, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=15203, encryptionId=cb0b1520365, topicName=RDS)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=08e964, createdName=drwjr, createdTime=Tue Aug 07 10:18:00 CST 2018, time=2018-08-07, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=271529, encodeId=36442e1529fd, content=预测模型, beContent=null, objectType=article, channel=null, level=null, likeNumber=99, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=http://cdnapi.center.medsci.cn/medsci/head/2017/04/28/37a322fa6e8be63db9e493f1c35a800a.jpg, createdBy=e5461842402, createdName=llaq, createdTime=Fri Dec 22 12:48:55 CST 2017, time=2017-12-22, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=270534, encodeId=4f6f2e05344e, content=新理念, beContent=null, objectType=article, channel=null, level=null, likeNumber=96, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://wx.qlogo.cn/mmopen/vi_32/Q0j4TwGTfTLbp2rCaicYWQEk46A8KrHPEUOII3qyWvtWgSBn9X7kkiaCRoleayoBsgXpvDK01WvBVkJA1ZpjJP2Q/0, createdBy=9aba2224539, createdName=I see you, createdTime=Tue Dec 19 08:18:58 CST 2017, time=2017-12-19, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1262740, encodeId=12841262e405d, content=<a href='/topic/show?id=52941002359d' target=_blank style='color:#2F92EE;'>#预测模型#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=70, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=100235, encryptionId=52941002359d, topicName=预测模型)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=c3ff68, createdName=维他命, createdTime=Tue Dec 19 03:18:00 CST 2017, time=2017-12-19, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=270094, encodeId=2d6c2e009440, content=学习了.好文章, beContent=null, objectType=article, channel=null, level=null, likeNumber=89, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20220115/46bcf39c32de4aa6b45c5f9d66c8ee77/6cb4a20c55bb4b7691122f47747bfca2.jpg, createdBy=9dad1662329, createdName=1ddf0692m34(暂无匿称), createdTime=Sun Dec 17 13:22:06 CST 2017, time=2017-12-17, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=270086, encodeId=3f932e008695, content=学习了不少事情!!, beContent=null, objectType=article, channel=null, level=null, likeNumber=92, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://wx.qlogo.cn/mmopen/oLAjfB7s1ib06iaV3D9Tg5K4BGdu4COj6QWFqgMd3xnWDdgLZKUGI32veZvO2qFAQvpYr1eMbUOTqMvlZWc3MsugtFMHzxDwial/0, createdBy=88731939304, createdName=圣艮山, createdTime=Sun Dec 17 12:25:37 CST 2017, time=2017-12-17, status=1, ipAttribution=)]
    2018-08-07 drwjr
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    2017-12-22 llaq

    预测模型

    0

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    2017-12-19 I see you

    新理念

    0

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    2017-12-17 1ddf0692m34(暂无匿称)

    学习了.好文章

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    2017-12-17 圣艮山

    学习了不少事情!!

    0

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