Baidu
map

Radiology Cardiothorax Imaging:这种影像学检查可预测心脏死亡,尤其对于糖尿病患者

2019-07-06 国际糖尿病编辑部 国际糖尿病

有研究者报告,在接受应力性心肌灌注PET扫描检查的患者中,其结果异常程度增加与心脏死亡风险增加有关。而且,这种相关性在糖尿病患者中最为明显。

有研究者报告,在接受应力性心肌灌注PET扫描检查的患者中,其结果异常程度增加与心脏死亡风险增加有关。而且,这种相关性在糖尿病患者中最为明显。

哈佛医学院布莱根妇女医院Hicham Skali博士指出,来自糖尿病患者压力测试的数据让我们能够更好地对39%以上的患者进行风险分层。与非糖尿病患者相比,糖尿病患者的心脏死亡风险明显更高,压力测试数据能够帮助我们进一步对那些风险最高的患者进行分层。

Skali及其同事对7061例接受应力性心肌灌注PET扫描检查的患者数据进行了分析,其中1966例为糖尿病患者,平均年龄63岁,47%为女性,32.5%有明确冠状动脉疾病,26.8%既往曾接受血运重建治疗。主要终点是心脏死亡。平均随访时间为2.5年。

当研究者采用已知临床风险预测因素构建多元模型时,他们发现,应力性心肌灌注异常程度的增加会使心脏死亡风险增加(严重异常vs.正常:HR=7.2;95%CI:3.1~16.8)。

将心肌灌注PET结果加入临床预测因素可改善糖尿病患者的风险重分类(基于分类的净重分类指数=0.39;95%CI:0.15~0.6)。

在糖尿病亚组中,应力性心肌灌注PET结果异常与心脏死亡风险增加相关(HR=4.4;95%CI:2~9.7),且这种相关性与性别、肥胖、年龄、既往血运重建或无症状不存在交互作用。

在糖尿病患者中,心脏死亡的独立预测因素是年龄和异常心肌百分比。在非糖尿病患者中,心脏死亡的独立预测因素为年龄、女性、高胆固醇水平、静息心率和异常心肌百分比。

Skali指出,对于非糖尿病患者来说,无论压力有多大,身为女性都有一定优势,因为她们的死亡风险要低得多。然而,当观察糖尿病患者时,男性和女性心脏死亡风险相似,而且这种风险随着PET压力测试结果的恶化而增加。

原始出处:
Hicham Skali , Marcelo F. Di Carli,  et al. Stress Myocardial Perfusion PET Provides Incremental Risk Prediction in Patients with and Patients without Diabetes. Radiology: Cardiothorac Imaging. Jun 27 2019

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 (5)
#插入话题
  1. [GetPortalCommentsPageByObjectIdResponse(id=371406, encodeId=eff93e140664, content=影像学检查可预测心脏病。, beContent=null, objectType=article, channel=null, level=null, likeNumber=99, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=http://cacheapi.medsci.cn/resource/upload/20160806/IMG57A5698BDB0244113.jpg, createdBy=32a91358059, createdName=jyzxjiangqin, createdTime=Sat Aug 17 20:07:27 CST 2019, time=2019-08-17, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=370906, encodeId=62893e09069b, content=心肌灌注医学。, beContent=null, objectType=article, channel=null, level=null, likeNumber=113, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=http://cacheapi.medsci.cn/resource/upload/20160806/IMG57A5698BDB0244113.jpg, createdBy=32a91358059, createdName=jyzxjiangqin, createdTime=Wed Aug 07 18:10:00 CST 2019, time=2019-08-07, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=369391, encodeId=1e013693914f, content=好好学习,感谢, beContent=null, objectType=article, channel=null, level=null, likeNumber=97, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://wx.qlogo.cn/mmopen/oLAjfB7s1ib2cQVB0w6wKXcuEC4Enl0NTBvgHc6yoUM80A3TDia90Fo2MPicibnfm59eh7A0WoicrZXI2hde9ctxKPrlXhzNdL6oZ/0, createdBy=27371624227, createdName=zhangqingzui, createdTime=Wed Jul 10 08:07:29 CST 2019, time=2019-07-10, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1474775, encodeId=0e1d14e47754f, 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=63, 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=Mon Jul 08 01:38:00 CST 2019, time=2019-07-08, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1042559, encodeId=4f2110425599f, content=谢谢MedSci提供最新的资讯, beContent=null, objectType=article, channel=null, level=null, likeNumber=70, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=misszhang, createdTime=Sat Jul 06 13:38:00 CST 2019, time=2019-07-06, status=1, ipAttribution=)]
    2019-08-17 jyzxjiangqin

