Baidu
map

Journal of stroke:大血管堵塞导致的轻微脑卒中,早期神经系统恶化的预测因素有哪些?

2021-08-02 Freeman MedSci原创

大血管堵塞导致的轻微脑卒中,早期神经系统恶化的预测因素有哪些?

出现轻微症状的急性缺血性卒中患者很常见,约占所有患者的一半。尽管人们认为轻微卒中是一种良性疾病,但近三分之一的患者有持续的残疾。 特别是,多达30%的小卒中是由急性大血管闭塞(LVO)引起的,受影响的患者有早期神经系统恶化的高风险,长期预后不佳。

血管内治疗(EVT)是否对LVO引起的小卒中有益尚不确定,因为大多数EVT的大型临床试验都排除了美国国立卫生研究院卒中量表(NIHSS)评分在5分或以下的患者,而且一些回顾性研究报告了EVT对小卒中效果的矛盾性结果。

因此,确定哪些患者最有可能从轻微卒中伴有LVO的EVT中获益是至关重要的。超过一半的轻度脑卒中患者经药物治疗后,在3个月内显示出良好的效果,似乎不适合做EVT。

同时,在最佳药物治疗期间出现神经系统恶化的患者,即使在临床恶化后接受抢救性EVT,其结果也不如立即接受EVT的患者。因此,识别可能出现早期神经系统恶化(early neurological deterioration, END)的患者在临床上很重要,因为立即EVT可被视为这一患者群体的治疗选择之一。


理论上,从缺血(oligemic tissue )组织过渡到功能受损的状态可能导致临床恶化。基于这一理论,那些有较大面积的非梗死但灌注不足的组织可能有更大的风险发生END。

灌注加权成像(PWI)和扩散加权成像(DWI)的成像变量(指标 )可以成为低灌注脑区的潜在替代标记。利用这些指标,一些研究表明,PWI和DWI之间的不匹配与梗死的增长和不良后果有关,包括END。

然而,由于以往研究中研究参与者的异质性,这些成像变量是否能预测出现轻微症状的LVO患者的END仍是未知数。

藉此,韩国 Kyungpook National University大学的Dong-Seok Gwak等人,使用PWI和DWI预测了该人群中END的最佳预测性影像指标。

他们回顾性分析了2011年1月至2019年5月期间入院的94名患者,发病后24小时内就诊,基线美国国立卫生研究院卒中量表评分≤5,前循环LVO。


他们使用自动软件程序对DWI上确定的缺血性核心病变进行测量,并尽量减少人工编辑。进行动态易感性PWI,并获得由去卷积产生的残差函数的Tmax值。使用同一程序测量Tmax延迟量(Tmax>2、4、6、8和10秒)。

最佳阈值的Tmax延迟病变(delay lesionn)被定义为临界低灌注病变,反映了它与神经系统恶化的关系。并还记录了不匹配体积(Tmax>4秒-DWI体积和Tmax>6秒-DWI体积)和轻度低灌注病变,其中灌注缺损比半影区轻(Tmax 2-6秒和Tmax 4-6秒)。

然后,使用ROC曲线检查每个变量与END的关联。

最后,具有最佳预测性能的变量在Youden指数最大化的分界点被二分,随后使用多变量逻辑回归进行分析。

他们发现:39.4%的参与者发生了END。

最佳变量被确定为Tmax>6秒、Tmax>6秒-DWI和Tmax 4-6秒,对应的分界点分别为53.73、32.77和55.20 mL。

这些变量与END独立相关,上述3个预测指标对应的OR分别为12.78,5.73, 9.13.

这个研究的新颖之处在于发现了:Tmax>6秒、Tmax>6秒-DWI和Tmax 4-6秒可以识别LVO导致的轻微卒中后的高风险患者。

 

原文出处:
Gwak DS, Kwon JA, Shim DH, Kim YW, Hwang YH. Perfusion and Diffusion Variables Predict Early Neurological Deterioration in Minor Stroke and Large Vessel Occlusion. J Stroke. 2021 Jan;23(1):61-68. doi: 10.5853/jos.2020.01466. Epub 2021 Jan 31. PMID: 33600703; PMCID: PMC7900396.

