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Stroke:糖尿病患者血清神经丝轻链水平与卒中

2019-05-29 xing.T 网络

由此可见,血清NfL水平可预测卒中事件并显著增加Framingham卒中风险评分在中老年糖尿病患者中的区分能力。

有效的卒中预防取决于准确的卒中风险预测。近日,血管疾病领域权威杂志Stroke上发表了一篇研究文章,研究人员旨在确定神经丝轻链(NfL)水平在7年随访期间用于区分发生和未发生卒中的糖尿病患者的辨别能力。

研究人员从先前完成ACCORD试验(控制血管风险因素行动糖尿病)中选择参与者进行了病例对照研究。病例均为ACCORD受试者,他们在入组时无卒中,并在随访期间发生卒中(n=113)。对照受试者(n=250)为随机选择的在随机化前或后没有发生卒中事件的ACCORD参与者。研究人员使用单分子阵列技术(Quanterix)测量了基线样品中NfL水平。

在调整年龄、种族、血压、体重和Framingham卒中风险评分后,与对照组相比,卒中受试者的基线NfL水平更高。在调整种族和Framingham卒中风险评分后,相对于NfL水平最低五分位数的受试者,第2至第5五分位数受试者的卒中发生率分别为3.91(1.45-10.53)、4.05(1.52-10.79)、5.63(2.16-14.66)和9.75 (3.84-27.71)。将NfL水平纳入已包括种族和Framingham卒中风险评分的预测评分中,其将评分的C统计量从0.71(95%CI为0.66-0.77)增加至0.78(95%CI为0.73-0.83),P <0.001。年龄较大,非白人种族,收缩压较高,肾小球滤过率<60,血红蛋白A1C较高是该队列血清NfL的独立预测因子,但舒张压、高血压糖尿病持续时间以及血脂水平均未降低。总体而言,心血管疾病风险因素解释了基线NfL水平变异性的19.2%。 

由此可见,血清NfL水平可预测卒中事件并显著增加Framingham卒中风险评分在中老年糖尿病患者中的区分能力。 

原始出处:

Frederick K. Korley.et al.Serum NfL (Neurofilament Light Chain) Levels and Incident Stroke in Adults With Diabetes Mellitus.stroke.2019.https://www.ahajournals.org/doi/10.1161/STROKEAHA.119.024941

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    2019-05-30 坚强007

    向科研人员致敬!

    0

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    2019-05-30 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

  6. [GetPortalCommentsPageByObjectIdResponse(id=1934999, encodeId=962119349990f, content=<a href='/topic/show?id=df6ee41476f' target=_blank style='color:#2F92EE;'>#神经丝轻链#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=61, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=74147, encryptionId=df6ee41476f, topicName=神经丝轻链)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=0bed488, createdName=jktdtl, createdTime=Sun Jan 12 21:49:00 CST 2020, time=2020-01-12, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1801659, encodeId=546c18016591e, content=<a href='/topic/show?id=91f1e4142bd' target=_blank style='color:#2F92EE;'>#神经丝#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=72, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=74142, encryptionId=91f1e4142bd, topicName=神经丝)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=1d01326, createdName=lizhou0204, createdTime=Tue Feb 18 06:49:00 CST 2020, time=2020-02-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1474751, encodeId=8d6614e475183, content=<a href='/topic/show?id=935fe6718e3' target=_blank style='color:#2F92EE;'>#糖尿病患者#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=59, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=76718, encryptionId=935fe6718e3, topicName=糖尿病患者)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=a38f7243741, createdName=xue8604, createdTime=Fri May 31 12:49:00 CST 2019, time=2019-05-31, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=367008, encodeId=9bdb36e00893, content=向科研人员致敬!, beContent=null, objectType=article, channel=null, level=null, likeNumber=107, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=e5171668917, createdName=坚强007, createdTime=Thu May 30 17:38:27 CST 2019, time=2019-05-30, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1026377, encodeId=9fd310263e754, 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=78, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=健健, createdTime=Thu May 30 00:49:00 CST 2019, time=2019-05-30, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1042475, encodeId=529310424e516, content=谢谢MedSci提供最新的资讯, beContent=null, objectType=article, channel=null, level=null, likeNumber=79, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=misszhang, createdTime=Thu May 30 00:49:00 CST 2019, time=2019-05-30, status=1, ipAttribution=)]
    2019-05-30 misszhang

    谢谢MedSci提供最新的资讯

    0

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