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Metabolism:心外膜脂肪组织与COVID-19患者肺炎严重程度和不良结局相关

2020-11-21 MedSci原创 MedSci原创

胸部CT量化的EAT与COVID-19患者的肺炎严重程度和不良结局独立相关,这为其在临床风险分层中的使用提供了证据支持。

近日,代谢性疾病领域权威杂志Metabolism-Clinical and Experimental上发表了一篇研究文章,研究人员旨在评估胸部计算机断层扫描(CT)上量化的心外膜脂肪组织(EAT)与2019冠状病毒病(COVID-19)患者的肺炎严重程度和不良结局之间的关系。

研究人员对前瞻性国际登记研究进行了事后分析,该研究纳入了109例连续连续患者(年龄为64±16岁;男性占62%),这些患者经实验室检查和胸部CT成像确诊为COVID-19。使用半自动化软件,研究人员量化了与COVID-19肺炎相关的肺部异常负担(%)情况,并使用深度学习软件测量EAT体积(mL)和衰减(Hounsfield单位)情况。该研究的主要结局是临床恶化(重症监护室入院、有创机械通气或升压治疗)或院内死亡。

在对患者合并症进行校正的多变量线性回归分析中,COVID-19肺炎的总负担与EAT量(β=10.6,p=0.005)和EAT衰减(β=5.2,p=0.004)相关。饮食量与血清乳酸脱氢酶水平(r=0.361,p=0.001)和C反应蛋白(r=0.450,p<0.001)相关。23例(21.1%)患者在胸部CT检查后3天(IQR为1-13天)发生临床恶化或死亡。

在多变量logistic回归分析中,EAT体积(每增加一倍,OR为5.1 [95%CI为1.8–14.1] p=0.011)和EAT衰减(每增加5个Hounsfield单位,OR为3.4 [95%CI为1.5-7.5],p=0.003)是临床恶化或死亡的独立预测因子,如总肺炎负担(OR为2.5,95%CI为1.4-4.6,p=0.002),慢性肺病(OR为1.3 [95%CI为1.1-1.7],p=0.011)和心力衰竭病史(OR为3.5 [95%1.1–8.2],p=0.037)。

由此可见,胸部CT量化的EAT与COVID-19患者的肺炎严重程度和不良结局独立相关,这为其在临床风险分层中的使用提供了证据支持。

原始出处:

Kajetan Grodecki.et al.Epicardial adipose tissue is associated with extent of pneumonia and adverse outcomes in patients with COVID-19.Metabolism-Clinical and Experimental.2020.https://doi.org/10.1016/j.metabol.2020.154436

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    2021-06-09 guojianrong
  2. [GetPortalCommentsPageByObjectIdResponse(id=1888243, encodeId=a4dc1888243d0, content=<a href='/topic/show?id=d56611584ec' target=_blank style='color:#2F92EE;'>#Meta#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=76, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=11584, encryptionId=d56611584ec, topicName=Meta)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=d8f4110, createdName=guojianrong, createdTime=Wed Jun 09 20:15:29 CST 2021, time=2021-06-09, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=946994, encodeId=178294699438, content=学习了,谢谢, beContent=null, objectType=article, channel=null, level=null, likeNumber=0, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://cdnapi.center.medsci.cn/medsci/head/2018/05/22/c26524b0b4ca80000d38f0294262c002.jpg, createdBy=3cf52015303, createdName=苏小雨, createdTime=Wed Mar 10 08:10:22 CST 2021, time=2021-03-10, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1896779, encodeId=8eba1896e7916, content=<a href='/topic/show?id=4a391158248' target=_blank style='color:#2F92EE;'>#MET#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=85, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=11582, encryptionId=4a391158248, topicName=MET)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=18fc139, createdName=一闲, createdTime=Thu May 06 11:15:29 CST 2021, time=2021-05-06, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=901581, encodeId=6a0690158166, content=学习学习, beContent=null, objectType=article, channel=null, level=null, likeNumber=137, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=http://thirdwx.qlogo.cn/mmopen/vi_32/Q0j4TwGTfTI8sjzdiaaUibRibZj10WicE8liaqdGPcTGFibicsGctovac81liaibOlhP1Ap08CslOqDLlLpjoUlypOs22mg/132, createdBy=07f02549050, createdName=王君256, createdTime=Mon Nov 23 21:48:50 CST 2020, time=2020-11-23, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1297493, encodeId=363f129e49384, content=<a href='/topic/show?id=c0385134ab' target=_blank style='color:#2F92EE;'>#COVID-19患者#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=99, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=5134, encryptionId=c0385134ab, topicName=COVID-19患者)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=6976269, createdName=zhangph, createdTime=Mon Nov 23 03:15:29 CST 2020, time=2020-11-23, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1345815, encodeId=faff134581586, content=<a href='/topic/show?id=f8c5843e3c5' target=_blank style='color:#2F92EE;'>#脂肪组织#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=96, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=84373, encryptionId=f8c5843e3c5, topicName=脂肪组织)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=66962500501, createdName=yige2004, createdTime=Mon Nov 23 03:15:29 CST 2020, time=2020-11-23, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1577245, encodeId=107415e724547, content=<a href='/topic/show?id=d86d1159e36' target=_blank style='color:#2F92EE;'>#Metabolism#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=75, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=11597, encryptionId=d86d1159e36, topicName=Metabolism)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=1a6516392333, createdName=1249859em43(暂无昵称), createdTime=Mon Nov 23 03:15:29 CST 2020, time=2020-11-23, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1598083, encodeId=25651598083d1, content=<a href='/topic/show?id=6c6f1e62c5' target=_blank style='color:#2F92EE;'>#ABO#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=65, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=1762, encryptionId=6c6f1e62c5, topicName=ABO)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=b6c918580135, createdName=闆锋旦, createdTime=Mon Nov 23 03:15:29 CST 2020, time=2020-11-23, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=901282, encodeId=04179012827c, content=学习了, beContent=null, objectType=article, channel=null, level=null, likeNumber=97, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=http://thirdqq.qlogo.cn/qqapp/1103841572/01A6D7A729CB635C541D7F8345D3AE3D/100, createdBy=dd2c2425081, createdName=肥涛, createdTime=Sun Nov 22 21:49:33 CST 2020, time=2020-11-22, status=1, ipAttribution=)]
    2021-03-10 苏小雨

    学习了,谢谢

    0

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    2021-05-06 一闲
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    2020-11-23 王君256

    学习学习

    0

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    2020-11-23 闆锋旦
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    2020-11-22 肥涛

    学习了

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