版权声明:
本网站所有内容来源注明为“梅斯医学”或“MedSci原创”的文字、图片和音视频资料,版权均属于梅斯医学所有。非经授权,任何媒体、网站或个人不得转载,授权转载时须注明来源为“梅斯医学”。其它来源的文章系转载文章,或“梅斯号”自媒体发布的文章,仅系出于传递更多信息之目的,本站仅负责审核内容合规,其内容不代表本站立场,本站不负责内容的准确性和版权。如果存在侵权、或不希望被转载的媒体或个人可与我们联系,我们将立即进行删除处理。
在此留言
评论区 (5)
#插入话题
  1. [GetPortalCommentsPageByObjectIdResponse(id=1706181, encodeId=389d1e0618141, content=<a href='/topic/show?id=7f6443986ec' target=_blank style='color:#2F92EE;'>#大血管#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=57, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=43986, encryptionId=7f6443986ec, topicName=大血管)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=caff31165455, createdName=kkunny, createdTime=Thu Jul 14 00:58:42 CST 2022, time=2022-07-14, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1801871, encodeId=5ef218018e16c, content=<a href='/topic/show?id=b13ce4458c4' target=_blank style='color:#2F92EE;'>#神经系统恶化#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=60, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=74458, encryptionId=b13ce4458c4, topicName=神经系统恶化)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=73a3403, createdName=weihongyv, createdTime=Mon Mar 14 08:58:42 CST 2022, time=2022-03-14, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1264368, encodeId=72431264368c4, content=<a href='/topic/show?id=daf1100226fb' target=_blank style='color:#2F92EE;'>#预测因素#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=58, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=100226, encryptionId=daf1100226fb, topicName=预测因素)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=a57b78, createdName=朱睿睿, createdTime=Tue Aug 03 14:58:42 CST 2021, time=2021-08-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1283187, encodeId=689c128318e8f, 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=60, 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=Tue Aug 03 14:58:42 CST 2021, time=2021-08-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1026925, encodeId=1fc4102692503, content=卒中虽然是临床上常见病,溶栓,取栓等血管内治疗也很成熟,但是仍然有很多未知问题有待认知!, beContent=null, objectType=article, channel=null, level=null, likeNumber=100, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=健健, createdTime=Mon Aug 02 02:58:42 CST 2021, time=2021-08-02, status=1, ipAttribution=)]
    2022-07-14 kkunny
  2. [GetPortalCommentsPageByObjectIdResponse(id=1706181, encodeId=389d1e0618141, content=<a href='/topic/show?id=7f6443986ec' target=_blank style='color:#2F92EE;'>#大血管#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=57, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=43986, encryptionId=7f6443986ec, topicName=大血管)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=caff31165455, createdName=kkunny, createdTime=Thu Jul 14 00:58:42 CST 2022, time=2022-07-14, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1801871, encodeId=5ef218018e16c, content=<a href='/topic/show?id=b13ce4458c4' target=_blank style='color:#2F92EE;'>#神经系统恶化#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=60, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=74458, encryptionId=b13ce4458c4, topicName=神经系统恶化)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=73a3403, createdName=weihongyv, createdTime=Mon Mar 14 08:58:42 CST 2022, time=2022-03-14, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1264368, encodeId=72431264368c4, content=<a href='/topic/show?id=daf1100226fb' target=_blank style='color:#2F92EE;'>#预测因素#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=58, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=100226, encryptionId=daf1100226fb, topicName=预测因素)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=a57b78, createdName=朱睿睿, createdTime=Tue Aug 03 14:58:42 CST 2021, time=2021-08-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1283187, encodeId=689c128318e8f, 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=60, 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=Tue Aug 03 14:58:42 CST 2021, time=2021-08-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1026925, encodeId=1fc4102692503, content=卒中虽然是临床上常见病,溶栓,取栓等血管内治疗也很成熟,但是仍然有很多未知问题有待认知!, beContent=null, objectType=article, channel=null, level=null, likeNumber=100, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=健健, createdTime=Mon Aug 02 02:58:42 CST 2021, time=2021-08-02, status=1, ipAttribution=)]
  3. [GetPortalCommentsPageByObjectIdResponse(id=1706181, encodeId=389d1e0618141, content=<a href='/topic/show?id=7f6443986ec' target=_blank style='color:#2F92EE;'>#大血管#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=57, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=43986, encryptionId=7f6443986ec, topicName=大血管)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=caff31165455, createdName=kkunny, createdTime=Thu Jul 14 00:58:42 CST 2022, time=2022-07-14, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1801871, encodeId=5ef218018e16c, content=<a href='/topic/show?id=b13ce4458c4' target=_blank style='color:#2F92EE;'>#神经系统恶化#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=60, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=74458, encryptionId=b13ce4458c4, topicName=神经系统恶化)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=73a3403, createdName=weihongyv, createdTime=Mon