JCEM:胰岛素分泌可预测新发糖尿病患者对降糖治疗的反应

2021-08-11 MedSci原创 MedSci原创

葡萄糖负荷后空腹血浆C肽浓度的增加预示着新发糖尿病患者对降糖治疗的反应。C-Pep120/C-Pep0为新发糖尿病患者的降糖治疗个体化方案提供了有用的工具。

近日,内分泌和代谢性疾病领域权威杂志Journal of Clinical Endocrinology & Metabolism上发表了一篇研究文章,该研究旨在明确新发T2DM患者降糖治疗个体化的预测因素。


 
在这一单中心研究中,261名新发糖尿病患者随机接受:(1)二甲双胍,随后是格列吡嗪,然后是甘精胰岛素,如果未能达到HbA1c<6.5%,或(2)二甲双胍/吡格列酮/艾塞那肽三联疗法。每位患者在治疗开始前接受75克OGTT检查。研究人员使用aROC方法确定预测治疗反应的因素。


39名患者仅使用二甲双胍治疗,并维持治疗目标(HbA1c<6.5%),无需强化降糖治疗;54名患者需要在二甲双胍治疗方案中加用格列吡嗪;47名患者需要在二甲双胍加格列吡嗪的基础上加用胰岛素来控制血糖。

OGTT检查期间的C-Pep120/C-Pep0比率是对治疗反应最强的预测因子。比值<1.78的患者更有可能需要胰岛素来控制血糖,而比值>2.65的患者更可能通过二甲双胍单药治疗来实​​现血糖控制。在接受三联疗法的患者中,HbA1c下降独立于C-Pep120/C-Pep0比率。
 
由此可见,葡萄糖负荷后空腹血浆C肽浓度的增加预示着新发糖尿病患者对降糖治疗的反应。C-Pep120/C-Pep0为新发糖尿病患者的降糖治疗个体化方案提供了有用的工具。

原始出处:

S Abdelgani.et al.Insulin Secretion Predicts the Response to Antidiabetic Therapy in Patients With New Onset Diabetes.JCEM.2021.https://doi.org/10.1210/clinem/dgab403

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    2022-01-02 baoya
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    2021-10-27 achengzhao
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topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=misszhang, createdTime=Thu Aug 12 00:32:16 CST 2021, time=2021-08-12, status=1, ipAttribution=)]
  5. 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topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=misszhang, createdTime=Thu Aug 12 00:32:16 CST 2021, time=2021-08-12, status=1, ipAttribution=)]
    2022-02-26 smallant2015
  6. 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  7. 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  8. 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topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=misszhang, createdTime=Thu Aug 12 00:32:16 CST 2021, time=2021-08-12, status=1, ipAttribution=)]
    2021-08-12 catking11973

    精准药物治疗还需探讨

    0

  9. 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topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=misszhang, createdTime=Thu Aug 12 00:32:16 CST 2021, time=2021-08-12, status=1, ipAttribution=)]
    2021-08-12 ms8000001556208743

    受教了

    0

  10. 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topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=misszhang, createdTime=Thu Aug 12 00:32:16 CST 2021, time=2021-08-12, status=1, ipAttribution=)]
    2021-08-12 misszhang

    谢谢MedSci提供最新的资讯

    0

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