《柳叶刀》、NEJM两大**医学期刊发文:新冠病毒或致健康人新发糖尿病

2020-06-16 生物探索 生物探索

迄今为止的临床观察表明,COVID-19与糖尿病之间存在双向关系。

迄今为止的临床观察表明,COVID-19糖尿病之间存在双向关系。

一方面,糖尿病与增加COVID-19严重程度和死亡率的风险有关。在全球被诊断为COVID-19的患者中,目前发现有20%~50%的患者患有糖尿病,说明糖尿病是与COVID-19感染严重程度密切相关的基础疾病之一。

另一方面,在COVID-19患者中已观察到新发糖尿病和既往糖尿病的非典型代谢并发症,包括威胁生命的并发症。此前,在发表于JAMA的一项COVID-19相关研究中,来自埃默里大学医学院的美国团队分析了3月1日至4月6日因COVID-19住院的1122名美国患者的数据。结果表明,纳入的参与者中患有糖尿病或高血糖症(HbA1c水平高于6.5%)的比例高达42%。死亡率方面,患有糖尿病和高血糖症患者的院内死亡率为29%,而未伴有糖尿病或高血糖症中任何一种疾病的人群院内死亡率只有6%。也就是说,COVID-19患者如合并糖尿病或高血糖症,死亡率可能会增加4倍。

doi:10.1001/jama.2020.6775

日前,全球20位知名糖尿病及内分泌领域专家在国际权威医学期刊《柳叶刀》共同发表了题为“Practical recommendations for themanagement of diabetes in patients with COVID-19”的文章,发现患有COVID-19的老年糖尿病患者死于该疾病的风险更高——同时,该病毒实际上可能促使正常人成为新发糖尿病患者。

目前尚不清楚SARS-Cov-2是如何影响糖尿病的。先前的研究表明,与SARS-Cov-2结合并允许病毒进入人细胞的蛋白质ACE-2 不仅位于肺中,而且位于与葡萄糖代谢有关的器官和组织中,例如胰腺、小肠、脂肪组织、肝脏和肾脏等。研究人员推测,通过进入这些组织,该病毒可能导致葡萄糖代谢的多种复杂功能障碍。

另外在临床上,部分COVID-19患者应用了糖皮质激素,糖皮质激素治疗常常引起血糖波动。若长期使用糖皮质激素治疗,其发生糖尿病的风险将增加36%-131%。研究报告中提到,虽尚未证实新冠病毒会诱发糖尿病,但有证据表明新冠病毒感染可能成为诱发糖尿病的因素。

该文章的主要作者之一、北京大学人民医院内分泌科主任纪立农表示,在COVID-19合并糖尿病或高血糖的患者中,控制高血糖不但可以降低糖尿病急性并发症的发生风险,还可改善COVID-19感染的总体预后。因此,糖尿病患者应加强血糖和代谢管理,这是重要的一级预防手段。同时,不同患者应进行个体化目标管理、生活方式干预、血糖监测以及相应的药物治疗。

需要强调的是,对于COVID-19合并糖尿病患者来说,要在不增加低血糖风险的前提下严格控制血糖,改善患者的预后。胰岛素具有无胃肠道副作用,降糖效果明显,有利于组织修复,剂量也可及时调整且不受肝肾功能禁忌,可作为首选治疗药物。

无独有偶,6月12日,《新英格兰医学杂志》上发表的另一项研究报告中,17位国际领先糖尿病专家组成的国际小组参与CoviDiab Registry项目宣布建立全球COVID-19患者新发糖尿病病例登记系统,旨在了解COVID-19患者的糖尿病表现的程度和特征,以及大流行期间和流行后对受影响患者的治疗及监测的最佳策略。

DOI: 10.1056/NEJMc2018688

CoviDiab Registry项目联合首席研究员、伦敦国王学院代谢外科教授Francesco Rubino说道:“糖尿病是最流行的慢性疾病之一,我们现在正在意识到两者(COVID-19和糖尿病)之间不可避免的冲突所带来的后果。由于人类接触这种新型冠状病毒时间较短,该病毒影响葡萄糖代谢的确切机制仍不清楚,我们不知道这些患者的糖尿病急性表现是1型、2型还是新型糖尿病。”

