Hypertension:高血压孕妇血管生成标志物预后模型

2020-01-28 xing.T MedSci原创

由此可见,该研究的结果强调了血管生成生物标志物的附加值,以及将模型中sFlt-1/PlGF比率连续量化的优异性能。妊娠35周后,血管生成标记物的附加价值逐渐减弱。

血管生成标记物,例如胎盘生长因子(PlGF)和可溶性Fms样酪氨酸激酶-1(sFlt-1),已显示可用于预测疑似先兆子痫妇女的不良结局。近日,心血管权威杂志Hypertension上发表了一篇研究文章,该研究的目的是评估血管生成标记物和孕妇危险因素对高血压孕妇的预后价值。

这是一项对2013年5月至2018年5月期间在两家三级医院就诊的并发先兆子痫、妊娠高血压或慢性高血压的孕妇进行的前瞻性研究。研究人员从参与者获得了孕妇的特征以及用于血管生成标记物分析的血液样本。该研究的主要结局是与先兆子痫相关的分娩。

研究队列中总共纳入了302名高血压孕妇。基线模型包括产妇体重指数、平均动脉压和评估时的临床诊断。sFlt-1/PIGF比值与基线模型结合使用可显著改善曲线值下的面积,以预测一周内(0.83 vs. 0.88; P=0.025)或2周内(0.86 vs. 0.93;P=0.001)小于35周的因子痫前期相关的分娩。sFlt-1/PlGF比率的准确性提高幅度为7.9%(-0.5%至16.4%,增加概率:96.7%)。

由此可见,该研究的结果强调了血管生成生物标志物的附加值,以及将模型中sFlt-1/PlGF比率连续量化的优异性能。妊娠35周后,血管生成标记物的附加价值逐渐减弱。

原始出处:

Helen Perry.et al.Angiogenic Marker Prognostic Models in Pregnant Women With Hypertension.Hypertension.2020.https://www.ahajournals.org/doi/10.1161/HYPERTENSIONAHA.119.13997

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    2020-05-12 feather89
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  5. 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  6. 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content=梅斯里提供了很多疾病的模型计算公式,赞一个!, beContent=null, objectType=article, channel=null, level=null, likeNumber=44, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=CHANGE, createdTime=Tue Jan 28 23:41:00 CST 2020, time=2020-01-28, status=1, ipAttribution=)]
    2020-01-30 1478fa69m73暂无昵称

    学习了

    0

  7. 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  8. 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ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=378615, encodeId=11543e861548, content=学习了, beContent=null, objectType=article, channel=null, level=null, likeNumber=66, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=http://cdnapi.center.medsci.cn/medsci/head/2019/12/23/2f51002e1349ccda5be11c1eea1e1e60.jpg, createdBy=a22097948, createdName=天地飞扬, createdTime=Wed Jan 29 10:02:16 CST 2020, time=2020-01-29, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=378611, encodeId=e8733e861102, content=好, beContent=null, objectType=article, channel=null, level=null, likeNumber=64, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=bbc11488193, createdName=thm112988, createdTime=Wed Jan 29 07:33:54 CST 2020, time=2020-01-29, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1047759, encodeId=1516104e75962, content=梅斯里提供了很多疾病的模型计算公式,赞一个!, beContent=null, objectType=article, channel=null, level=null, likeNumber=44, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=CHANGE, createdTime=Tue Jan 28 23:41:00 CST 2020, time=2020-01-28, status=1, ipAttribution=)]
    2020-01-29 天地飞扬

    学习了

    0

  9. 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    2020-01-29 thm112988

    0

  10. 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content=梅斯里提供了很多疾病的模型计算公式,赞一个!, beContent=null, objectType=article, channel=null, level=null, likeNumber=44, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=CHANGE, createdTime=Tue Jan 28 23:41:00 CST 2020, time=2020-01-28, status=1, ipAttribution=)]
    2020-01-28 CHANGE

    梅斯里提供了很多疾病的模型计算公式,赞一个!

    0

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