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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="research-article" dtd-version="1.1" xml:lang="zh" xsi:noNamespaceSchemaLocation="https://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1.xsd"><front><journal-meta><!-- 出版商赋予期刊ID--><journal-id journal-id-type="publisher-id">YIKE</journal-id><journal-title-group><!-- 期刊中文全称--><journal-title>安徽医科大学学报</journal-title><!-- 期刊英文全称--><journal-title xml:lang="en">Acta Universitatis Medicinalis Anhui</journal-title><!-- 期刊英文缩写--><abbrev-journal-title abbrev-type="publisher" xml:lang="en">Acta Universitatis Medicinalis Anhui</abbrev-journal-title><!-- 期刊中文缩写--><abbrev-journal-title abbrev-type="publisher">安徽医科大学学报</abbrev-journal-title></journal-title-group><!-- 期刊ISSN号--><issn pub-type="ppub">1000-1492</issn><!-- 期刊CN号--><issn pub-type="cn">34-1065/R</issn><publisher><!--出版商英文名称【预置实体】 待确认 --><publisher-name xml:lang="en">Anhui Lianzhong Printing Limited Company</publisher-name><!--出版商英文地址【预置实体】 --><publisher-loc xml:lang="en">Editorial Board of Acta Universitatis Medi-cinalis Anhui Meishan Road , Hefei 230032</publisher-loc><!-- 出版商中文名称【预置实体】--><publisher-name>《安徽医科大学学报》编辑部</publisher-name><!--出版商中文地址【预置实体】 --><publisher-loc>安徽省合肥市安徽医科大学校内老图书馆三楼</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">1000–1492（2026）04–0706–09</article-id><article-id pub-id-type="doi">10.19405/j.cnki.issn1000–1492.2026.04.015</article-id><article-id pub-id-type="manuscript">26 V230 程伟  -1</article-id><article-categories><subj-group subj-group-type="clc"><subject>R541.4</subject></subj-group><subj-group subj-group-type="dc"><subject>A</subject></subj-group><subj-group subj-group-type="heading"><subject>临床医学研究</subject></subj-group></article-categories><title-group><article-title>基于磁共振量化的心外膜脂肪参数与急性心肌梗死后微循环阻塞的相关性</article-title><trans-title-group xml:lang="en"><trans-title>Association between epicardial adipose parameters and microvascular obstruction following acute myocardial infarction based on CMR</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><name-alternatives><name name-style="eastern"><surname>程</surname><given-names>伟</given-names></name><name name-style="eastern" xml:lang="en"><surname>Cheng</surname><given-names>Wei</given-names></name></name-alternatives><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="author-notes" rid="fna1"/></contrib><contrib contrib-type="author"><name-alternatives><name name-style="eastern"><surname>李</surname><given-names>瑶</given-names></name><name name-style="eastern" xml:lang="en"><surname>Li</surname><given-names>Yao</given-names></name></name-alternatives><xref ref-type="aff" rid="aff2">2</xref></contrib><contrib contrib-type="author"><name-alternatives><name name-style="eastern"><surname>沈</surname><given-names>爱莲</given-names></name><name name-style="eastern" xml:lang="en"><surname>Shen</surname><given-names>Ailian</given-names></name></name-alternatives><xref ref-type="aff" rid="aff3">3</xref></contrib><contrib contrib-type="author"><name-alternatives><name name-style="eastern"><surname>牡</surname><given-names>丹</given-names></name><name name-style="eastern" xml:lang="en"><surname>Mu</surname><given-names>Dan</given-names></name></name-alternatives><xref ref-type="aff" rid="aff4">4</xref></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern"><surname>赵</surname><given-names>金璇</given-names></name><name name-style="eastern" xml:lang="en"><surname>Zhao</surname><given-names>Jinxuan</given-names></name></name-alternatives><xref ref-type="aff" rid="aff5">5</xref><xref ref-type="corresp" rid="cor1"/><xref ref-type="author-notes" rid="fna2"/></contrib><aff-alternatives id="aff1"><aff><label>1</label><institution>南京大学医学院附属鼓楼医院，结直肠外科</institution>、，<city>南京</city>  <postal-code>210008</postal-code></aff><aff xml:lang="en"><label>1</label><institution>Dept of Colorectal Surgery</institution>，</aff></aff-alternatives><aff-alternatives id="aff5"><aff><label>5</label><institution>南京大学医学院附属鼓楼医院，心血管内科</institution>，<city>南京</city>  <postal-code>210008</postal-code></aff><aff xml:lang="en"><label>5</label><institution>Dept of Cardiology， Nanjing Drum Tower Hospital， The Affiliated Hospital of Nanjing University Medical School</institution>， <city>Nanjing</city>     <postal-code>210008</postal-code></aff></aff-alternatives><aff-alternatives id="aff2"><aff><label>2</label><institution>南京医科大学鼓楼临床 医学院心血管内科</institution>，<city>南京</city>  <postal-code>210008</postal-code></aff><aff xml:lang="en"><label>2</label><institution>Dept of Cardiology， Nanjing Drum Tower Hospital， Clinical College of Nanjing Medical University</institution>， <city>Nanjing</city>     <postal-code>210008</postal-code></aff></aff-alternatives><aff-alternatives id="aff3"><aff><label>3</label><institution>江苏大学鼓楼临床医学院医学影像科</institution>，<city>南京</city>  <postal-code>210008</postal-code></aff><aff xml:lang="en"><label>3</label><institution>Dept of Radiology， Nanjing Drum Tower Hospital， Clinical College of Jiangsu University</institution>， <city>Nanjing</city>     <postal-code>210008</postal-code></aff></aff-alternatives><aff-alternatives id="aff4"><aff><label>4</label><institution>同济大学附属第十人民医院医学影像科</institution>，<city>上海</city>  <postal-code>200072</postal-code></aff><aff xml:lang="en"><label>4</label><institution>Dept of Radiology， Shanghai Tenth People's Hospital， The Affiliated of Tongji University</institution>， <city>Shanghai</city>     <postal-code>200072</postal-code></aff></aff-alternatives></contrib-group><author-notes><corresp xml:lang="en" id="cor1"><named-content content-type="corresp-name">Zhao Jinxuan</named-content>， E-mail： <email>zhaojinxuan@njglyy.com</email></corresp><fn fn-type="other" specific-use="about-author" id="fna1"><p><named-content content-type="corresp-name">程  伟</named-content>，男，主治医师</p></fn><fn fn-type="other" specific-use="about-author" id="fna2"><p><named-content content-type="corresp-name">赵金璇</named-content>，女，博士，副研究员，主治医师，通信作者，E-mail： <email>zhaojinxuan@njglyy.com</email></p></fn></author-notes><pub-date pub-type="epub" iso-8601-date="2026-03-12T14：46：37"><day>12</day><month>03</month><year>2026</year></pub-date><pub-date pub-type="ppub"><day>23</day><month>04</month><year>2026</year></pub-date><volume>61</volume><issue>4</issue><issue-id>15</issue-id><fpage>706</fpage><lpage>714</lpage><page-range>706-714</page-range>  <history><date date-type="received">        <day>16</day><month>02</month><year>2026</year></date></history><abstract abstract-type="key-points"><sec><title>目的</title><p>利用心脏磁共振量化评价心外膜脂肪组织（EAT）各参数对ST段抬高型心肌梗死（STEMI）患者发生微循环阻塞（MVO）的预测价值。