CoviDiab Registry项目的联合首席研究员、国际糖尿病联合会名誉主席、墨尔本莫纳什大学糖尿病教授Paul Zimmet表示:“我们尚不知道COVID-19患者中新发糖尿病的严重程度,以及在患者感染后其是否会持续或消失;如果是这样的话,COVID-19是否会增加未来个体患糖尿病的风险。通过建立此全球登记中心,我们呼吁国际医学界迅速分享相关的临床观察结果,以帮助回答这些问题。”

CoviDiab Registry研究项目的联合研究员、伦敦国王学院糖尿病研究教授Stephanie Amiel说:“登记系统的重点在于常规收集临床数据,这些数据将帮助我们检查胰岛素分泌能力、胰岛素抵抗和自身免疫抗体状态,以了解与COVID-19相关的糖尿病的发生、自然史和最佳的管理。研究与COVID-19相关的糖尿病可能会发现新的疾病机制。”

近日,北京的新发地出现数十个新冠肺炎本土确诊病例,让人们原本放松的神经再度紧绷。北京再次进入非常时期。疫情的变化给所有人敲响警钟:狡猾的病毒没有彻底离开,疫情防护不能松懈。

对此,上海复旦大学附属华山医院感染科主任张文宏在微博中表示,精准防控不伤全局,将是中国抗疫常态。只要及时发现,快速处置,精准管控,散发的疫情定能得到很好控制。

原始出处:

Safiya Richardson, Jamie S. Hirsch, Mangala Narasimhan, et al. Presenting Characteristics, Comorbidities, and Outcomes Among 5700 Patients Hospitalized With COVID-19 in the New York City Area. JAMA April 22, 2020

Stefan R.Bornstein, Francesco Rubino, Kamlesh Khunti, et.al. Practical recommendations for the management of diabetes in patients with COVID-19. The Lancet Diabetes & Endocrinology Volume 8, Issue 6, June 2020, Pages 546-550

Francesco Rubino, Stephanie A. Amiel, Paul Zimmet, et.al. New-Onset Diabetes in Covid-19. NEJM June 12, 2020

