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Clinica Chimica Acta：新生儿筛查模型

2020-08-09 MedSci原创 MedSci原创

新生儿；筛查模型
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对于新生儿筛查 (NBS)，没有基于米兰共识模型的分析性能指标（APS）。本研究目标是为NBS提供基于最新技术(SOTA)的总误差(TE) APS。

对于新生儿筛查 (NBS)，没有基于米兰共识模型的分析性能指标（APS）。本研究目标是为NBS提供基于最新技术(SOTA)的总误差(TE) APS。

2015年5月至2018年9月，共收集了西班牙国家统计局EQA项目23662份结果。测变量包括：促甲状腺激素(TSH)、免疫反应性的胰蛋白酶原(红外热成像),苯丙氨酸(检),酪氨酸(酪氨酸),免费肉碱(C0) acetylcarnitine (C2), propionylcarnitine (C3) butyrylcarnitine (C4) isovalerylcarnitine (C5) glutarylcarnitine (C5DC) hexanoylcarnitine (C6) octanoylcarnitine (C8) decanoylcarnitine (C10) myristoylcarnitine (C14) palmitoylcarnitine (C16) stearoylcarnitine (C18)。

TE APS计算为测量误差的90％，仅考虑每个实验室的最佳结果的75％。 还研究了分析性能是否与浓度有关。计算所有方法的TE APS时，TSH、IRT、C16和C18的分析性能最好，Phe、C5DC和C10的分析性能最差。一般来说，当只考虑大多数方法时，TE APS会下降，并且在较低的浓度下可以得到较高的TE APS。

研究结果表明，由于缺乏基于高级模型的APS，提出的基于SOTA的TE APS可以帮助NBS实验室设置质量规范。

原始出处：

LeonorGuiñón，AnnaSoler，Analytical performance specifications based on the state-of-the-art for the newborn screening

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  1. [GetPortalCommentsPageByObjectIdResponse(id=2018951, encodeId=9da020189515c, content=<a href='/topic/show?id=f9cb5850493' target=_blank style='color:#2F92EE;'>#新生儿筛查#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=34, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=58504, encryptionId=f9cb5850493, topicName=新生儿筛查)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=11b4465, createdName=ying_wu, createdTime=Tue Jan 12 05:38:12 CST 2021, time=2021-01-12, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1850010, encodeId=fc3a185001060, content=<a href='/topic/show?id=61815385aa' target=_blank style='color:#2F92EE;'>#CTA#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=26, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=5385, encryptionId=61815385aa, topicName=CTA)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=ec9955, createdName=windight, createdTime=Mon Nov 09 01:38:12 CST 2020, time=2020-11-09, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1047841, encodeId=e980104e841f7, 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=30, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=CHANGE, createdTime=Mon Aug 10 01:38:12 CST 2020, time=2020-08-10, status=1, ipAttribution=)]
    2021-01-12 ying_wu

    #新生儿筛查#

    0

  2. [GetPortalCommentsPageByObjectIdResponse(id=2018951, encodeId=9da020189515c, content=<a href='/topic/show?id=f9cb5850493' target=_blank style='color:#2F92EE;'>#新生儿筛查#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=34, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=58504, encryptionId=f9cb5850493, topicName=新生儿筛查)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=11b4465, createdName=ying_wu, createdTime=Tue Jan 12 05:38:12 CST 2021, time=2021-01-12, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1850010, encodeId=fc3a185001060, content=<a href='/topic/show?id=61815385aa' target=_blank style='color:#2F92EE;'>#CTA#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=26, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=5385, encryptionId=61815385aa, topicName=CTA)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=ec9955, createdName=windight, createdTime=Mon Nov 09 01:38:12 CST 2020, time=2020-11-09, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1047841, encodeId=e980104e841f7, 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=30, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=CHANGE, createdTime=Mon Aug 10 01:38:12 CST 2020, time=2020-08-10, status=1, ipAttribution=)]
    2020-11-09 windight

    #CTA#

    0

  3. [GetPortalCommentsPageByObjectIdResponse(id=2018951, encodeId=9da020189515c, content=<a href='/topic/show?id=f9cb5850493' target=_blank style='color:#2F92EE;'>#新生儿筛查#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=34, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=58504, encryptionId=f9cb5850493, topicName=新生儿筛查)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=11b4465, createdName=ying_wu, createdTime=Tue Jan 12 05:38:12 CST 2021, time=2021-01-12, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1850010, encodeId=fc3a185001060, content=<a href='/topic/show?id=61815385aa' target=_blank style='color:#2F92EE;'>#CTA#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=26, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=5385, encryptionId=61815385aa, topicName=CTA)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=ec9955, createdName=windight, createdTime=Mon Nov 09 01:38:12 CST 2020, time=2020-11-09, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1047841, encodeId=e980104e841f7, 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=30, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=CHANGE, createdTime=Mon Aug 10 01:38:12 CST 2020, time=2020-08-10, status=1, ipAttribution=)]
    2020-08-10 CHANGE

    梅斯里提供了很多疾病的模型计算公式，赞一个！

    0