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Clinica Chimica Acta:母体血清阿尔法胎蛋白(AFP-L2和AFP-L3)变异在预测胎儿开放神经管缺损和腹壁缺损中的诊断准确性如何?

2020-06-22 MedSci原创 MedSci原创

本研究的目的是评估母体血清甲胎蛋白变异L2和L3(AFP-L2和AFP-L3)的风险模型,以预测胎儿开放性神经管缺损(ONTD)和腹壁缺损(AWD)。

本研究的目的是评估母体血清甲胎蛋白变异L2和L3(AFP-L2和AFP-L3)的风险模型,以预测胎儿开放性神经管缺损(ONTD)和腹壁缺损(AWD)。研究对象分为ONTD组(21例)、AWD组(16例)和对照组(38例)。采用风险模型进行比较分析,采用受试者工作特性(ROC)曲线和曲线下面积(AUC)对AFP-L2和AFP-L3进行筛查

研究结果显示,ONTD组和AWD组AFP-L2和AFP-L3浓度均显著高于对照组(P < 0.001)。使用AFP-L2筛选ONTD或AWD的AUC为0.830[95%置信区间(CI): 0.734-0.926, P < 0.001],而使用AFP-L3的AUC为0.886 (95% CI: 0.809-0.963, P < 0.001)。ROC曲线显示,AFP-L2和AFP-L3对ONTD或AWD的最佳阈值分别为中位数(MoM)的1.467倍和1.944倍。AFP-L2和AFP-L3的相应灵敏度、特异度和约登指数分别为0.703、0.947、0.650和0.730、0.974、0.703。

因此,不研究结果表明AFP-L2和AFP-L3是筛查ONTD和AWD胎儿的良好生物标志物,使用AFP-L2和AFP-L3的风险模型具有较高的敏感性和特异性。

原始出处

Yiming ChenXue WangThe diagnostic accuracy of maternal serum alpha-fetoprotein variants (AFP-L2 and AFP-L3) in predicting fetal open neural tube defects and abdominal wall defects

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    2021-02-19 windight
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    2020-07-01 mxj1971619
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  6. [GetPortalCommentsPageByObjectIdResponse(id=1992907, encodeId=3bc6199290e07, content=<a href='/topic/show?id=f68e9158034' target=_blank style='color:#2F92EE;'>#诊断准确性#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=93, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=91580, encryptionId=f68e9158034, topicName=诊断准确性)], attachment=null, authenticateStatus=null, createdAvatar=http://thirdwx.qlogo.cn/mmopen/vi_32/pSGl6CJeZ2PzWxdhCtrvv4U9Q281RV8e0AKmlB5ib93DibbiaRyOzmkCdz5F04cbfX5RGOpG4dOXvuQW1fumibVeBg/132, createdBy=fc342500110, createdName=ms9833124466084992, createdTime=Wed Sep 30 06:14:37 CST 2020, time=2020-09-30, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1816485, encodeId=58a21816485fa, content=<a href='/topic/show?id=a7fb9e774e3' target=_blank style='color:#2F92EE;'>#阿尔法#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=88, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=97774, encryptionId=a7fb9e774e3, topicName=阿尔法)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=24a22500182, createdName=1696533704_45270454, createdTime=Fri Sep 11 08:14:37 CST 2020, time=2020-09-11, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1849942, encodeId=4b791849942a6, content=<a href='/topic/show?id=61815385aa' target=_blank style='color:#2F92EE;'>#CTA#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=60, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=5385, encryptionId=61815385aa, topicName=CTA)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=ec9955, createdName=windight, createdTime=Fri Feb 19 11:14:37 CST 2021, time=2021-02-19, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1633263, encodeId=f888163326352, content=<a href='/topic/show?id=08a220e6ce' target=_blank style='color:#2F92EE;'>#AFP#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=69, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=2076, encryptionId=08a220e6ce, topicName=AFP)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=c9b922043063, createdName=mxj1971619, createdTime=Wed Jul 01 00:14:37 CST 2020, time=2020-07-01, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1905985, encodeId=499c19059859d, content=<a href='/topic/show?id=34953120e52' target=_blank style='color:#2F92EE;'>#准确性#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=61, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=31207, encryptionId=34953120e52, topicName=准确性)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=512a199, createdName=lilianxiang, createdTime=Sun Aug 02 14:14:37 CST 2020, time=2020-08-02, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1342701, encodeId=828e1342e0136, content=<a href='/topic/show?id=34cb381023e' target=_blank style='color:#2F92EE;'>#变异#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=66, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=38102, encryptionId=34cb381023e, topicName=变异)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=78c32500188, createdName=12498dabm77暂无昵称, createdTime=Wed Jun 24 14:14:37 CST 2020, time=2020-06-24, status=1, ipAttribution=)]
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