版权声明:
本网站所有内容来源注明为“梅斯医学”或“MedSci原创”的文字、图片和音视频资料,版权均属于梅斯医学所有。非经授权,任何媒体、网站或个人不得转载,授权转载时须注明来源为“梅斯医学”。其它来源的文章系转载文章,或“梅斯号”自媒体发布的文章,仅系出于传递更多信息之目的,本站仅负责审核内容合规,其内容不代表本站立场,本站不负责内容的准确性和版权。如果存在侵权、或不希望被转载的媒体或个人可与我们联系,我们将立即进行删除处理。
在此留言
评论区 (6)
#插入话题
  1. [GetPortalCommentsPageByObjectIdResponse(id=1911137, encodeId=b064191113e81, content=<a href='/topic/show?id=8c0d2e73196' target=_blank style='color:#2F92EE;'>#健康人#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=43, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=27731, encryptionId=8c0d2e73196, topicName=健康人)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=55f6293, createdName=lishizhe, createdTime=Sun Aug 30 22:55:21 CST 2020, time=2020-08-30, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=805896, encodeId=ea188058963e, content=嗯, beContent=null, objectType=article, channel=null, level=null, likeNumber=105, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=a2955399522, createdName=ms5000000508717642, createdTime=Mon Aug 03 12:38:02 CST 2020, time=2020-08-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1513918, encodeId=ee20151391861, content=<a href='/topic/show?id=45ca34140ec' target=_blank style='color:#2F92EE;'>#医学期刊#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=56, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=34140, encryptionId=45ca34140ec, topicName=医学期刊)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=49a210597497, createdName=1249884fm90暂无昵称, createdTime=Thu Jun 18 03:55:21 CST 2020, time=2020-06-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1028188, encodeId=dce7102818832, content=新冠肺炎,疫情何时才能消失, beContent=null, objectType=article, channel=null, level=null, likeNumber=65, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=公卫新人, createdTime=Tue Jun 16 15:55:21 CST 2020, time=2020-06-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1035308, encodeId=4146103530888, content=顶刊就是顶刊,谢谢梅斯带来这么高水平的研究报道,我们科里同事经常看梅斯,分享梅斯上的信息, beContent=null, objectType=article, channel=null, level=null, likeNumber=0, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=旺医, createdTime=Tue Jun 16 15:55:21 CST 2020, time=2020-06-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1043160, encodeId=b15c1043160a9, content=谢谢MedSci提供最新的资讯, beContent=null, objectType=article, channel=null, level=null, likeNumber=53, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=misszhang, createdTime=Tue Jun 16 15:55:21 CST 2020, time=2020-06-16, status=1, ipAttribution=)]
  2. [GetPortalCommentsPageByObjectIdResponse(id=1911137, encodeId=b064191113e81, content=<a href='/topic/show?id=8c0d2e73196' target=_blank style='color:#2F92EE;'>#健康人#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=43, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=27731, encryptionId=8c0d2e73196, topicName=健康人)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=55f6293, createdName=lishizhe, createdTime=Sun Aug 30 22:55:21 CST 2020, time=2020-08-30, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=805896, encodeId=ea188058963e, content=嗯, beContent=null, objectType=article, channel=null, level=null, likeNumber=105, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=a2955399522, createdName=ms5000000508717642, createdTime=Mon Aug 03 12:38:02 CST 2020, time=2020-08-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1513918, encodeId=ee20151391861, content=<a href='/topic/show?id=45ca34140ec' target=_blank style='color:#2F92EE;'>#医学期刊#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=56, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=34140, encryptionId=45ca34140ec, topicName=医学期刊)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=49a210597497, createdName=1249884fm90暂无昵称, createdTime=Thu Jun 18 03:55:21 CST 2020, time=2020-06-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1028188, encodeId=dce7102818832, content=新冠肺炎,疫情何时才能消失, beContent=null, objectType=article, channel=null, level=null, likeNumber=65, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=公卫新人, createdTime=Tue Jun 16 15:55:21 CST 2020, time=2020-06-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1035308, encodeId=4146103530888, content=顶刊就是顶刊,谢谢梅斯带来这么高水平的研究报道,我们科里同事经常看梅斯,分享梅斯上的信息, beContent=null, objectType=article, channel=null, level=null, likeNumber=0, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=旺医, createdTime=Tue Jun 16 15:55:21 CST 2020, time=2020-06-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1043160, encodeId=b15c1043160a9, content=谢谢MedSci提供最新的资讯, beContent=null, objectType=article, channel=null, level=null, likeNumber=53, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=misszhang, createdTime=Tue Jun 16 15:55:21 CST 2020, time=2020-06-16, status=1, ipAttribution=)]
    2020-08-03 ms5000000508717642