    影像学检查可预测心脏病。

    0

  2. [GetPortalCommentsPageByObjectIdResponse(id=371406, encodeId=eff93e140664, content=影像学检查可预测心脏病。, beContent=null, objectType=article, channel=null, level=null, likeNumber=99, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=http://cacheapi.medsci.cn/resource/upload/20160806/IMG57A5698BDB0244113.jpg, createdBy=32a91358059, createdName=jyzxjiangqin, createdTime=Sat Aug 17 20:07:27 CST 2019, time=2019-08-17, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=370906, encodeId=62893e09069b, content=心肌灌注医学。, beContent=null, objectType=article, channel=null, level=null, likeNumber=113, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=http://cacheapi.medsci.cn/resource/upload/20160806/IMG57A5698BDB0244113.jpg, createdBy=32a91358059, createdName=jyzxjiangqin, createdTime=Wed Aug 07 18:10:00 CST 2019, time=2019-08-07, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=369391, encodeId=1e013693914f, content=好好学习,感谢, beContent=null, objectType=article, channel=null, level=null, likeNumber=97, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://wx.qlogo.cn/mmopen/oLAjfB7s1ib2cQVB0w6wKXcuEC4Enl0NTBvgHc6yoUM80A3TDia90Fo2MPicibnfm59eh7A0WoicrZXI2hde9ctxKPrlXhzNdL6oZ/0, createdBy=27371624227, createdName=zhangqingzui, createdTime=Wed Jul 10 08:07:29 CST 2019, time=2019-07-10, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1474775, encodeId=0e1d14e47754f, 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=63, 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=Mon Jul 08 01:38:00 CST 2019, time=2019-07-08, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1042559, encodeId=4f2110425599f, content=谢谢MedSci提供最新的资讯, beContent=null, objectType=article, channel=null, level=null, likeNumber=70, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=misszhang, createdTime=Sat Jul 06 13:38:00 CST 2019, time=2019-07-06, status=1, ipAttribution=)]
    2019-08-07 jyzxjiangqin

    心肌灌注医学。

    0

  3. [GetPortalCommentsPageByObjectIdResponse(id=371406, encodeId=eff93e140664, content=影像学检查可预测心脏病。, beContent=null, objectType=article, channel=null, level=null, likeNumber=99, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=http://cacheapi.medsci.cn/resource/upload/20160806/IMG57A5698BDB0244113.jpg, createdBy=32a91358059, createdName=jyzxjiangqin, createdTime=Sat Aug 17 20:07:27 CST 2019, time=2019-08-17, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=370906, encodeId=62893e09069b, content=心肌灌注医学。, beContent=null, objectType=article, channel=null, level=null, likeNumber=113, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=http://cacheapi.medsci.cn/resource/upload/20160806/IMG57A5698BDB0244113.jpg, createdBy=32a91358059, createdName=jyzxjiangqin, createdTime=Wed Aug 07 18:10:00 CST 2019, time=2019-08-07, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=369391, encodeId=1e013693914f, content=好好学习,感谢, beContent=null, objectType=article, channel=null, level=null, likeNumber=97, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://wx.qlogo.cn/mmopen/oLAjfB7s1ib2cQVB0w6wKXcuEC4Enl0NTBvgHc6yoUM80A3TDia90Fo2MPicibnfm59eh7A0WoicrZXI2hde9ctxKPrlXhzNdL6oZ/0, createdBy=27371624227, createdName=zhangqingzui, createdTime=Wed Jul 10 08:07:29 CST 2019, time=2019-07-10, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1474775, encodeId=0e1d14e47754f, 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=63, 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=Mon Jul 08 01:38:00 CST 2019, time=2019-07-08, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1042559, encodeId=4f2110425599f, content=谢谢MedSci提供最新的资讯, beContent=null, objectType=article, channel=null, level=null, likeNumber=70, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=misszhang, createdTime=Sat Jul 06 13:38:00 CST 2019, time=2019-07-06, status=1, ipAttribution=)]
    2019-07-10 zhangqingzui

