Stroke:PASS量表可预测大动脉闭塞性缺血性卒中

2016-06-30 phylis 译 MedSci原创

背景:研究者设计并验证一个简单的院前卒中量表识别紧急大血管闭塞(ELVO)性缺血性脑卒中,并且与其他已经发表的预测ELVO的量表进行比较。方法:国家历史测试队列中的3127例患者,确认再灌注治疗前颅内血管状态(血管造影)。美国国立卫生院卒中量表(NIHSS)是预测颅内大动脉闭塞价值最高量表,确定院前符合预定标准的最优组合是可行的。比较院前急性卒中严重程度(PASS)量表和ELVO其他已发表的量表的

背景:研究者设计并验证一个简单的院前卒中量表识别紧急大血管闭塞(ELVO)性缺血性脑卒中,并且与其他已经发表的预测ELVO的量表进行比较。

方法:国家历史测试队列中的3127例患者,确认再灌注治疗前颅内血管状态(血管造影)。美国国立卫生院卒中量表(NIHSS)是预测颅内大动脉闭塞价值最高量表,确定院前符合预定标准的最优组合是可行的。比较院前急性卒中严重程度(PASS)量表和ELVO其他已发表的量表的预测性能。

结果:PASS量表包括3 NIHSS评分:意识水平(月/年龄)、凝视麻痹/偏差及手臂无力。应用2 / 3的测试队列推导PASS,并且检测大动脉闭塞准确度为(ROC)0.76。最佳界值点≥2异常评分显示:敏感性为0.66(95% CI,0.62-0.69),特异性为0.83(0.81-0.85),和曲线下面积(0.72-0.76)= 0.74。1 / 3的测试队列进行验证显示出类似的性能。PASS≥2且血管造影大动脉闭塞患者的NIHSS评分中位数为17(四分位间距= 6),而PASS<2的NHISS评分的中位数为6(四分位数间距= 5)。与其他量表相比,PASS量表显示出相似的性能,但PASS量表更简单。

结论:PASS量表较为简单,并且能够准确预测ELVO。

原始出处:

Hastrup S, Damgaard D, et al. Prehospital Acute Stroke Severity Scale to Predict Large Artery Occlusion: Design and Comparison With Other Scales. Stroke. 2016 Jun 7.


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    2016-10-11 ylzr123

    赞了,认真探究、学习。

    0

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  7. [GetPortalCommentsPageByObjectIdResponse(id=2022182, encodeId=64962022182f5, content=<a href='/topic/show?id=cbec3334967' target=_blank style='color:#2F92EE;'>#动脉闭塞#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=22, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=33349, encryptionId=cbec3334967, topicName=动脉闭塞)], attachment=null, authenticateStatus=null, createdAvatar=http://thirdqq.qlogo.cn/qqapp/101296147/017ED6AFEB45F49165298113DDC0656A/100, createdBy=84182500174, createdName=ms7019579240139182, createdTime=Tue Nov 22 00:26:00 CST 2016, time=2016-11-22, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1806091, encodeId=d62418060913e, content=<a href='/topic/show?id=b649e9358fa' target=_blank style='color:#2F92EE;'>#缺血性卒#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=30, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=79358, encryptionId=b649e9358fa, topicName=缺血性卒)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=636e2500187, createdName=12498da4m32(暂无昵称), createdTime=Tue May 30 17:26:00 CST 2017, time=2017-05-30, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=145984, encodeId=4553145984fb, content=赞了,认真探究、学习。, beContent=null, objectType=article, channel=null, level=null, likeNumber=57, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://wx.qlogo.cn/mmopen/NUyjXTCJjo7s7ZCKOmmbBTD6nE7gcd5OZpvyGEzkxBP3S275k5ZJVrsPkotZhBglRHM9rKvcj1OgkssqhcnoPw8zIaMZTF8c/0, createdBy=4c441942088, createdName=ylzr123, createdTime=Tue Oct 11 22:30:46 CST 2016, time=2016-10-11, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1892767, encodeId=d58b1892e6788, content=<a href='/topic/show?id=c738e93521f' target=_blank style='color:#2F92EE;'>#缺血性#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=25, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=79352, encryptionId=c738e93521f, topicName=缺血性)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=66ec123, createdName=guihongzh, createdTime=Fri Jul 08 00:26:00 CST 2016, time=2016-07-08, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1634420, encodeId=9a1616344202b, content=<a href='/topic/show?id=feb443629bf' target=_blank style='color:#2F92EE;'>#大动脉闭塞#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=27, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=43629, encryptionId=feb443629bf, topicName=大动脉闭塞)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=54ae22169702, createdName=liuyg0235, createdTime=Sat May 06 05:26:00 CST 2017, time=2017-05-06, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1940198, encodeId=c77e1940198be, content=<a href='/topic/show?id=be4313e8100' target=_blank style='color:#2F92EE;'>#PASS量表#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=29, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=13781, encryptionId=be4313e8100, topicName=PASS量表)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=6a6043, createdName=guoyibin, createdTime=Mon Feb 13 16:26:00 CST 2017, time=2017-02-13, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=91892, encodeId=4c5f9189290, content=有意思, beContent=null, objectType=article, channel=null, level=null, likeNumber=92, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=d0f31631005, createdName=保守主义, createdTime=Mon Jul 04 19:01:00 CST 2016, time=2016-07-04, status=1, ipAttribution=)]
    2016-07-04 保守主义

    有意思

    0