    0

  3. [GetPortalCommentsPageByObjectIdResponse(id=1911137, encodeId=b064191113e81, content=<a href='/topic/show?id=8c0d2e73196' target=_blank style='color:#2F92EE;'>#健康人#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=43, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=27731, encryptionId=8c0d2e73196, topicName=健康人)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=55f6293, createdName=lishizhe, createdTime=Sun Aug 30 22:55:21 CST 2020, time=2020-08-30, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=805896, encodeId=ea188058963e, content=嗯, beContent=null, objectType=article, channel=null, level=null, likeNumber=105, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=a2955399522, createdName=ms5000000508717642, createdTime=Mon Aug 03 12:38:02 CST 2020, time=2020-08-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1513918, encodeId=ee20151391861, content=<a href='/topic/show?id=45ca34140ec' target=_blank style='color:#2F92EE;'>#医学期刊#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=56, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=34140, encryptionId=45ca34140ec, topicName=医学期刊)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=49a210597497, createdName=1249884fm90暂无昵称, createdTime=Thu Jun 18 03:55:21 CST 2020, time=2020-06-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1028188, encodeId=dce7102818832, content=新冠肺炎,疫情何时才能消失, beContent=null, objectType=article, channel=null, level=null, likeNumber=65, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=公卫新人, createdTime=Tue Jun 16 15:55:21 CST 2020, time=2020-06-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1035308, encodeId=4146103530888, content=顶刊就是顶刊,谢谢梅斯带来这么高水平的研究报道,我们科里同事经常看梅斯,分享梅斯上的信息, beContent=null, objectType=article, channel=null, level=null, likeNumber=0, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=旺医, createdTime=Tue Jun 16 15:55:21 CST 2020, time=2020-06-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1043160, encodeId=b15c1043160a9, content=谢谢MedSci提供最新的资讯, beContent=null, objectType=article, channel=null, level=null, likeNumber=53, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=misszhang, createdTime=Tue Jun 16 15:55:21 CST 2020, time=2020-06-16, status=1, ipAttribution=)]
  4. [GetPortalCommentsPageByObjectIdResponse(id=1911137, encodeId=b064191113e81, content=<a href='/topic/show?id=8c0d2e73196' target=_blank style='color:#2F92EE;'>#健康人#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=43, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=27731, encryptionId=8c0d2e73196, topicName=健康人)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=55f6293, createdName=lishizhe, createdTime=Sun Aug 30 22:55:21 CST 2020, time=2020-08-30, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=805896, encodeId=ea188058963e, content=嗯, beContent=null, objectType=article, channel=null, level=null, likeNumber=105, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=a2955399522, createdName=ms5000000508717642, createdTime=Mon Aug 03 12:38:02 CST 2020, time=2020-08-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1513918, encodeId=ee20151391861, content=<a href='/topic/show?id=45ca34140ec' target=_blank style='color:#2F92EE;'>#医学期刊#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=56, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=34140, encryptionId=45ca34140ec, topicName=医学期刊)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=49a210597497, createdName=1249884fm90暂无昵称, createdTime=Thu Jun 18 03:55:21 CST 2020, time=2020-06-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1028188, encodeId=dce7102818832, content=新冠肺炎,疫情何时才能消失, beContent=null, objectType=article, channel=null, level=null, likeNumber=65, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=公卫新人, createdTime=Tue Jun 16 15:55:21 CST 2020, time=2020-06-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1035308, encodeId=4146103530888, content=顶刊就是顶刊,谢谢梅斯带来这么高水平的研究报道,我们科里同事经常看梅斯,分享梅斯上的信息, beContent=null, objectType=article, channel=null, level=null, likeNumber=0, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=旺医, createdTime=Tue Jun 16 15:55:21 CST 2020, time=2020-06-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1043160, encodeId=b15c1043160a9, content=谢谢MedSci提供最新的资讯, beContent=null, objectType=article, channel=null, level=null, likeNumber=53, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=misszhang, createdTime=Tue Jun 16 15:55:21 CST 2020, time=2020-06-16, status=1, ipAttribution=)]
    2020-06-16 公卫新人

    新冠肺炎,疫情何时才能消失

    0

  5. [GetPortalCommentsPageByObjectIdResponse(id=1911137, encodeId=b064191113e81, content=<a href='/topic/show?id=8c0d2e73196' target=_blank style='color:#2F92EE;'>#健康人#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=43, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=27731, encryptionId=8c0d2e73196, topicName=健康人)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=55f6293, createdName=lishizhe, createdTime=Sun Aug 30 22:55:21 CST 2020, time=2020-08-30, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=805896, encodeId=ea188058963e, content=嗯, beContent=null, objectType=article, channel=null, level=null, likeNumber=105, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=a2955399522, createdName=ms5000000508717642, createdTime=Mon Aug 03 12:38:02 CST 2020, time=2020-08-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1513918, encodeId=ee20151391861, content=<a href='/topic/show?id=45ca34140ec' target=_blank style='color:#2F92EE;'>#医学期刊#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=56, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=34140, encryptionId=45ca34140ec, topicName=医学期刊)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=49a210597497, createdName=1249884fm90暂无昵称, createdTime=Thu Jun 18 03:55:21 CST 2020, time=2020-06-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1028188, encodeId=dce7102818832, content=新冠肺炎,疫情何时才能消失, beContent=null, objectType=article, channel=null, level=null, likeNumber=65, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=公卫新人, createdTime=Tue Jun 16 15:55:21 CST 2020, time=2020-06-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1035308, encodeId=4146103530888, content=顶刊就是顶刊,谢谢梅斯带来这么高水平的研究报道,我们科里同事经常看梅斯,分享梅斯上的信息, beContent=null, objectType=article, channel=null, level=null, likeNumber=0, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=旺医, createdTime=Tue Jun 16 15:55:21 CST 2020, time=2020-06-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1043160, encodeId=b15c1043160a9, content=谢谢MedSci提供最新的资讯, beContent=null, objectType=article, channel=null, level=null, likeNumber=53, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=misszhang, createdTime=Tue Jun 16 15:55:21 CST 2020, time=2020-06-16, status=1, ipAttribution=)]
    2020-06-16 旺医

