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Clinica Chimica Acta：溶血后血清钾水平恢复的统计模型

2019-11-23 gladiator MedSci原创

血清钾水平恢复
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血样溶血影响分析前的质量，并可能导致假高钾血症

血样溶血影响分析前的质量，并可能导致假高钾血症。在此，本研究建立了一个统计模型来估计校正后的血清钾(K+)。

研究人员分析血清K+和H指数，从全血检查(FBE)结果中获得血细胞指数。采用溶血(H)指数、K+和共变异的血细胞指数对139例血液标本进行线性回归分析。该模型随后在26个体外物理溶血血清样本上进行了验证。

研究结果显示：最终模型选择H指数、血红蛋白浓度(HGB)、红细胞压积(HCT)作为K+含量的重要预测因子。模型经人工溶血血清样品验证，结果显示溶血净K+增加与预测值之间的相关系数为0.942。预测因子H指数、HCT和HB对模型R2的贡献率分别为93.7%、3.5%和2.8%。

研究表明，体外溶血诱导的假高钾血症可由本模型准确预测和修复，并可进行临床应用。

原始出处：

Wei-zheng Zhang，David J. Price，A statistical model for restoration of serum potassium level disturbed by hemolysis

本文系梅斯医学（MedSci）原创编译整理，转载需授权！

 

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  1. [GetPortalCommentsPageByObjectIdResponse(id=1984293, encodeId=2f4d19842939e, content=<a href='/topic/show?id=d6b1894e1c8' target=_blank style='color:#2F92EE;'>#血清钾#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=65, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=89471, encryptionId=d6b1894e1c8, topicName=血清钾)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=e656479, createdName=achengzhao, createdTime=Mon Aug 03 06:24:00 CST 2020, time=2020-08-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1849799, encodeId=533c1849e99ee, content=<a href='/topic/show?id=61815385aa' target=_blank style='color:#2F92EE;'>#CTA#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=89, 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 Apr 06 06:24:00 CST 2020, time=2020-04-06, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1047744, encodeId=0b27104e7441f, 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=73, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=CHANGE, createdTime=Sun Nov 24 00:24:00 CST 2019, time=2019-11-24, status=1, ipAttribution=)]
    2020-08-03 achengzhao

    #血清钾#

    0

  2. [GetPortalCommentsPageByObjectIdResponse(id=1984293, encodeId=2f4d19842939e, content=<a href='/topic/show?id=d6b1894e1c8' target=_blank style='color:#2F92EE;'>#血清钾#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=65, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=89471, encryptionId=d6b1894e1c8, topicName=血清钾)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=e656479, createdName=achengzhao, createdTime=Mon Aug 03 06:24:00 CST 2020, time=2020-08-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1849799, encodeId=533c1849e99ee, content=<a href='/topic/show?id=61815385aa' target=_blank style='color:#2F92EE;'>#CTA#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=89, 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 Apr 06 06:24:00 CST 2020, time=2020-04-06, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1047744, encodeId=0b27104e7441f, 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=73, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=CHANGE, createdTime=Sun Nov 24 00:24:00 CST 2019, time=2019-11-24, status=1, ipAttribution=)]
    2020-04-06 windight

    #CTA#

    0

  3. [GetPortalCommentsPageByObjectIdResponse(id=1984293, encodeId=2f4d19842939e, content=<a href='/topic/show?id=d6b1894e1c8' target=_blank style='color:#2F92EE;'>#血清钾#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=65, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=89471, encryptionId=d6b1894e1c8, topicName=血清钾)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=e656479, createdName=achengzhao, createdTime=Mon Aug 03 06:24:00 CST 2020, time=2020-08-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1849799, encodeId=533c1849e99ee, content=<a href='/topic/show?id=61815385aa' target=_blank style='color:#2F92EE;'>#CTA#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=89, 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 Apr 06 06:24:00 CST 2020, time=2020-04-06, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1047744, encodeId=0b27104e7441f, 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=73, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=CHANGE, createdTime=Sun Nov 24 00:24:00 CST 2019, time=2019-11-24, status=1, ipAttribution=)]
    2019-11-24 CHANGE

    梅斯里提供了很多疾病的模型计算公式，赞一个！

    0