</p></sec><sec><title>方法</title><p>共纳入139例STEMI患者，通过心脏磁共振测量EAT厚度、体积、质量指数等参数，根据是否发生MVO分为MVO组和无MVO组，比较两组间EAT相关参数的差异。利用相关性分析评估EAT量化指标与梗死面积、射血分数等指标的相关性。通过Logistic回归分析筛选出MVO的相关危险因素。采用受试者工作特征（ROC）曲线分析EAT质量指数及其他指标对患者 MVO形成的预测作用。</p></sec><sec><title>结果</title><p>与无MVO组相比，MVO组患者的肌钙蛋白T峰值水平更高、中性粒细胞淋巴细胞比率（NLR）和C反应蛋白更高、梗死面积更大，左室射血分数更低（均<italic>P</italic>&lt;0.05）。MVO组患者的左房室沟心外膜脂肪厚度、总EAT体积及质量指数、左心EAT体积与质量指数大于无MVO组（均<italic>P</italic>&lt;0.05）。多变量Logistic回归分析表明，NLR、肌钙蛋白T峰值水平和左心EAT质量指数是MVO形成的独立危险因素。ROC曲线提示左心EAT质量指数对STEMI患者MVO形成的预测效能最大。</p></sec><sec><title>结论</title><p>基于心脏磁共振量化的EAT各项参数可作为预测STEMI患者MVO形成的影像学生物标志物，可用于心梗危险分层，有助于早期识别高危患者并制定个性化的治疗方案。</p></sec></abstract><trans-abstract abstract-type="key-points" xml:lang="en"><sec><title>Objective</title><p>To evaluate the predictive value of epicardial adipose tissue （EAT） parameters for microvascular obstruction （MVO） formation in patients with ST segment elevation myocardial infarction （STEMI） using cardiac magnetic resonance quantification.</p></sec><sec><title>Methods</title><p>A total of 139 STEMI patients were included in this study， and various parameters such as EAT thickness， volume， and mass index were measured utilizing cardiac magnetic resonance. All included patients were divided into MVO group and non-MVO group according to whether MVO occurred. Differences in EAT related parameters between two groups were compared and correlation analysis was applied to evaluate the correlation between quantitative indicators of EAT and indicators such as infarct size and ejection fraction. Logistic regression analysis was used to identify the relevant risk factors for MVO formation. Receiver Operating Characteristic （ROC） curve analysis was performed to assess the predictive value of the epicardial adipose tissue （EAT） quality index and other indicators for the occurrence of MVO.</p></sec><sec><title>Results</title><p>Compared with non MVO group， patients in MVO group presented with higher peak troponin T levels， increase of neutrophil lymphocyte ratio （NLR） and C-reactive protein （CRP）， larger infarct size and compromised left ventricular ejection fraction （LVEF） （<italic>P</italic>&lt;0.05）. Total EAT volume， EAT mass index， left atrioventricular EAT volume， left atrioventricular EAT mass index and thickness of EAT in the left atrioventricular groove were significantly higher in patients with MVO. Multivariate Logistic regression analysis demonstrated that NLR， peak troponin T levels and left atrioventricular EAT mass index were independent predictors of MVO. The ROC curve suggested that the left atrioventricular EAT mass index had the highest predictive power for MVO formation in STEMI patients.</p></sec><sec><title>Conclusion</title><p>The parameters of EAT quantified by cardiac magnetic resonance serve as imaging biomarkers for predicting MVO formation in STEMI patients. These metrics enable risk stratification post-myocardial infarction and facilitate early identification of high-risk individuals， thereby supporting personalized therapeutic decision-making.</p></sec></trans-abstract><kwd-group kwd-group-type="author"><kwd>心外膜脂肪组织</kwd><kwd>微循环阻塞</kwd><kwd>急性心肌梗死</kwd><kwd>心脏磁共振</kwd><kwd>影像学标志物</kwd></kwd-group><kwd-group xml:lang="en" kwd-group-type="author"><kwd>epicardial adipose tissue</kwd><kwd>microvascular obstruction</kwd><kwd>acute myocardial infarction</kwd><kwd>cardiac magnetic resonance</kwd><kwd>imaging biomarker</kwd></kwd-group><funding-group><award-group><funding-source>国家自然科学基金项目</funding-source><award-id>82000264</award-id></award-group><award-group><funding-source>江苏省卫生健康委科研项目</funding-source><award-id>MQ2024049</award-id></award-group><award-group><funding-source>南京市卫生科技发展专项资金项目</funding-source><award-id>JQX22001</award-id></award-group><funding-statement>国家自然科学基金项目（编号：82000264）；江苏省卫生健康委科研项目（编号：MQ2024049）；南京市卫生科技发展专项资金项目（编号：JQX22001）</funding-statement></funding-group><funding-group xml:lang="en"><award-group><funding-source>Fund programs  National Natural Science Foundation of China</funding-source><award-id>82000264</award-id></award-group><award-group><funding-source>Scientific Research Project of Jiangsu Commission of Health</funding-source><award-id>MQ2024049</award-id></award-group><award-group><funding-source>Special Fund Project for Nanjing Municipal Health Science and Technology Development</funding-source><award-id>JQX22001</award-id></award-group><funding-statement>National Natural Science Foundation of China （No. 82000264）； Scientific Research Project of Jiangsu Commission of Health （No. MQ2024049）； Special Fund Project for Nanjing Municipal Health Science and Technology Development （No. JQX22001）</funding-statement></funding-group><counts><fig-count count="5"/><table-count count="5"/><equation-count count="0"/><ref-count count="16"/><page-count count="9"/><word-count count="22116"/></counts><custom-meta-group><custom-meta><meta-name>version</meta-name><meta-value>1.0.0.25071</meta-value></custom-meta><custom-meta><meta-name>structure-time</meta-name><meta-value>2026-05-28T11:37:18</meta-value></custom-meta><custom-meta><meta-name>word-source</meta-name><meta-value>FX</meta-value></custom-meta></custom-meta-group></article-meta></front><body><p>急性心肌梗死是一种威胁全球健康的重要疾病，虽然急诊血运重建显著降低了冠状动脉粥样硬化性心脏病（coronary atherosclerotic heart disease，CAD）急性期病死率，但对患者远期不良预后的改善有限<sup>［<xref ref-type="bibr" rid="R1">1</xref>］</sup>。