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Stroke:皮层静脉充盈是大脑中动脉卒中患者临床预后的预测因子

2016-05-25 MedSci MedSci原创

背景:闭塞动脉的下游的静脉血流可影响缺血性卒中患者的预后。研究者旨在应用动态CT血管造影评估皮层静脉充盈(CVF)情况,并且评估其与临床预后的关系。方法:大脑中动脉近端闭塞患者在卒中发病后9小时内行CT平扫及全脑CT灌注/动态CT血管造影。研究者定义不良预后为改良Rankin量表评分≥3。应用泊松回归分析CVF范围和速率和3个月不良预后的相关性。除外年龄,卒中的严重程度、治疗方式、ASPECT评分

背景:闭塞动脉的下游的静脉血流可影响缺血性卒中患者的预后。研究者旨在应用动态CT血管造影评估皮层静脉充盈(CVF)情况,并且评估其与临床预后的关系。

方法:大脑中动脉近端闭塞患者在卒中发病后9小时内行CT平扫及全脑CT灌注/动态CT血管造影。研究者定义不良预后为改良Rankin量表评分≥3。应用泊松回归分析CVF范围和速率与3个月不良预后的相关性。除外年龄,卒中的严重程度、治疗方式、ASPECT评分、脑血流量和侧枝循环外,应用Logistic回归分析最佳CVF(皮层静脉最大充盈区),并计算曲线下面积。

结果:共有88例患者纳入研究,平均年龄67岁。将最佳CVF范围和速度结合分析,研究者观察到最佳CVF良好并且较快的患者,不良预后风险下降,风险比为0.5(95%CI,0.3-0.7)。与没有纳入CVF的风险模型相比,最佳CVF的范围和速率预测价值增加(曲线下面积为0.88;95%CI,0.77-0.98)。

结论:CT血管造影评估中, CVF的范围和速度结合可用于识别大脑中动脉卒中患者3个月临床预后差的高风险患者。

原始出处:

van den Wijngaard IR, Wermer MJ, et al. Cortical Venous Filling on Dynamic Computed Tomographic Angiography: A Novel Predictor of Clinical Outcome in Patients With Acute Middle Cerebral Artery Stroke. Stroke. 2016 Mar.


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    2017-02-05 fusion
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    2016-10-14 ylzr123

    拜读了,受益匪浅,点个赞!

    0

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  6. [GetPortalCommentsPageByObjectIdResponse(id=1697315, encodeId=e97a169e31581, content=<a href='/topic/show?id=f2399910109' target=_blank style='color:#2F92EE;'>#静脉#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=78, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=99101, encryptionId=f2399910109, topicName=静脉)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=0bc129907796, createdName=fusion, createdTime=Sun Feb 05 04:19:00 CST 2017, time=2017-02-05, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1634439, encodeId=bef61634439f4, content=<a href='/topic/show?id=e6084385876' target=_blank style='color:#2F92EE;'>#大脑中动脉#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=78, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=43858, encryptionId=e6084385876, topicName=大脑中动脉)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=376422174069, createdName=楚钟, createdTime=Mon Jan 30 14:19:00 CST 2017, time=2017-01-30, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1720108, encodeId=e97e1e20108a1, content=<a href='/topic/show?id=915c3604e6b' target=_blank style='color:#2F92EE;'>#卒中患者#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=66, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=36047, encryptionId=915c3604e6b, topicName=卒中患者)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=940232842333, createdName=wangyang7969, createdTime=Mon Aug 22 22:19:00 CST 2016, time=2016-08-22, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=148201, encodeId=1712148201ff, content=拜读了,受益匪浅,点个赞!, beContent=null, objectType=article, channel=null, level=null, likeNumber=102, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://wx.qlogo.cn/mmopen/NUyjXTCJjo7s7ZCKOmmbBTD6nE7gcd5OZpvyGEzkxBP3S275k5ZJVrsPkotZhBglRHM9rKvcj1OgkssqhcnoPw8zIaMZTF8c/0, createdBy=4c441942088, createdName=ylzr123, createdTime=Fri Oct 14 14:11:02 CST 2016, time=2016-10-14, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1800195, encodeId=f4c318001955b, content=<a href='/topic/show?id=31b8e196232' target=_blank style='color:#2F92EE;'>#皮层静脉充盈#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=84, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=71962, encryptionId=31b8e196232, topicName=皮层静脉充盈)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=1dfd2500156, createdName=12498c24m69暂无昵称, createdTime=Sat Jun 11 04:19:00 CST 2016, time=2016-06-11, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1310621, encodeId=d3721310621e9, content=<a href='/topic/show?id=25dc1002255e' target=_blank style='color:#2F92EE;'>#预测因子#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=65, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=100225, encryptionId=25dc1002255e, topicName=预测因子)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=6105386, createdName=宋威, createdTime=Fri May 27 07:19:00 CST 2016, time=2016-05-27, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1534702, encodeId=638a1534e024d, content=<a href='/topic/show?id=6be9230842e' target=_blank style='color:#2F92EE;'>#临床预后#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=67, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=23084, encryptionId=6be9230842e, topicName=临床预后)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=a72412536387, createdName=budeshao, createdTime=Fri May 27 07:19:00 CST 2016, time=2016-05-27, status=1, ipAttribution=)]
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