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DIABETOLOGIA：从临床和空腹生化指标测定1型糖尿病细胞功能

2019-04-04 不详 网络

1型糖尿病细胞功能
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<span style="font-size:12.0pt;font-family:宋体;mso-ascii-font-family: Calibri;mso-ascii-theme-font:minor-latin;mso-fareast-font-family:宋体;mso-fareast-theme-font: minor-fareast;mso-hansi-font-family:Ca

通常通过混合餐测试(CPAVE)后2小时的平均血浆c肽浓度来评估1型糖尿病的细胞功能。如果有一种更简单、更方便和更便宜的措施，那么监测疾病进展和对疾病治疗的反应将从中益于。因此，本研究探讨是否可以从常规临床变量可靠地估计CPAVE。

本研究所涉及的临床和禁食生化数据，来自8个随机治疗试验，包括最近诊断为1型糖尿病的参与者，用于开发和验证线性模型来估计CPAVE，并测试它们在估计细胞功能损失和免疫治疗反应方面的准确性。

结果显示，基于疾病持续时间、体重指数、胰岛素剂量,糖化血红蛋白、空腹血浆c -肽和空腹血糖最准确地估计损失的β细胞功能(接受者操作特征曲线下面积(AUROC) 0.89 (95% CI 0.87, 0.92))，比常用insulin-dose-adjusted糖化血红蛋白(IDAA1c)测量(AUROC 0.72 [95% CI 0.68, 0.76])较好。模型估计的CPAVE (CPEST)在随机试验中可靠地确定了治疗效果。与CPAVE相比，CPEST只需要稍微增加样本量(最多17%)就可以获得相同的统计能力。

CPEST由六个变量在同一时间点组成，可以准确地识别1型糖尿病中细胞功能的丧失，在确定治疗效果方面与CPAVE相当。CPEST可作为一种简便、经济的检测β细胞功能的方法进而用于临床，并可作为1型糖尿病疾病治疗试验的主要结果指标。

原始出处：

John M. Wentworth, Naiara G. Bediaga, Beta cell function in type 1 diabetes determined from clinical and fasting biochemical variables

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    2019-12-05 ms5439512287675881

    #BET#

    0

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    2019-08-06 ms9608593228839890

    #DIA#

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    2019-10-14 爆笑小医

    #测定#

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    2020-01-08 hukaixun

    #生化指标#

    0

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    2019-04-06 般若傻瓜

    #细胞功能#

    0

  6. [GetPortalCommentsPageByObjectIdResponse(id=1761078, encodeId=107b1e6107833, content=<a href='/topic/show?id=9bea33520d' target=_blank style='color:#2F92EE;'>#BET#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=29, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=3352, encryptionId=9bea33520d, topicName=BET)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=9a1a37427546, createdName=ms5439512287675881, createdTime=Thu Dec 05 00:32:00 CST 2019, time=2019-12-05, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1639068, encodeId=f8af1639068fa, content=<a href='/topic/show?id=afda591646' target=_blank style='color:#2F92EE;'>#DIA#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=36, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=5916, encryptionId=afda591646, topicName=DIA)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=987022654425, createdName=ms9608593228839890, createdTime=Tue Aug 06 12:32:00 CST 2019, time=2019-08-06, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1662286, encodeId=688c166228605, content=<a href='/topic/show?id=6a426545472' target=_blank style='color:#2F92EE;'>#测定#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=25, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=65454, encryptionId=6a426545472, topicName=测定)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=395f25, createdName=爆笑小医, createdTime=Mon Oct 14 01:32:00 CST 2019, time=2019-10-14, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1798336, encodeId=09fa1e9833655, content=<a href='/topic/show?id=329a68895d0' target=_blank style='color:#2F92EE;'>#生化指标#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=43, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=68895, encryptionId=329a68895d0, topicName=生化指标)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=6ab940, createdName=hukaixun, createdTime=Wed Jan 08 23:32:00 CST 2020, time=2020-01-08, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1586835, encodeId=23dc158683530, content=<a href='/topic/show?id=a6d1e7821de' target=_blank style='color:#2F92EE;'>#细胞功能#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=35, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=77821, encryptionId=a6d1e7821de, topicName=细胞功能)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=2ec517387980, createdName=般若傻瓜, createdTime=Sat Apr 06 13:32:00 CST 2019, time=2019-04-06, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1042359, encodeId=b9811042359d4, content=谢谢MedSci提供最新的资讯, beContent=null, objectType=article, channel=null, level=null, likeNumber=42, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=misszhang, createdTime=Fri Apr 05 01:32:00 CST 2019, time=2019-04-05, status=1, ipAttribution=)]
    2019-04-05 misszhang

    谢谢MedSci提供最新的资讯

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