Mar 14 08:58:42 CST 2022, time=2022-03-14, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1264368, encodeId=72431264368c4, content=<a href='/topic/show?id=daf1100226fb' target=_blank style='color:#2F92EE;'>#预测因素#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=58, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=100226, encryptionId=daf1100226fb, topicName=预测因素)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=a57b78, createdName=朱睿睿, createdTime=Tue Aug 03 14:58:42 CST 2021, time=2021-08-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1283187, encodeId=689c128318e8f, 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=60, 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=Tue Aug 03 14:58:42 CST 2021, time=2021-08-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1026925, encodeId=1fc4102692503, content=卒中虽然是临床上常见病,溶栓,取栓等血管内治疗也很成熟,但是仍然有很多未知问题有待认知!, beContent=null, objectType=article, channel=null, level=null, likeNumber=100, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=健健, createdTime=Mon Aug 02 02:58:42 CST 2021, time=2021-08-02, status=1, ipAttribution=)]
  4. [GetPortalCommentsPageByObjectIdResponse(id=1706181, encodeId=389d1e0618141, content=<a href='/topic/show?id=7f6443986ec' target=_blank style='color:#2F92EE;'>#大血管#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=57, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=43986, encryptionId=7f6443986ec, topicName=大血管)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=caff31165455, createdName=kkunny, createdTime=Thu Jul 14 00:58:42 CST 2022, time=2022-07-14, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1801871, encodeId=5ef218018e16c, content=<a href='/topic/show?id=b13ce4458c4' target=_blank style='color:#2F92EE;'>#神经系统恶化#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=60, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=74458, encryptionId=b13ce4458c4, topicName=神经系统恶化)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=73a3403, createdName=weihongyv, createdTime=Mon Mar 14 08:58:42 CST 2022, time=2022-03-14, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1264368, encodeId=72431264368c4, content=<a href='/topic/show?id=daf1100226fb' target=_blank style='color:#2F92EE;'>#预测因素#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=58, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=100226, encryptionId=daf1100226fb, topicName=预测因素)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=a57b78, createdName=朱睿睿, createdTime=Tue Aug 03 14:58:42 CST 2021, time=2021-08-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1283187, encodeId=689c128318e8f, 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=60, 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=Tue Aug 03 14:58:42 CST 2021, time=2021-08-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1026925, encodeId=1fc4102692503, content=卒中虽然是临床上常见病,溶栓,取栓等血管内治疗也很成熟,但是仍然有很多未知问题有待认知!, beContent=null, objectType=article, channel=null, level=null, likeNumber=100, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=健健, createdTime=Mon Aug 02 02:58:42 CST 2021, time=2021-08-02, status=1, ipAttribution=)]
  5. [GetPortalCommentsPageByObjectIdResponse(id=1706181, encodeId=389d1e0618141, content=<a href='/topic/show?id=7f6443986ec' target=_blank style='color:#2F92EE;'>#大血管#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=57, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=43986, encryptionId=7f6443986ec, topicName=大血管)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=caff31165455, createdName=kkunny, createdTime=Thu Jul 14 00:58:42 CST 2022, time=2022-07-14, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1801871, encodeId=5ef218018e16c, content=<a href='/topic/show?id=b13ce4458c4' target=_blank style='color:#2F92EE;'>#神经系统恶化#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=60, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=74458, encryptionId=b13ce4458c4, topicName=神经系统恶化)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=73a3403, createdName=weihongyv, createdTime=Mon Mar 14 08:58:42 CST 2022, time=2022-03-14, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1264368, encodeId=72431264368c4, content=<a href='/topic/show?id=daf1100226fb' target=_blank style='color:#2F92EE;'>#预测因素#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=58, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=100226, encryptionId=daf1100226fb, topicName=预测因素)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=a57b78, createdName=朱睿睿, createdTime=Tue Aug 03 14:58:42 CST 2021, time=2021-08-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1283187, encodeId=689c128318e8f, 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=60, 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=Tue Aug 03 14:58:42 CST 2021, time=2021-08-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1026925, encodeId=1fc4102692503, content=卒中虽然是临床上常见病,溶栓,取栓等血管内治疗也很成熟,但是仍然有很多未知问题有待认知!, beContent=null, objectType=article, channel=null, level=null, likeNumber=100, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=健健, createdTime=Mon Aug 02 02:58:42 CST 2021, time=2021-08-02, status=1, ipAttribution=)]
    2021-08-02 健健

