JCEM:微粉化黄体酮对睡眠的疗效

2020-11-30 MedSci原创 MedSci原创

微粉化的孕酮改善了各种睡眠结局指标,尤其是在绝经后妇女的研究中。进一步的研究可以在较大的人群中使用多导睡眠图或经过验证的调查表来评估微粉化的孕酮单药的疗效。

临床前数据表明,孕酮代谢物通过对GABA-A受体的正构调节来改善睡眠。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,研究人员对随机对照试验进行了系统回顾和荟萃分析,以评估微粉化的孕酮治疗对睡眠结局的影响。

根据PRISMA指南,研究人员在MEDLINE、Embase、PsycInfo和Cochrane对照试验登记中心检索了微粉化孕酮治疗对睡眠结局影响的随机对照试验,检索截至2020年3月31日。该研究已在国际系统评价预期登记册(PROSPERO)中注册,编号CRD42020165981。随机效应模型用于定量分析。

研究人员通过检索策略检索到了9项包括388名参与者的随机对照试验,还发现了另一项未发表的试验。八项试验纳入了绝经后妇女。与安慰剂相比,微粉化的孕酮改善了通过多导睡眠监测仪测得的各种睡眠参数,包括总睡眠时间和睡眠发作潜伏期,尽管研究结果不一致。4项试验的荟萃分析支持微粉体的孕酮用于睡眠发作潜伏期(效应量为7.10;95%CI为1.30,12.91),但对总睡眠时间(效应量为20.72;95%CI为-0.16,41.59)或睡眠效率(效应量为1.31;95%CI为-2.09,4.70)无影响。在大多数试验中,自我报告的睡眠结局均得到改善。

在这些随机对照试验中,微粉化的孕酮改善了各种睡眠结局指标,尤其是在绝经后妇女的研究中。进一步的研究可以在较大的人群中使用多导睡眠图或经过验证的调查表来评估微粉化的孕酮单药的疗效。

原始出处:

Brendan J Nolan.et al.Efficacy of micronised progesterone for sleep: a systematic review and meta-analysis of randomised controlled trial data.JCEM.2020.https://doi.org/10.1210/clinem/dgaa873

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    2021-11-09 湘雅科教

    已拜读,受益匪浅。

    0

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    2021-03-22 achengzhao
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    2021-10-07 smallant2015
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    2020-12-01 Psycho.Dr Du

    什么叫微粉化🙃

    0

  6. [GetPortalCommentsPageByObjectIdResponse(id=1068461, encodeId=17ac1068461f9, content=已拜读,受益匪浅。, beContent=null, objectType=article, channel=null, level=null, likeNumber=47, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=6c905475903, createdName=湘雅科教, createdTime=Tue Nov 09 10:26:34 CST 2021, time=2021-11-09, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=2063384, encodeId=dd252063384cc, content=<a href='/topic/show?id=14fb10264d7' target=_blank style='color:#2F92EE;'>#JCE#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=31, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=10264, encryptionId=14fb10264d7, topicName=JCE)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=e656479, createdName=achengzhao, createdTime=Mon Mar 22 04:11:25 CST 2021, time=2021-03-22, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1778002, encodeId=462e1e780025b, content=<a href='/topic/show?id=eb9610265ed' target=_blank style='color:#2F92EE;'>#JCEM#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=37, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=10265, encryptionId=eb9610265ed, topicName=JCEM)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=2a4439169927, createdName=smallant2015, createdTime=Thu Oct 07 01:11:25 CST 2021, time=2021-10-07, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1694438, encodeId=afd416944387c, content=<a href='/topic/show?id=82291031139d' target=_blank style='color:#2F92EE;'>#黄体酮#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=38, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=103113, encryptionId=82291031139d, topicName=黄体酮)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=2a7129650151, createdName=oliver179, createdTime=Tue Aug 03 18:11:25 CST 2021, time=2021-08-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=903801, encodeId=7f0d9038017c, content=什么叫微粉化🙃, beContent=null, objectType=article, channel=null, level=null, likeNumber=89, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210607/9f00a0de660e4b36b77a9a5f7620d6bf/98c22b17ddf7446fa7b9a618fabcb9f7.jpg, createdBy=a8fb2299762, createdName=Psycho.Dr Du, createdTime=Tue Dec 01 10:29:05 CST 2020, time=2020-12-01, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1032720, encodeId=d5751032e20e6, content=谢谢梅斯提供这么好的信息,学到很多, beContent=null, objectType=article, channel=null, level=null, likeNumber=50, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=内科新手, createdTime=Tue Dec 01 02:11:25 CST 2020, time=2020-12-01, status=1, ipAttribution=)]
    2020-12-01 内科新手

    谢谢梅斯提供这么好的信息,学到很多

    0

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