研究<sup>［<xref ref-type="bibr" rid="R2">2</xref>］</sup>表明，急性心肌梗死血运重建后的心肌微循环阻塞（microvascular obstruction，MVO）会显著削弱再灌注治疗的效果，是影响心梗预后的独立危险因素，及早识别易发生MVO的高危人群对临床治疗和预后判断具有重要意义，但目前缺乏有效的预测指标。</p><p>心外膜脂肪组织（epicardial adipose tissue，EAT）因其特殊解剖位置及生理功能，在心血管疾病中备受关注<sup>［<xref ref-type="bibr" rid="R3">3</xref>］</sup>。既往研究<sup>［<xref ref-type="bibr" rid="R4">4</xref>］</sup>中多用超声或CT评估EAT，结果提示EAT增多与心梗后心血管不良事件、心梗面积及心肌纤维化呈正相关，而部分利用心脏磁共振（cardiac magnetic resonance， CMR）评估EAT的研究却得出相反的结论<sup>［<xref ref-type="bibr" rid="R5">5</xref>］</sup>。故亟需利用新的方法对急性心肌梗死患者EAT特征进行全方位分析以阐明其在急性心肌梗死中的病理意义和临床价值。该研究通过分析急性心肌梗死患者基于CMR测量的EAT分布、体积及质量指数等指标与MVO形成的相关性，评估其作为预测标志物的潜在价值。</p><sec id="s1"><label>1</label><title>材料与方法</title><sec id="s1a"><label>1.1</label><title>病例资料</title><p specific-use="noneIndent">本研究为单中心回顾性研究，筛选2018年7月—2022年1月在南京鼓楼医院首次确诊为ST段抬高型心肌梗死（ST segment elevation myocardial infarction， STEMI），并接受急诊血运重建治疗及CMR检查的患者共计156例。纳入标准：① 年龄≥18岁，符合2019年《中国急性ST段抬高型心肌梗死诊断和治疗指南》；② 发病12 h内接受急诊经皮冠状动脉介入治疗（percutaneous coronary intervention， PCI）。排除标准：① 年龄&gt;85岁；② 有心源性休克；③ 有持续的室速或室颤；④ 肾小球滤过率&lt;30 mL /（min·1.73 mm<sup>2</sup>）；⑤ 有CMR禁忌证或拒绝行CMR检查；⑥ 临床资料缺失或CMR图像不清晰。该研究经南京大学医学院附属鼓楼医院伦理委员会批准（编号：2024-507-01）。最终共有139例患者被纳入研究，其中男性117例，女性22例，年龄31~85（61.32±12.32）岁。所有纳入者对本研究均知情并签署知情同意书。</p></sec><sec id="s1b"><label>1.2</label><title>方法</title><sec id="s1b1"><label>1.2.1</label><title>临床资料收集</title><p specific-use="noneIndent">通过医院HIS系统导入、问卷调查等方法收集所有患者的临床病史信息数据，包括基线临床特征、心血管危险因素、心血管疾病相关用药史、Killip分级、入院时生命体征、实验室检查数据、血管造影相关资料等。通过CMR对MVO进行可视化和量化评估，根据MVO的存在与否将患者分为MVO组和无MVO组。所有患者均给予指南规定的标准化治疗方案。</p></sec><sec id="s1b2"><label>1.2.2</label><title>实验室检查</title><p specific-use="noneIndent">患者急诊PCI术前行急诊血常规、肌钙蛋白T （troponin T，TnT） 和脑钠肽 （brain natriuretic peptide，BNP） 等指标检测，并于急诊PCI术后6 h复测TnT、BNP指标，之后每日评估直至患者出院。在急诊PCI术后第1天，于南京鼓楼医院中心实验室采用标准实验室方法进行了常规血液检测，包括空腹血糖、糖化血红蛋白、肌酐、血脂谱和C反应蛋白 （C-reactive protein，CRP）。</p></sec><sec id="s1b3"><label>1.2.3</label><title>冠脉造影分析</title><p specific-use="noneIndent">所有冠状动脉造影结果均由2名经验丰富的介入心脏病学专家独立分析，且其对患者的CMR结果不知情。记录参数包括：梗死相关血管、支架相关参数、首次医疗接触（first medical contact，FCM）至导丝通过时间（FMC-to-wire time）及心肌梗死溶栓治疗（thrombolysis in myocardial infarction，TIMI）血流分级。冠状动脉粥样硬化病变的复杂程度和血管受累范围采用Syntax评分进行评分。该评分是基于病变的血管造影评分系统，通过其官方网站（<ext-link ext-link-type="uri" xlink:href="http://www.syntaxscore.com">http：//www.syntaxscore.com</ext-link>）提供的在线计算工具获得。</p></sec><sec id="s1b4"><label>1.2.4</label><title>CMR检查</title><p specific-use="noneIndent">所有患者于入院后（4.9±1.9）d内接受CMR检查（Philips全数字化3.0 Ingenia磁共振检查系统）。扫描方案是根据心血管磁共振学会的指导方针进行的。首先进行常规的多位置自旋回波（multi-position spin-echo， SE）序列扫描（切片厚度：7 mm；切片间隙：2.5 mm）。然后进行电影序列扫描，包括四腔心、三腔心、二腔心的长轴位和短轴位，回声时间：1.47 ms；重复时间：2.9 ms；翻转角度：45°。对于延迟增强成像，静脉注射钆双胺造影剂 （爱尔兰GE Healthcare公司；0.3 mmol/kg；速度：2.0 m/s），10 min后行相位敏感反转恢复快速小角度激发序列扫描，获取心肌延迟增强扫描图像（翻转角度：25°；TI： 260~350 ms；TR/TE：6/3 m）。在对比剂给药前，屏气，采集T1、T2及T2<sup>∗</sup>自旋回波图像。</p></sec><sec id="s1b5"><label>1.2.5</label><title>CMR图像分析</title><p specific-use="noneIndent">所有磁共振图像由2名具有3年以上CMR影像研究经验的心血管影像专科医师采用Q-MASS MR 8.1软件（荷兰莱顿Medis公司）独立完成，其对患者的血管造影及临床信息均不知情。随机挑选50例患者，使用组内相关系数（interclass correlation coefficient， ICC）评估两者测量的一致性（EAT厚度ICC=0.955，EAT体积ICC=0.97）。通过描记左心室短轴位图像收缩末期与舒张末期的心内膜及心外膜轮廓，测量左心室（left ventricular，LV）收缩末期容积指数（end-systolic volume index，LVESVI）、左心室舒张末期容积指数（end-diastolic volume index，LVEDVI）和左心室射血分数（ejection fraction，LVEF）。如<xref ref-type="fig" rid="F1">图１</xref>所示，位于心肌外层与脏层心包间的脂肪组织定义为EAT区域，有关EAT的测量均于舒张末期测量。晚期钆增强（late gadolinium enhancement，LGE）图像中，高强化区界定为梗死区，其内部的低强化区定义为MVO区域。心外膜脂肪的测量参数包括：长轴层面左房室沟、右房室沟、前室间沟的EAT厚度以及基底短轴切面图像下室间沟和上室间沟的EAT厚度。右室游离壁的EAT厚度为3次测量的平均值<sup>［<xref ref-type="bibr" rid="R6">6</xref>］</sup>。在标准化的心室短轴切面（基底段、中段和心尖段水平）以及水平长轴切面上测量EAT的代表性横截面积。通过手动描记连续短轴切面图像中的EAT区域，并将其乘以层厚，以计算EAT体积。依据既往研究将EAT体积乘以系数0.919 6 g/cm³以获得EAT的质量<sup>［<xref ref-type="bibr" rid="R7">7</xref>］</sup>，通过将EAT质量除以体表面积（body surface area， BSA）得出EAT的质量指数（g/m²）。应变参数，包括整体纵向应变（global longitudinal strain， GLS）、整体周向应变（global circumferential strain， GCS）及整体径向应变（global radial strain， GRS）的测量是基于短轴位及长轴位图像，采用标准17节段心肌模型，计算各节段于心动周期内的峰值应变值的平均值。</p><fig position="float" id="F1"><object-id pub-id-type="doi">10.19405/j.cnki.issn1000–1492.2026.04.015.F001</object-id><label>图1</label><caption><title>EAT厚度测量示意图及LGE代表图</title></caption><abstract abstract-type="caption" xml:lang="en"><label>Fig.1</label><title>Representative images of EAT thickness measurement and LGE of STEMI patients</title></abstract><abstract abstract-type="note"><p>A： Measurements of EAT thickness in the grooved segments at three different locations in the horizontal long-axis plane （left AV groove， right AV groove and anterior IV groove）； B： Measurements of EAT thickness in the grooved segments at three locations in the short-axis plane （superior IV groove， inferior IV groove and the right ventricular free wall）； C： Representative LGE images showing the absence of MVO in STEMI patients； D： Representative LGE images showing the presence of MVO in STEMI patients.</p></abstract><alternatives><graphic specific-use="print" xlink:href="media/744C33E2-F3D3-4737-BEA1-8015185C0107-F001.eps" id="Graphic1"><?fx-imagestate width="75.49445343" height="54.32777405"?></graphic><graphic specific-use="big" xlink:href="alternativeImage/744C33E2-F3D3-4737-BEA1-8015185C0107-F001.jpg"><?fx-imagestate width="75.49445343" height="54.32777405"?></graphic><graphic specific-use="small" xlink:href="alternativeImage/744C33E2-F3D3-4737-BEA1-8015185C0107-F001c.jpg"><?fx-imagestate width="75.49445343" height="54.32777405"?