Metabolism:2型糖尿病患者糖尿病相关住院和住院死亡预测模型的建立和验证!

2018-02-20 xing.T MedSci原创

由此可见,研究人员开发了2型糖尿病患者糖尿病相关住院和住院死亡的风险评估模型。该模型可用于识别有高入院风险和住院死亡的糖尿病患者。

糖尿病是住院和住院死亡的主要原因。近日,代谢性疾病领域权威杂志Metabolism-Clinical and Experimental上发表了一篇研究文章,该研究旨在描述一个评分系统,可以用来识别糖尿病相关住院和住院死亡的糖尿病患者。

该回顾性队列研究共纳入32653名患者。所有入组的患者患有2型糖尿病,30-84 岁,并在2001-2003年期间参加了全国糖尿病护理管理计划。研究人员使用Cox比例风险回归模型得到风险得分。研究人员采用操作者工作特性曲线评价模型的预测精度,并进行了霍斯默-Lemeshow检验评价预测的和观察到的风险之间的一致性。

在八年的随访期内,有6243名患者入院治疗糖尿病相关事件,住院记录中有2048人死亡。在一年、三年、五年和八年期间,验证组糖尿病相关住院曲线下面积(AUC)分别为0.80、077、0.76和0.74。验证组住院死亡的相应值分别为0.87、080、0.77和0.76。拟合优度检验表明,在验证组中,一年、三年、五年和八年糖尿病相关住院和住院死亡预测的和观察到的概率相似(所有P>0.05)。

由此可见,研究人员开发了2型糖尿病患者糖尿病相关住院和住院死亡的风险评估模型。该模型可用于识别有高入院风险和住院死亡的糖尿病患者。

原始出处:

Tsai-Chung Li,et al. Development and validation of prediction models for the risks of diabetes-related hospitalization and in-hospital mortality in patients with type 2 diabetes.Metabolism-Clinical and Experimental.2018. https://doi.org/10.1016/j.metabol.2018.02.003

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    2018-08-09 guojianrong
  2. 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    2018-03-28 zwjnj2

    好好好好学习天天向上好

    0

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    2018-08-28 一闲
  4. 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  8. 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content=<a href='/topic/show?id=6c6f1e62c5' target=_blank style='color:#2F92EE;'>#ABO#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=20, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=1762, encryptionId=6c6f1e62c5, topicName=ABO)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=b6c918580135, createdName=闆锋旦, createdTime=Wed Feb 21 23:45:00 CST 2018, time=2018-02-21, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=289660, encodeId=448d28966034, content=谢谢.涨知识了!, beContent=null, objectType=article, channel=null, level=null, likeNumber=60, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=990b2151290, createdName=177200fc66m, createdTime=Wed Feb 21 09:20:52 CST 2018, time=2018-02-21, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=289419, encodeId=78df2894197a, content=学习了.谢谢分享, beContent=null, objectType=article, channel=null, level=null, likeNumber=41, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=7c592194322, createdName=1209e435m98(暂无昵称), createdTime=Tue Feb 20 09:31:52 CST 2018, time=2018-02-20, status=1, ipAttribution=)]
    2018-02-21 闆锋旦
  9. 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beContent=null, objectType=article, channel=null, level=null, likeNumber=41, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=7c592194322, createdName=1209e435m98(暂无昵称), createdTime=Tue Feb 20 09:31:52 CST 2018, time=2018-02-20, status=1, ipAttribution=)]
    2018-02-21 177200fc66m

    谢谢.涨知识了!

    0

  10. 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beContent=null, objectType=article, channel=null, level=null, likeNumber=41, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=7c592194322, createdName=1209e435m98(暂无昵称), createdTime=Tue Feb 20 09:31:52 CST 2018, time=2018-02-20, status=1, ipAttribution=)]
    2018-02-20 1209e435m98(暂无昵称)

    学习了.谢谢分享

    0

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