Diabetologia:从口服葡萄糖胰岛素敏感性指数预测钳夹衍生的胰岛素敏感性

2018-07-03 MedSci MedSci原创

近日,国际杂志 《Diabetologia》上在线发表一项关于从口服葡萄糖胰岛素敏感性指数预测钳夹衍生的胰岛素敏感性的研究。 高胰岛素正葡萄糖钳夹技术是测量胰岛素敏感性的黄金标准方法,但该方法不适用于大型临床试验。因此,已经开发了几种评估口服葡萄糖耐量试验(OGTT)胰岛素敏感性的指标。但是,大多数产生的值与通过钳位方法获得的值不同。这项研究的目的是开发一个新的指标,进而从OGTT衍生的口服

近日,国际杂志 《Diabetologia》上在线发表一项关于从口服葡萄糖胰岛素敏感性指数预测钳夹衍生的胰岛素敏感性的研究。

高胰岛素正葡萄糖钳夹技术是测量胰岛素敏感性的黄金标准方法,但该方法不适用于大型临床试验。因此,已经开发了几种评估口服葡萄糖耐量试验(OGTT)胰岛素敏感性的指标。但是,大多数产生的值与通过钳位方法获得的值不同。这项研究的目的是开发一个新的指标,进而从OGTT衍生的口服葡萄糖胰岛素敏感性指数(OGIS)中预测钳制胰岛素敏感性(M值)。

研究人员分析了同时进行钳夹和OGTT或膳食测试的人的数据集,从而计算M值和OGIS。分为训练和验证队列(分别为Ñ = 359Ñ = 154)。在逐步选择后,将M值预测的最佳模型应用于验证队列。该队列还根据葡萄糖耐量,肥胖类别和年龄设定亚组。

新指数PREDIcted MPREDIM)是基于OGISBMIOGTT期间2小时葡萄糖和空腹胰岛素形成的。 Bland-Altman分析揭示了验证数据集中M值与PREDIM 之间的良好相关性(154个观测值中仅有9个观测值超出了一致性限值)。此外,在M值和PREDIM 之间没有发现显著差异(等同性测试:p <0.0063)。亚组分层显示测量的M值和PREDIM具有类似的检测组间差异的能力(p <0.02M值和PREDIM)。

新的PREDIM指数可以很好地预测OGTT或膳食数据中的M值,从而可以在使用不同测试的研究之间比较胰岛素敏感性。

原始出处:

Andrea Tura, Gaetano Chemello, Julia Szendroediet al. Prediction of clamp-derived insulin sensitivity from the oral glucose insulin sensitivity index

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    2018-09-09 baoya
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time=2018-07-04, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=329164, encodeId=e5dd32916490, content=学习了长知识, beContent=null, objectType=article, channel=null, level=null, likeNumber=46, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20201006/4db877c2887649beb09cb5effd0b38c7/916f66edd48a4e77b20ebc3e14b6e45c.jpg, createdBy=141e1980133, createdName=Y—xianghai, createdTime=Wed Jul 04 06:53:23 CST 2018, time=2018-07-04, status=1, ipAttribution=)]
    2018-07-04 cici-moon

    期望临床大规模研究给予肯定并应用

    0

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time=2018-07-04, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=329164, encodeId=e5dd32916490, content=学习了长知识, beContent=null, objectType=article, channel=null, level=null, likeNumber=46, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20201006/4db877c2887649beb09cb5effd0b38c7/916f66edd48a4e77b20ebc3e14b6e45c.jpg, createdBy=141e1980133, createdName=Y—xianghai, createdTime=Wed Jul 04 06:53:23 CST 2018, time=2018-07-04, status=1, ipAttribution=)]
    2018-07-04 Y—xianghai

    学习了长知识

    0

  8. 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time=2018-07-04, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=329164, encodeId=e5dd32916490, content=学习了长知识, beContent=null, objectType=article, channel=null, level=null, likeNumber=46, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20201006/4db877c2887649beb09cb5effd0b38c7/916f66edd48a4e77b20ebc3e14b6e45c.jpg, createdBy=141e1980133, createdName=Y—xianghai, createdTime=Wed Jul 04 06:53:23 CST 2018, time=2018-07-04, status=1, ipAttribution=)]
    2018-07-04 Y—xianghai

    学习了长知识

    0

  9. 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time=2018-07-04, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=329164, encodeId=e5dd32916490, content=学习了长知识, beContent=null, objectType=article, channel=null, level=null, likeNumber=46, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20201006/4db877c2887649beb09cb5effd0b38c7/916f66edd48a4e77b20ebc3e14b6e45c.jpg, createdBy=141e1980133, createdName=Y—xianghai, createdTime=Wed Jul 04 06:53:23 CST 2018, time=2018-07-04, status=1, ipAttribution=)]
    2018-07-04 Y—xianghai

    学习了长知识

    0

  10. 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    2018-07-04 Y—xianghai

    学习了长知识

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