></graphic></alternatives></fig></sec></sec><sec id="s1c"><label>1.3</label><title>统计学处理</title><p specific-use="noneIndent">采用Shapiro-Wilk检验评估计量资料的正态性，正态分布数据以<inline-formula><alternatives><mml:math id="M1"><mml:mover accent="true"><mml:mi>x</mml:mi><mml:mo>¯</mml:mo></mml:mover></mml:math><graphic specific-use="big" xlink:href="alternativeImage/744C33E2-F3D3-4737-BEA1-8015185C0107-M001.jpg"><?fx-imagestate width="1.77800000" height="2.62466669"?></graphic><graphic specific-use="small" xlink:href="alternativeImage/744C33E2-F3D3-4737-BEA1-8015185C0107-M001c.jpg"><?fx-imagestate width="1.77800000" height="2.62466669"?></graphic></alternatives></inline-formula>±<italic>s</italic>表示，两组间采用<italic>t</italic>检验进行比较。非正态分布变量采用中位数及四分位数表示，两组间采用秩和检验进行比较。分类变量以频数或百分比表示，通过卡方检验或Fisher确切概率检验进行组间比较。采用Pearson或Spearman相关性分析评估EAT参数与其他定量变量之间的相关性。结合文献<sup>［<xref ref-type="bibr" rid="R8">8</xref>］</sup>方法采用二元Logistic回归分析评估临床协变量与MVO形成之间的关联，结果以比值比<italic>OR</italic>和95% <italic>CI</italic>表示）。单因素分析中<italic>P</italic>&lt;0.10的变量进一步纳入多因素分析。采用受试者工作特征（receiver-operating characteristic，ROC）曲线分析评估EAT体积参数对MVO形成的预测能力。所有统计分析均使用SPSS 23.0版（美国IBM公司）和 MedCalc 20.1版（比利时MedCalc公司）进行分析。双侧<italic>P</italic>&lt;0.05为差异有统计学意义。</p></sec></sec><sec id="s2"><label>2</label><title>结果</title><sec id="s2a"><label>2.1</label><title>两组间的基线资料比较</title><p specific-use="noneIndent">最终纳入139例患者，根据是否存在MVO分为2组，其中有MVO组85例，无MVO组54例。2组的基线特征及临床资料见<xref ref-type="table" rid="T1">表1</xref>。2组患者的年龄、性别构成比、体质量指数、BSA、高血压、吸烟史、CAD家族史、高脂血症、入院时的生命体征、Killip分级及入院后药物治疗方案等差异无统计学意义。MVO组合并糖尿病的比例高于无MVO组（<italic>P</italic>&lt;0.05）。</p><table-wrap id="T1"><object-id pub-id-type="doi">10.19405/j.cnki.issn1000–1492.2026.04.015.T001</object-id><label>表1</label><caption><p>两组临床基线资料比较 ［<italic>n</italic> （%），<inline-formula><alternatives><mml:math id="M2"><mml:mover accent="true"><mml:mi>x</mml:mi><mml:mo>¯</mml:mo></mml:mover></mml:math><graphic specific-use="big" xlink:href="alternativeImage/744C33E2-F3D3-4737-BEA1-8015185C0107-M002.jpg"><?fx-imagestate width="1.35466671" height="2.03200006"?></graphic><graphic specific-use="small" xlink:href="alternativeImage/744C33E2-F3D3-4737-BEA1-8015185C0107-M002c.jpg"><?fx-imagestate width="1.35466671" height="2.03200006"?></graphic></alternatives></inline-formula>±<italic>s</italic>］</p></caption><abstract abstract-type="caption" xml:lang="en"><label>Tab.1</label><title>Comparison of clinical baseline characteristics between the two groups ［<italic>n</italic> （%），<inline-formula><alternatives><mml:math id="M3"><mml:mover accent="true"><mml:mi>x</mml:mi><mml:mo>¯</mml:mo></mml:mover></mml:math><graphic specific-use="big" xlink:href="alternativeImage/744C33E2-F3D3-4737-BEA1-8015185C0107-M002.jpg"><?fx-imagestate width="1.35466671" height="2.03200006"?></graphic><graphic specific-use="small" xlink:href="alternativeImage/744C33E2-F3D3-4737-BEA1-8015185C0107-M002c.jpg"><?fx-imagestate width="1.35466671" height="2.03200006"?></graphic></alternatives></inline-formula>±<italic>s</italic>］</title></abstract><alternatives><table id="Table1"><thead><tr><th align="left" style="border-top:solid;border-bottom:solid;">Parameter</th><th align="center" style="border-top:solid;border-bottom:solid;">Non-MVO group （<italic>n</italic>=54）</th><th align="center" style="border-top:solid;border-bottom:solid;">MVO group （<italic>n</italic>=85）</th><th align="center" style="border-top:solid;border-bottom:solid;"><italic>P </italic>value</th></tr></thead><tbody><tr align="center"><td align="left">Age （years）</td><td align="center">59.37±12.79</td><td align="center">62.55±11.91</td><td align="center">0.138</td></tr><tr align="center"><td align="left">Male</td><td align="center">45 （83.33）</td><td align="center">72 （84.71）</td><td align="center">0.829</td></tr><tr align="center"><td align="left">BMI （kg/m<sup>2</sup>）</td><td align="center">25.07±2.43</td><td align="center">24.97±3.06</td><td align="center">0.828</td></tr><tr align="center"><td align="left">BSA （m<sup>2</sup>）</td><td align="center">1.83±0.12</td><td align="center">1.81±0.13</td><td align="center">0.299</td></tr><tr align="center"><td align="left">Arterial hypertension</td><td align="center">26 （48.15）</td><td align="center">45 （52.94）</td><td align="center">0.582</td></tr><tr align="center"><td align="left">Diabetes mellitus</td><td align="center">13 （24.07）</td><td align="center">36 （42.35）</td><td align="center">0.028</td></tr><tr align="center"><td align="left">Smoking</td><td align="center">33 （61.11）</td><td align="center">48 （56.47）</td><td align="center">0.589</td></tr><tr align="center"><td align="left">Family history of CAD</td><td align="center">3 （5.56）</td><td align="center">3 （3.53）</td><td align="center">0.567</td></tr><tr align="center"><td align="left">Hypercholesterolemia</td><td align="center">18 （33.33）</td><td align="center">26 （30.59）</td><td align="center">0.735</td></tr><tr align="center"><td align="left">Clinical signs and symptoms of angina before myocardial infarction</td><td align="center">16 （29.63）</td><td align="center">24 （28.24）</td><td align="center">0.860</td></tr><tr align="center"><td align="left">Prior cerebral infarction</td><td align="center">3 （5.56）</td><td align="center">3（3.53）</td><td align="center">0.567</td></tr><tr align="center"><td align="left">Previous stent implantation</td><td align="center">3 （5.56）</td><td align="center">3 （3.53）</td><td align="center">0.567</td></tr><tr align="center"><td align="left">Systolic blood pressure（mmHg）</td><td align="center">128±21</td><td align="center">126±20</td><td align="center">0.640</td></tr><tr align="center"><td align="left">Diastolic blood pressure（mmHg）</td><td align="center">82±13</td><td align="center">82±13</td><td align="center">0.989</td></tr><tr align="center"><td align="left">Heart rate（bpm）</td><td align="center">81±16</td><td align="center">83±18</td><td align="center">0.519</td></tr><tr align="center"><td align="left">Killip