    好好学习,感谢

    0

  4. [GetPortalCommentsPageByObjectIdResponse(id=371406, encodeId=eff93e140664, content=影像学检查可预测心脏病。, beContent=null, objectType=article, channel=null, level=null, likeNumber=99, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=http://cacheapi.medsci.cn/resource/upload/20160806/IMG57A5698BDB0244113.jpg, createdBy=32a91358059, createdName=jyzxjiangqin, createdTime=Sat Aug 17 20:07:27 CST 2019, time=2019-08-17, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=370906, encodeId=62893e09069b, content=心肌灌注医学。, beContent=null, objectType=article, channel=null, level=null, likeNumber=113, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=http://cacheapi.medsci.cn/resource/upload/20160806/IMG57A5698BDB0244113.jpg, createdBy=32a91358059, createdName=jyzxjiangqin, createdTime=Wed Aug 07 18:10:00 CST 2019, time=2019-08-07, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=369391, encodeId=1e013693914f, content=好好学习,感谢, beContent=null, objectType=article, channel=null, level=null, likeNumber=97, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://wx.qlogo.cn/mmopen/oLAjfB7s1ib2cQVB0w6wKXcuEC4Enl0NTBvgHc6yoUM80A3TDia90Fo2MPicibnfm59eh7A0WoicrZXI2hde9ctxKPrlXhzNdL6oZ/0, createdBy=27371624227, createdName=zhangqingzui, createdTime=Wed Jul 10 08:07:29 CST 2019, time=2019-07-10, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1474775, encodeId=0e1d14e47754f, 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=63, 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=Mon Jul 08 01:38:00 CST 2019, time=2019-07-08, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1042559, encodeId=4f2110425599f, content=谢谢MedSci提供最新的资讯, beContent=null, objectType=article, channel=null, level=null, likeNumber=70, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=misszhang, createdTime=Sat Jul 06 13:38:00 CST 2019, time=2019-07-06, status=1, ipAttribution=)]
  5. [GetPortalCommentsPageByObjectIdResponse(id=371406, encodeId=eff93e140664, content=影像学检查可预测心脏病。, beContent=null, objectType=article, channel=null, level=null, likeNumber=99, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=http://cacheapi.medsci.cn/resource/upload/20160806/IMG57A5698BDB0244113.jpg, createdBy=32a91358059, createdName=jyzxjiangqin, createdTime=Sat Aug 17 20:07:27 CST 2019, time=2019-08-17, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=370906, encodeId=62893e09069b, content=心肌灌注医学。, beContent=null, objectType=article, channel=null, level=null, likeNumber=113, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=http://cacheapi.medsci.cn/resource/upload/20160806/IMG57A5698BDB0244113.jpg, createdBy=32a91358059, createdName=jyzxjiangqin, createdTime=Wed Aug 07 18:10:00 CST 2019, time=2019-08-07, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=369391, encodeId=1e013693914f, content=好好学习,感谢, beContent=null, objectType=article, channel=null, level=null, likeNumber=97, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://wx.qlogo.cn/mmopen/oLAjfB7s1ib2cQVB0w6wKXcuEC4Enl0NTBvgHc6yoUM80A3TDia90Fo2MPicibnfm59eh7A0WoicrZXI2hde9ctxKPrlXhzNdL6oZ/0, createdBy=27371624227, createdName=zhangqingzui, createdTime=Wed Jul 10 08:07:29 CST 2019, time=2019-07-10, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1474775, encodeId=0e1d14e47754f, 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=63, 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=Mon Jul 08 01:38:00 CST 2019, time=2019-07-08, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1042559, encodeId=4f2110425599f, content=谢谢MedSci提供最新的资讯, beContent=null, objectType=article, channel=null, level=null, likeNumber=70, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=misszhang, createdTime=Sat Jul 06 13:38:00 CST 2019, time=2019-07-06, status=1, ipAttribution=)]
    2019-07-06 misszhang

    谢谢MedSci提供最新的资讯

    0

相关资讯

BMJ:饮食因素与II型糖尿病风险

饮食因素与II型糖尿病风险密切相关

BMJ:II型糖尿病患者摄入多不饱和脂肪酸可显著降低心血管死亡和全因死亡风险

研究发现,对于II型糖尿病患者,多摄入多不饱和脂肪酸可显著降低心血管死亡和全因死亡风险

Lancet Diabetes Endo:alirocumab可大幅降低新近ACS患者后继心血管事件风险

研究认为,对于近期发生急性冠状动脉综合征的患者,接受alirocumab治疗可大幅降低患者后继心血管事件风险

Diabetes Care:肾衰竭一定有蛋白尿?未必!

根据发表在Diabetes Care杂志上的一项研究结果,成人合并糖尿病和3期慢性肾脏病(CKD)的患者,尽管蛋白尿正常,但随着时间推移,其估算肾小球滤过率(eGFR)会持续下降。

JCEM:抗抑郁药降低了糖尿病患者的死亡风险

由此可见,大多数ATD,而不是RIMA,与DM合并抑郁症患者的死亡率显著降低有关。

J Endod:血糖正常和糖尿病大鼠根尖周炎的Th1/Th2/Th17/Treg平衡研究

这篇研究的目的是为了评估血糖正常(N)和糖尿病大鼠罹患根尖周炎(AP)时T辅助(Th)细胞的炎症特征。

Baidu
map
Baidu
map
Baidu
map