    卒中虽然是临床上常见病,溶栓,取栓等血管内治疗也很成熟,但是仍然有很多未知问题有待认知!

    0

相关资讯

脑卒中防治政策解读

党中央、国务院高度重视卫生健康工作。解决好脑卒中的防治问题对于提高人民群众健康水平、减轻家庭、社会负担具有重要意义。

HBP:脑卒中基底节损害运动障碍患者远端脑区白质变性

基底神经节的局部破坏可能影响到大脑的远端区域。确定了WM变性影响病灶远端脑区的模式,揭示了脑卒中患者结构网络的异常组织,这可能有助于理解偏瘫的神经机制。

Int J Environ Res Public Health:躯干练习烤肉改善卒中患者在不稳定表面行走的能力

改善与平衡相关的能力是卒中康复的一个重要目标。需要有证据来证明如何更好地实现这一目标。近日,一项随机对照试验探究了在不稳定的表面上进行躯干练习是否能改善卒中亚急性期患者的躯干控制和平衡能力,研究结果已

Lancet子刊:脑出血后复发卒中的概率有多大?主要取决于脑出血部位!

全球范围内,自发性脑出血(ICH)引起的中风约占所有中风的四分之一。

IEEE trans:一种低成本的脑卒中患者下肢运动康复脑机接口系统

脑中风是一组以脑部缺血及出血性损伤症状为主要临床表现的疾病,又称脑卒中或脑血管意外,具有极高的病死率和致残率,主要分为出血性脑中风(脑出血或蛛网膜下腔出血)和缺血性脑中风(脑梗塞、脑血栓形成)两大类,

J Neurol Sci:脑卒中发病后1周内开始使用HAL进行步态训练有利于大脑恢复

急性脑卒中患者中尽早开始机器人辅助步态训练可以促进神经可塑性。本研究旨在通过弥散张量成像(DTI)阐明与使用混合辅助肢体(HAL)的步态训练有关的白质微结构变化,研究结果已发表于J Neurol Sc

Baidu
map
Baidu
map
Baidu
map