classification</td><td align="left"/><td align="left"/><td align="left"/></tr><tr align="center"><td align="left" style="text-indent:1em;">Class Ⅰ</td><td align="center">47 （87.04）</td><td align="center">72 （84.71）</td><td align="center">0.703</td></tr><tr align="center"><td align="left" style="text-indent:1em;">Class Ⅱ</td><td align="center">6 （11.11）</td><td align="center">8 （9.41）</td><td align="center">0.746</td></tr><tr align="center"><td align="left" style="text-indent:1em;">Class Ⅲ</td><td align="center">1 （1.85）</td><td align="center">2 （2.35）</td><td align="center">0.843</td></tr><tr align="center"><td align="left" style="text-indent:1em;">Class Ⅳ</td><td align="center">0</td><td align="center">3 （3.53）</td><td align="center">0.163</td></tr><tr align="center"><td align="left">Medication after infarction</td><td align="left"/><td align="left"/><td align="left"/></tr><tr align="center"><td align="left" style="text-indent:1em;">Aspirin</td><td align="center">54 （100.00）</td><td align="center">85 （100.00）</td><td align="center">1.000</td></tr><tr align="center"><td align="left" style="text-indent:1em;">Clopidogrel</td><td align="center">14 （25.93）</td><td align="center">24 （28.24）</td><td align="center">0.766</td></tr><tr align="center"><td align="left" style="text-indent:1em;">Ticagrelor</td><td align="center">40 （74.07）</td><td align="center">61 （71.76）</td><td align="center">0.766</td></tr><tr align="center"><td align="left" style="text-indent:1em;">Statins</td><td align="center">53 （98.15）</td><td align="center">85 （100.00）</td><td align="center">0.208</td></tr><tr align="center"><td align="left" style="text-indent:1em;">β-blocker</td><td align="center">34 （62.96）</td><td align="center">63 （74.12）</td><td align="center">0.163</td></tr><tr align="center"><td align="left" style="text-indent:1em;">Nitrate</td><td align="center">35 （64.81）</td><td align="center">61 （71.76）</td><td align="center">0.388</td></tr><tr align="center"><td align="left" style="border-bottom:solid;text-indent:1em;">ACEI/ARB</td><td align="center" style="border-bottom:solid;">35 （64.81）</td><td align="center" style="border-bottom:solid;">56 （65.88）</td><td align="center" style="border-bottom:solid;">0.897</td></tr></tbody></table><graphic specific-use="big" xlink:href="alternativeImage/744C33E2-F3D3-4737-BEA1-8015185C0107-T001.jpg"><?fx-imagestate width="169.79998779" height="150.79995728"?></graphic><graphic specific-use="small" xlink:href="alternativeImage/744C33E2-F3D3-4737-BEA1-8015185C0107-T001c.jpg"><?fx-imagestate width="169.79998779" height="150.79995728"?></graphic></alternatives></table-wrap></sec><sec id="s2b"><label>2.2</label><title>两组间的实验室检查及造影资料比较</title><p specific-use="noneIndent">在实验室参数方面，仅中性粒细胞淋巴细胞比值 （neutrophil lymphocyte ratio，NLR）、CRP及TnT峰值在两组间存在统计学差异。与无MVO组相比，MVO组NLR （<italic>P</italic>&lt;0.001） 和CRP （<italic>P</italic>=0.040） 水平更高，提示MVO患者炎症反应更为剧烈。在血管造影特征方面，犯罪血管、Syntax评分、FMC-to-wire time、TIMI血流分级以及侧支循环形成情况在两组间均无显著差异。此外，支架植入的数量、直径及长度与MVO形成也无显著相关性。见<xref ref-type="table" rid="T2">表2</xref>。</p><table-wrap id="T2"><object-id pub-id-type="doi">10.19405/j.cnki.issn1000–1492.2026.04.015.T002</object-id><label>表2</label><caption><p>两组实验室检查与血管造影资料比较 ［<italic>n</italic> （%），<inline-formula><alternatives><mml:math id="M4"><mml:mover accent="true"><mml:mi>x</mml:mi><mml:mo>¯</mml:mo></mml:mover></mml:math><graphic specific-use="big" xlink:href="alternativeImage/744C33E2-F3D3-4737-BEA1-8015185C0107-M002.jpg"><?fx-imagestate width="1.35466671" height="2.03200006"?></graphic><graphic specific-use="small" xlink:href="alternativeImage/744C33E2-F3D3-4737-BEA1-8015185C0107-M002c.jpg"><?fx-imagestate width="1.35466671" height="2.03200006"?></graphic></alternatives></inline-formula>±<italic>s</italic>］</p></caption><abstract abstract-type="caption" xml:lang="en"><label>Tab.2</label><title>Comparison of laboratory and angiographic characteristics between the two groups ［<italic>n</italic> （%），<inline-formula><alternatives><mml:math id="M5"><mml:mover accent="true"><mml:mi>x</mml:mi><mml:mo>¯</mml:mo></mml:mover></mml:math><graphic specific-use="big" xlink:href="alternativeImage/744C33E2-F3D3-4737-BEA1-8015185C0107-M002.jpg"><?fx-imagestate width="1.35466671" height="2.03200006"?></graphic><graphic specific-use="small" xlink:href="alternativeImage/744C33E2-F3D3-4737-BEA1-8015185C0107-M002c.jpg"><?fx-imagestate width="1.35466671" height="2.03200006"?></graphic></alternatives></inline-formula>±<italic>s</italic>］</title></abstract><alternatives><table id="Table2"><thead><tr><th align="left" style="border-top:solid;border-bottom:solid;">Parameter</th><th align="center" style="border-top:solid;border-bottom:solid;">Non-MVO group （<italic>n</italic>=54）</th><th align="center" style="border-top:solid;border-bottom:solid;">MVO group （<italic>n</italic>=85）</th><th align="center" style="border-top:solid;border-bottom:solid;"><italic>P</italic> value</th></tr></thead><tbody><tr align="center"><td align="left">Hemoglobin （g/L）</td><td align="center">143.00±14.86</td><td align="center">143.10±18.55</td><td align="center">0.671</td></tr><tr align="center"><td align="left">WBC （×10<sup>9</sup>/L）</td><td align="center">10.20±2.47</td><td align="center">10.41±3.01</td><td align="center">0.804</td></tr><tr align="center"><td align="left">Neutrophil （×10<sup>9</sup>/L）</td><td align="center">7.34±2.56</td><td align="center">7.95±2.84</td><td align="center">0.200</td></tr><tr align="center"><td align="left">NLR</td><td align="center">4.43±2.30</td><td align="center">6.19±2.31</td><td align="center">&lt;0.001</td></tr><tr align="center"><td align="left">CRP （mmol/L）</td><td align="center">5.06±2.26</td><td align="center">6.04±2.68</td><td align="center">0.040</td></tr><tr align="center"><td align="left">Platelet （×10<sup>9</sup>/L）</td><td