    顶刊就是顶刊,谢谢梅斯带来这么高水平的研究报道,我们科里同事经常看梅斯,分享梅斯上的信息

    0

  6. [GetPortalCommentsPageByObjectIdResponse(id=1911137, encodeId=b064191113e81, content=<a href='/topic/show?id=8c0d2e73196' target=_blank style='color:#2F92EE;'>#健康人#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=43, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=27731, encryptionId=8c0d2e73196, topicName=健康人)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=55f6293, createdName=lishizhe, createdTime=Sun Aug 30 22:55:21 CST 2020, time=2020-08-30, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=805896, encodeId=ea188058963e, content=嗯, beContent=null, objectType=article, channel=null, level=null, likeNumber=105, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=a2955399522, createdName=ms5000000508717642, createdTime=Mon Aug 03 12:38:02 CST 2020, time=2020-08-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1513918, encodeId=ee20151391861, content=<a href='/topic/show?id=45ca34140ec' target=_blank style='color:#2F92EE;'>#医学期刊#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=56, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=34140, encryptionId=45ca34140ec, topicName=医学期刊)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=49a210597497, createdName=1249884fm90暂无昵称, createdTime=Thu Jun 18 03:55:21 CST 2020, time=2020-06-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1028188, encodeId=dce7102818832, content=新冠肺炎,疫情何时才能消失, beContent=null, objectType=article, channel=null, level=null, likeNumber=65, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=公卫新人, createdTime=Tue Jun 16 15:55:21 CST 2020, time=2020-06-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1035308, encodeId=4146103530888, content=顶刊就是顶刊,谢谢梅斯带来这么高水平的研究报道,我们科里同事经常看梅斯,分享梅斯上的信息, beContent=null, objectType=article, channel=null, level=null, likeNumber=0, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=旺医, createdTime=Tue Jun 16 15:55:21 CST 2020, time=2020-06-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1043160, encodeId=b15c1043160a9, content=谢谢MedSci提供最新的资讯, beContent=null, objectType=article, channel=null, level=null, likeNumber=53, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=misszhang, createdTime=Tue Jun 16 15:55:21 CST 2020, time=2020-06-16, status=1, ipAttribution=)]
    2020-06-16 misszhang

    谢谢MedSci提供最新的资讯

    0

相关资讯

ADA 2020:SGLT2抑制剂Farxiga降低了心力衰竭患者患糖尿病的风险

在没有2型糖尿病射血分数降低(HFrEF)的心力衰竭患者中,Farxiga将新发糖尿病的风险降低了32%。

致力于改善糖尿病患者的伤口不愈合:Ilya Pharma获得530万欧元的融资

ILP100通过将趋化因子CXCL12直接递送到患病部位,来减轻炎症并帮助加速伤口愈合和恢复。

甜食-快餐饮食易致糖尿病!杭州研究

近日,浙江大学研究人员发表的一项基于社区的横断面研究表明,以蔬菜-水果为主的饮食模式可显着降低胰岛素抵抗、糖尿病和腹型肥胖风险,而以甜食-快餐为主的饮食模式则显着增加上述代谢疾病风险,以米饭-肉类或海

Circulation:抗血小板+抗凝对糖尿病合并心血管疾病患者的联合疗效

冠状动脉疾病或外周动脉疾病患者通常合并糖尿病。这类患者未来发生血管事件的风险很高。

配方膳食可减重,并预防糖尿病!柳叶刀随机对照研究

近年来,2型糖尿病发病呈年轻化趋势。近日,柳叶刀杂志发表一项随机对照研究显示,在糖尿病早期(3年内),包括配方低能量膳食替代产品在内的强化生活方式干预,可以显着降低体重,改善血糖水平。

Diabetes Obes Metab:糖尿病对SARS-CoV-2感染严重程度和致命性的影响

该研究的结果提供了新的证据表明糖尿病与较高的COVID-19严重性和致命性风险相关。因此,SARS-CoV-2感染的糖尿病患者应考虑加强监护和降糖治疗。