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Stroke:量化术后神经系统并发症风险的新方法

2016-02-15 崔倩 译 MedSci原创

手术相关的神经系统并发症在未破裂颅内动脉瘤的血管内治疗后很常见。该研究的目的是制定一个分数来量化个别患者的风险。研究人员回顾性分析了在2012年1月和2015年9月之间进行血管内治疗未破裂颅内动脉瘤的患者。该研究不包括那些谁失去了跟进和那些未破裂梭形动脉瘤的患者,但包括那些被随机分为推导组(60%)和验证组(40%)的患者。神经并发症被定义为动脉瘤栓塞后的任何暂时性或永久性的增加改良Rankin量

手术相关的神经系统并发症在未破裂颅内动脉瘤的血管内治疗后很常见。该研究的目的是制定一个分数来量化个别患者的风险。

研究人员回顾性分析了在2012年1月和2015年9月之间进行血管内治疗未破裂颅内动脉瘤的患者。该研究不包括那些谁失去了跟进和那些未破裂梭形动脉瘤的患者,但包括那些被随机分为推导组(60%)和验证组(40%)的患者。神经并发症被定义为动脉瘤栓塞后的任何暂时性或永久性的增加改良Rankin量表评分。神经系统并发症风险评分来自于推导组合验证组验证的多元回归分析。

总体而言,该研究共包括了1060例患者(推导组636例和验证组424例)。神经系统并发症的发生率是5.5%(95%置信区间,3.8%-7.4%)。3点风险评分(S-C-C)被推导出来预测神经系统并发症(大小[≥10毫米=1],核心区[是=1],脑缺血合并症[是=1])。神经系统并发症的发生率从0点患者的2.2%变化到3点患者的25.0%。该分数显著证明了推导组的辨别力(C-统计,0.714; 95%置信区间,0.624-0.804)和校准(McFadden R2,0.102)性能。比较好的预测、辨别力和校准性能在验证组进行了再现。

未破裂颅内动脉瘤的血管内治疗后20例患者中有1例患者发生了神经系统并发症。S-C-C分数基于日常实践变量,对于预测这些不良结果是有用的。

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    2016-11-23 丁鹏鹏
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    2016-02-15 忠诚向上

    学习天向上

    0

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    2016-02-15 lietome1

    0

  7. [GetPortalCommentsPageByObjectIdResponse(id=1937262, encodeId=9529193e262d8, content=<a href='/topic/show?id=7238e44560c' target=_blank style='color:#2F92EE;'>#神经系统并发症#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=67, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=74456, encryptionId=7238e44560c, topicName=神经系统并发症)], attachment=null, authenticateStatus=null, createdAvatar=http://thirdwx.qlogo.cn/mmopen/vi_32/Q0j4TwGTfTI5V6pBDhhleaA9ZQaNgImyx09qqFom6WIvSGdUoWfKiaWCiaeUfnXMRECAMPA81Wkd4EOicrPibOTudQ/132, createdBy=b9382500209, createdName=ms6127405442416114, createdTime=Thu Dec 22 00:27:00 CST 2016, time=2016-12-22, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1757692, encodeId=0ae11e57692b8, content=<a href='/topic/show?id=84ba49031f9' target=_blank style='color:#2F92EE;'>#并发#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=44, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=49031, encryptionId=84ba49031f9, topicName=并发)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=a27e37327108, createdName=丁鹏鹏, createdTime=Wed Nov 23 20:27:00 CST 2016, time=2016-11-23, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1903113, encodeId=bc861903113e0, content=<a href='/topic/show?id=e1b0583884b' target=_blank style='color:#2F92EE;'>#新方法#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=53, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=58388, encryptionId=e1b0583884b, topicName=新方法)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=c22f171, createdName=kord1982, createdTime=Mon Feb 29 22:27:00 CST 2016, time=2016-02-29, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1283006, encodeId=566e12830065c, content=<a href='/topic/show?id=4fade445192' target=_blank style='color:#2F92EE;'>#神经系统#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=57, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=74451, encryptionId=4fade445192, topicName=神经系统)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=02f5179, createdName=luoxiaog, createdTime=Wed Feb 17 08:27:00 CST 2016, time=2016-02-17, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=64385, encodeId=3fb96438534, content=学习天向上, beContent=null, objectType=article, channel=null, level=null, likeNumber=134, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=45101626056, createdName=忠诚向上, createdTime=Mon Feb 15 21:59:00 CST 2016, time=2016-02-15, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=64354, encodeId=ca9e64354f5, content=赞, beContent=null, objectType=article, channel=null, level=null, likeNumber=141, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=841a1636000, createdName=lietome1, createdTime=Mon Feb 15 20:09:00 CST 2016, time=2016-02-15, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=64355, encodeId=bfe56435511, content=加油!, beContent=null, objectType=article, channel=null, level=null, likeNumber=166, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=841a1636000, createdName=lietome1, createdTime=Mon Feb 15 20:09:00 CST 2016, time=2016-02-15, status=1, ipAttribution=)]
    2016-02-15 lietome1

    加油!

    0

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