align="center">221.50±53.83</td><td align="center">211.40±79.34</td><td align="center">0.118</td></tr><tr align="center"><td align="left">Total cholesterol （mmol/L）</td><td align="center">4.59±1.03</td><td align="center">4.57±1.07</td><td align="center">1.000</td></tr><tr align="center"><td align="left">LDL-C （mmol/L）</td><td align="center">2.93±0.96</td><td align="center">2.79±0.93</td><td align="center">0.366</td></tr><tr align="center"><td align="left">Creatinine （μmol/L）</td><td align="center">71.19±15.39</td><td align="center">70.36±17.44</td><td align="center">0.775</td></tr><tr align="center"><td align="left">Peak BNP （pg/mL）</td><td align="center">163.50±261.80</td><td align="center">184.70±237.20</td><td align="center">0.219</td></tr><tr align="center"><td align="left">Baseline TnT （μg/L）</td><td align="center">1.57±2.47</td><td align="center">2.42±3.15</td><td align="center">0.162</td></tr><tr align="center"><td align="left">Peak troponin T （μg/L）</td><td align="center">3.67±2.51</td><td align="center">5.32±2.58</td><td align="center">&lt;0.001</td></tr><tr align="center"><td align="left">HbA1c （%）</td><td align="center">6.09±1.09</td><td align="center">6.32±1.43</td><td align="center">0.132</td></tr><tr align="center"><td align="left">Fasting glucose （mmol/L）</td><td align="center">5.98±2.43</td><td align="center">6.33±2.29</td><td align="center">0.138</td></tr><tr align="center"><td align="left">Infarct-related artery</td><td align="left"/><td align="left"/><td align="left"/></tr><tr align="center"><td align="left" style="text-indent:1em;">Left anterior descending artery</td><td align="center">25 （46.30）</td><td align="center">48（56.47）</td><td align="center">0.242</td></tr><tr align="center"><td align="left" style="text-indent:1em;">Right coronary artery</td><td align="center">21 （38.89）</td><td align="center">27 （31.76）</td><td align="center">0.389</td></tr><tr align="center"><td align="left" style="text-indent:1em;">Left circumflex artery</td><td align="center">8 （14.81）</td><td align="center">10 （11.77）</td><td align="center">0.602</td></tr><tr align="center"><td align="left">Multivessel disease</td><td align="center">3 （5.56）</td><td align="center">2 （2.35）</td><td align="center">0.377</td></tr><tr align="center"><td align="left">Symptom-onset-to-balloon time （h）</td><td align="center">6.43±5.69</td><td align="center">7.54±8.45</td><td align="center">0.174</td></tr><tr align="center"><td align="left">FMC to wire time （h）</td><td align="center">2.17±1.42</td><td align="center">2.76±1.91</td><td align="center">0.067</td></tr><tr align="center"><td align="left">Initial TIMI flow grade &gt;1</td><td align="center">13 （24.07）</td><td align="center">15 （17.65）</td><td align="center">0.357</td></tr><tr align="center"><td align="left">Final TIMI flow grade 3</td><td align="center">48 （88.89）</td><td align="center">74 （87.06）</td><td align="center">0.748</td></tr><tr align="center"><td align="left">Syntax score （points）</td><td align="center">14.94±8.86</td><td align="center">16.68±7.50</td><td align="center">0.065</td></tr><tr align="center"><td align="left">Stent implantation</td><td align="center">49 （90.74）</td><td align="center">80 （94.12）</td><td align="center">0.453</td></tr><tr align="center"><td align="left">No. of stent per patients</td><td align="center">1.17±0.67</td><td align="center">1.24±0.57</td><td align="center">0.310</td></tr><tr align="center"><td align="left">Stent length （mm）</td><td align="center">33.86±16.82</td><td align="center">34.35±14.62</td><td align="center">0.658</td></tr><tr align="center"><td align="left">Stent diameter （mm）</td><td align="center">3.05±0.45</td><td align="center">3.07±0.45</td><td align="center">0.989</td></tr><tr align="center"><td align="left" style="border-bottom:solid;">Collateral circulation</td><td align="center" style="border-bottom:solid;">6 （11.11）</td><td align="center" style="border-bottom:solid;">9 （10.59）</td><td align="center" style="border-bottom:solid;">0.923</td></tr></tbody></table><graphic specific-use="big" xlink:href="alternativeImage/744C33E2-F3D3-4737-BEA1-8015185C0107-T002.jpg"><?fx-imagestate width="169.79998779" height="137.81993103"?></graphic><graphic specific-use="small" xlink:href="alternativeImage/744C33E2-F3D3-4737-BEA1-8015185C0107-T002c.jpg"><?fx-imagestate width="169.79998779" height="137.81993103"?></graphic></alternatives></table-wrap></sec><sec id="s2c"><label>2.3</label><title>两组间的CMR相关参数比较</title><p specific-use="noneIndent">在CMR各项参数中，与无MVO组相比，MVO组具有更大的梗死面积（<italic>P</italic>&lt;0.001）、LVEDVI（<italic>P</italic>&lt;0.001）和LVESVI（<italic>P</italic>&lt;0.001）以及更低的LVEF（<italic>P</italic>&lt;0.001）；而在应变分析中，与无MVO组比较，MVO组的 GLS%（<italic>P</italic>&lt;0.001）、GCS%（<italic>P</italic>&lt;0.001）以及GRS%（<italic>P</italic>&lt;0.001）均减弱（<xref ref-type="table" rid="T3">表3</xref>）。以上结果提示存在MVO的患者往往具有更大的梗死面积、更差的心功能及左室应变。</p><table-wrap id="T3"><object-id pub-id-type="doi">10.19405/j.cnki.issn1000–1492.2026.04.015.T003</object-id><label>表3</label><caption><p>两组CMR数据及心外膜脂肪量化指标比较 （<inline-formula><alternatives><mml:math id="M6"><mml:mover accent="true"><mml:mi>x</mml:mi><mml:mo>¯</mml:mo></mml:mover></mml:math><graphic specific-use="big" xlink:href="alternativeImage/744C33E2-F3D3-4737-BEA1-8015185C0107-M006.jpg"><?fx-imagestate width="1.35466671" height="2.03200006"?></graphic><graphic specific-use="small" xlink:href="alternativeImage/744C33E2-F3D3-4737-BEA1-8015185C0107-M006c.jpg"><?fx-imagestate width="1.35466671" height="2.03200006"?></graphic></alternatives></inline-formula>±<italic>s</italic>）</p></caption><abstract abstract-type="caption" xml:lang="en"><label>Tab.3</label><title>Comparison of CMR data and epicardial fat quantification indices between the two groups （<inline-formula><alternatives><mml:math id="M7"><mml:mover accent="true"><mml:mi>x</mml:mi><mml:mo>¯</mml:mo></mml:mover></mml:math><graphic specific-use="big" xlink:href="alternativeImage/744C33E2-F3D3-4737-BEA1-8015185C0107-M006.jpg"><?fx-imagestate width="1.35466671" height="2.03200006"?