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NEJM:替卡格雷用于稳定型冠心病和糖尿病患者疗效

2019-10-03 xing.T MedSci原创

由此可见,在没有心肌梗塞或卒中病史的稳定冠心病和糖尿病患者中,接受替卡格雷加阿司匹林治疗的患者发生缺血性心血管事件的发生率较低,但发生大出血的发生率高于那些接受安慰剂加阿司匹林治疗的患者。

尚未发生心肌梗塞或卒中的稳定冠状动脉疾病和糖尿病患者极有可能发生心血管事件。目前尚不清楚在阿司匹林中加入替卡格雷是否能改善这一人群的预后。 

近日,顶级医学期刊NEJM上发表了一篇研究文章,在这项随机、双盲试验中,研究人员分配了50岁或以上且患有稳定的冠状动脉疾病和2型糖尿病的患者接受替卡格雷加阿司匹林或安慰剂加阿司匹林治疗。排除既往有心肌梗塞或卒中的患者。主要疗效结局是心血管死亡、心肌梗塞或卒中的综合结局。该研究的主要安全性结局是根据心肌梗塞溶栓(TIMI)标准定义的大出血。

该研究共有19220例患者接受了随机分组。中位随访时间为39.9个月。替卡格雷组的永久停药率高于安慰剂组(34.5% vs. 25.4%)。替卡格雷组的缺血性心血管事件的发生率(主要疗效结局)低于安慰剂组(7.7% vs. 8.5%;风险比为0.90;95%置信区间[CI]为0.81至0.99;P=0.04),而TIMI大出血的发生率更高(2.2% vs. 1.0%;风险比为2.32; 95%CI为1.82至2.94; P<0.001),颅内出血的发生率也更高(0.7% vs. 0.5%;风险比:1.71;95%CI为1.18至2.48;P=0.005)。致命性出血的发生率无显著差异(0.2% vs. 0.1%;风险比为1.90;95%CI为0.87至4.15;P=0.11)。替卡格雷组和安慰剂组的不可逆性伤害性探索性综合结局(因任何原因死亡、心肌梗塞、卒中、致命性出血或颅内出血)的发生率相似(10.1% vs. 10.8%;风险比为0.93;95%CI为0.86至1.02)。

由此可见,在没有心肌梗塞或卒中病史的稳定冠心病和糖尿病患者中,接受替卡格雷加阿司匹林治疗的患者发生缺血性心血管事件的发生率较低,但发生大出血的发生率高于那些接受安慰剂加阿司匹林治疗的患者。 

原始出处:

P. Gabriel Steg,et al.Ticagrelor in Patients with Stable Coronary Disease and Diabetes.NEJM.2019.https://www.nejm.org/doi/full/10.1056/NEJMoa1908077

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    2019-10-03 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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    2019-10-03 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=1803370, encodeId=12d918033e090, content=<a href='/topic/show?id=8b44e528972' target=_blank style='color:#2F92EE;'>#稳定型#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=78, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=75289, encryptionId=8b44e528972, topicName=稳定型)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=18b32500069, createdName=108807375_62823127, createdTime=Fri Oct 11 22:12:00 CST 2019, time=2019-10-11, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1370705, encodeId=e23513e070508, content=<a href='/topic/show?id=691a603409f' target=_blank style='color:#2F92EE;'>#替卡格雷#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=93, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=60340, encryptionId=691a603409f, topicName=替卡格雷)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=2fe4321, createdName=lifangping, createdTime=Sat Oct 05 04:12:00 CST 2019, time=2019-10-05, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1474829, encodeId=1f5714e482991, content=<a href='/topic/show?id=935fe6718e3' target=_blank style='color:#2F92EE;'>#糖尿病患者#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=64, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=76718, encryptionId=935fe6718e3, topicName=糖尿病患者)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=a38f7243741, createdName=xue8604, createdTime=Sat Oct 05 04:12:00 CST 2019, time=2019-10-05, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1032299, encodeId=e244103229988, 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=75, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=内科新手, createdTime=Thu Oct 03 16:12:00 CST 2019, time=2019-10-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1034972, encodeId=014510349e2a8, 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=88, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=旺医, createdTime=Thu Oct 03 16:12:00 CST 2019, time=2019-10-03, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1042745, encodeId=d2401042e458a, content=谢谢MedSci提供最新的资讯, beContent=null, objectType=article, channel=null, level=null, likeNumber=78, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=misszhang, createdTime=Thu Oct 03 16:12:00 CST 2019, time=2019-10-03, status=1, ipAttribution=)]
    2019-10-03 misszhang

    谢谢MedSci提供最新的资讯

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