></graphic><graphic specific-use="small" xlink:href="alternativeImage/744C33E2-F3D3-4737-BEA1-8015185C0107-M006c.jpg"><?fx-imagestate width="1.35466671" height="2.03200006"?></graphic></alternatives></inline-formula>±<italic>s</italic>）</title></abstract><alternatives><table id="Table3"><thead><tr><th align="left" style="border-top:solid;border-bottom:solid;">Parameter</th><th align="center" style="border-top:solid;border-bottom:solid;">Non-MVO group（<italic>n</italic>=54）</th><th align="center" style="border-top:solid;border-bottom:solid;">MVO group（<italic>n</italic>=85）</th><th align="center" style="border-top:solid;border-bottom:solid;"><italic>P</italic> value</th></tr></thead><tbody><tr align="center"><td align="left">LVEF （%）</td><td align="center">54.67±7.24</td><td align="center">43.29±9.78</td><td align="center">&lt;0.001</td></tr><tr align="center"><td align="left">CO （L/min）</td><td align="center">3.51±0.82</td><td align="center">3.44±0.94</td><td align="center">0.654</td></tr><tr align="center"><td align="left">LVDd （cm）</td><td align="center">5.31±0.48</td><td align="center">5.37±0.48</td><td align="center">0.507</td></tr><tr align="center"><td align="left">LVEDVI （mL/m<sup>2</sup>）</td><td align="center">54.11±14.50</td><td align="center">64.44±15.23</td><td align="center">&lt;0.001</td></tr><tr align="center"><td align="left">LVESVI （mL/m<sup>2</sup>）</td><td align="center">24.84±8.92</td><td align="center">36.97±12.25</td><td align="center">&lt;0.001</td></tr><tr align="center"><td align="left">Infarct size （%）</td><td align="center">10.90±4.72</td><td align="center">24.49±10.19</td><td align="center">&lt;0.001</td></tr><tr align="center"><td align="left">MVO size （%）</td><td align="center">0±0</td><td align="center">2.99±2.71</td><td align="center">&lt;0.001</td></tr><tr align="center"><td align="left">GRS （%）</td><td align="center">48.86±16.34</td><td align="center">37.85±15.57</td><td align="center">&lt;0.001</td></tr><tr align="center"><td align="left">GCS （%）</td><td align="center">-21.25±4.77</td><td align="center">-14.91±5.21</td><td align="center">&lt;0.001</td></tr><tr align="center"><td align="left">GLS （%）</td><td align="center">-21.02±9.13</td><td align="center">-15.50±7.26</td><td align="center">&lt;0.001</td></tr><tr align="center"><td align="left">EAT thickness （mm）</td><td align="left"/><td align="left"/><td align="left"/></tr><tr align="center"><td align="left" style="text-indent:1em;">Right ventricular free wall</td><td align="center">5.25±0.66</td><td align="center">5.46±0.77</td><td align="center">0.107</td></tr><tr align="center"><td align="left" style="text-indent:1em;">Horizontal long-axis plane</td><td align="left"/><td align="left"/><td align="left"/></tr><tr align="center"><td align="left" style="text-indent:2em;">Left atrioventricular groove （mm）</td><td align="center">10.31±1.31</td><td align="center">11.86±1.46</td><td align="center">&lt;0.001</td></tr><tr align="center"><td align="left" style="text-indent:2em;">Right atrioventricular groove （mm）</td><td align="center">12.84±1.46</td><td align="center">13.17±1.62</td><td align="center">0.222</td></tr><tr align="center"><td align="left" style="text-indent:2em;">Anterior interventricular groove （mm）</td><td align="center">6.67±1.07</td><td align="center">6.82±1.24</td><td align="center">0.465</td></tr><tr align="center"><td align="left" style="text-indent:1em;">Basal short-axis plane</td><td align="left"/><td align="left"/><td align="left"/></tr><tr align="center"><td align="left" style="text-indent:2em;">Superior interventricular groove （mm）</td><td align="center">9.45±1.43</td><td align="center">9.78±1.17</td><td align="center">0.134</td></tr><tr align="center"><td align="left" style="text-indent:2em;">Inferior interventricular groove （mm）</td><td align="center">6.10±0.67</td><td align="center">6.26±1.23</td><td align="center">0.364</td></tr><tr align="center"><td align="left" style="text-indent:2em;">Mean grooved segments （mm）</td><td align="center">9.11±0.65</td><td align="center">9.58±0.77</td><td align="center">&lt;0.001</td></tr><tr align="center"><td align="left">EAT cross-sectional area （cm<sup>2</sup>）</td><td align="left"/><td align="left"/><td align="left"/></tr><tr align="center"><td align="left" style="text-indent:1em;">Horizontal long-axis plane</td><td align="center">11.47±2.15</td><td align="center">11.30±2.13</td><td align="center">0.641</td></tr><tr align="center"><td align="left" style="text-indent:1em;">Short-axis plane</td><td align="left"/><td align="left"/><td align="left"/></tr><tr align="center"><td align="left" style="text-indent:2em;">Basal （cm<sup>2</sup>）</td><td align="center">8.33±2.00</td><td align="center">10.01±2.31</td><td align="center">&lt;0.001</td></tr><tr align="center"><td align="left" style="text-indent:2em;">Mid-cavity （cm<sup>2</sup>）</td><td align="center">6.87±1.58</td><td align="center">7.39±1.64</td><td align="center">0.069</td></tr><tr align="center"><td align="left" style="text-indent:2em;">Apical （cm<sup>2</sup>）</td><td align="center">4.42±1.34</td><td align="center">4.29±1.36</td><td align="center">0.572</td></tr><tr align="center"><td align="left" style="text-indent:2em;">Mean （cm<sup>2</sup>）</td><td align="center">6.54±1.37</td><td align="center">7.23±1.41</td><td align="center">0.005</td></tr><tr align="center"><td align="left">LV EAT volume （cm³）</td><td align="center">37.13±7.51</td><td align="center">48.56±9.82</td><td align="center">&lt;0.001</td></tr><tr align="center"><td align="left">EAT volume （cm³）</td><td align="center">54.91±10.46</td><td align="center">70.19±15.31</td><td align="center">&lt;0.001</td></tr><tr align="center"><td align="left">LV EAT mass index （g/m<sup>2</sup>）</td><td align="center">18.65±3.67</td><td align="center">24.81±5.08</td><td align="center">&lt;0.001</td></tr><tr align="center"><td align="left" style="border-bottom:solid;">EAT mass index （g/m<sup>2</sup>）</td><td align="center" style="border-bottom:solid;">27.58±5.03</td><td align="center" style="border-bottom:solid;">35.84±7.78</td><td align="center" style="border-bottom:solid;">&lt;0.001</td></tr></tbody></table><graphic specific-use="big" xlink:href="alternativeImage/744C33E2-F3D3-4737-BEA1-8015185C0107-T003.jpg"><?fx-imagestate width="169.79998779" height="147.00793457"?></graphic><graphic specific-use="small" xlink:href="alternativeImage/744C33E2-F3D3-4737-BEA1-8015185C0107-T003c.jpg"><?fx-imagestate width="169.79998779" height="147.00793457"?></graphic></alternatives></table-wrap></sec><sec id="s2d"><label>2.4</label><title>两组间的EAT相关参数比较</title><p specific-use="noneIndent">与无MVO组相比，MVO组左房室沟EAT厚度增加（<italic>P</italic>&lt;0.001），而其他区域的EAT厚度测量值在两组间差异无统计学意义。此外，MVO组患者基底段EAT横截面积（<italic>P</italic>&lt;0.001）及短轴层面平均EAT横截面积（<italic>P</italic>=0.005）均大于无MVO组。进一步计算EAT总体积及左心EAT体积，结果显示，相较于无MVO组，MVO组患者EAT总体积（<italic>P</italic>&lt;0.001）和左心EAT体积（<italic>P</italic>&lt;0.001）均增大（<xref ref-type="table" rid="T3">表3</xref>）。经体表面积校正后计算EAT质量指数及左心EAT质量指数。结果显示，MVO组与无MVO组间的EAT质量指数及左心EAT质量指数差异仍具有统计学意义（<xref ref-type="table" rid="T3">表3</xref>）。采用四分位法将患者按EAT体积或左心EAT体积分为4组（<xref ref-type="fig" rid="F2">图2</xref>），EAT体积最大组的MVO发生率最高，显著高于EAT体积最小组。相关性分析显示，在STEMI患者中，EAT质量指数与梗死面积、TnT峰值呈正相关（<italic>P</italic>&lt;0.001），而与LVEF呈负相关（<italic>P</italic>&lt;0.001）（<xref ref-type="fig" rid="F3">图3</xref>A）。患者年龄、BMI及冠状动脉病变复杂程度均与EAT质量指数无显著相关性（<xref ref-type="fig" rid="F3">图3</xref>B）。</p><fig position="float" id="F2"><object-id pub-id-type="doi">10.19405/j.cnki.issn1000–1492.2026.04.015.F002</object-id><label>图2</label><caption><title>不同EAT体积及左心EAT体积的MVO发生率</title></caption><abstract abstract-type="caption" xml:lang="en"><label>Fig.2</label><title>Range distribution of MVO occurrence according to EAT and LV EAT volume</title></abstract><alternatives><graphic specific-use="print" xlink:href="media/744C33E2-F3D3-4737-BEA1-8015185C0107-F002.eps" id="Graphic2"><?fx-imagestate width="70.20277405" height="41.62777328"?></graphic><graphic specific-use="big" xlink:href="alternativeImage/744C33E2-F3D3-4737-BEA1-8015185C0107-F002.jpg"><?fx-imagestate width="70.20277405" height="41.62777328"?></graphic><graphic specific-use="small" xlink:href="alternativeImage/744C33E2-F3D3-4737-BEA1-8015185C0107-F002c.jpg"><?fx-imagestate width="70.20277405" height="41.62777328"?></graphic></alternatives></fig><fig position="float" id="F3"><object-id pub-id-type="doi">10.19405/j.cnki.issn1000–1492.2026.04.015.F003</object-id><label>图3</label><caption><title>EAT质量指数与各项参数的相关性分析</title></caption><abstract abstract-type="caption" xml:lang="en"><label>Fig.3</label><title>Correlation analysis between EAT mass index and various parameters</title></abstract><abstract abstract-type="note"><p>A： The association of EAT mass index with infarct size， peak TnT and LVEF； B： The association of EAT mass index with BMI， age and syntax score in STEMI patients.</p></abstract><alternatives><graphic specific-use="print" xlink:href="media/744C33E2-F3D3-4737-BEA1-8015185C0107-F003.eps" id="Graphic3"><?fx-imagestate width="153.10554504" height="64.55833435"?></graphic><graphic specific-use="big" xlink:href="alternativeImage/744C33E2-F3D3-4737-BEA1-8015185C0107-F003.jpg"><?fx-imagestate width="153.10554504" height="64.55833435"?></graphic><graphic specific-use="small" xlink:href="alternativeImage/744C33E2-F3D3-4737-BEA1-8015185C0107-F003c.jpg"><?fx-imagestate width="153.10554504" height="64.55833435"?></graphic></alternatives></fig></sec><sec id="s2e"><label>2.5</label><title>Logistic回归分析</title><p specific-use="noneIndent">以是否形成MVO为因变量，以患者的临床基线特征（年龄、性别、BMI）、<xref ref-type="table" rid="T4">表4</xref>中有统计学意义的指标（NLR、CRP、TnT的峰值、左心EAT质量指数、糖尿病）以及既往研究中认为可能与MVO相关的因素（犯罪血管、Syntax评分、FMC-to-wire time）为自变量进行单因素Logistic回归分析，结果显示，糖尿病、NLR、CRP、TnT的峰值、左心EAT质量指数是MVO形成的危险因素（<italic>P</italic>&lt;0.05）。以单因素分析中<italic>P</italic>&lt;0.1为标准，纳入多因素Logistic回归分析，在校正基线人口学特征后发现，NLR、TnT峰值及左心EAT质量指数是MVO形成的独立危险因素，可作为MVO发生的潜在预测因子。</p><table-wrap id="T4"><object-id pub-id-type="doi">10.19405/j.cnki.issn1000–1492.2026.04.015.T004</object-id><label>表4</label><caption><p>STEMI患者PCI术后MVO形成危险因素的单因素及多因素 Logistic 回归分析</p></caption><abstract abstract-type="caption" xml:lang="en"><label>Tab.4</label><title>Univariable and multivariable Logistic regression analysis of risk factors for MVO formation in STEMI patients after PCI</title></abstract><alternatives><table id="Table4"><thead><tr><th align="left" rowspan="2" style="border-top:solid;border-bottom:solid;">Parameter</th><th align="center" colspan="2" style="border-top:solid;border-bottom:solid;">Univariable analysis</th><th align="center" colspan="2" style="border-top:solid;border-bottom:solid;">Multivariable analysis</th></tr><tr><th align="center" style="border-bottom:solid;"><italic>OR</italic> （95%<italic> CI</italic>）</th><th align="center" style="border-bottom:solid;"><italic>P</italic> value</th><th align="center" style="border-bottom:solid;"><italic>OR</italic> （95%<italic> CI</italic>）</th><th align="center" style="border-bottom:solid;"><italic>P </italic>value</th></tr></thead><tbody><tr align="center"><td align="left">Age</td><td align="center">1.022 （0.993-1.051）</td><td align="center">0.139</td><td align="center">-</td><td align="left"/></tr><tr align="center"><td align="left">Female</td><td align="center">0.903 （0.357-2.283）</td><td align="center">0.829</td><td align="center">-</td><td align="left"/></tr><tr align="center"><td align="left">BMI</td><td align="center">0.987 （0.874-1.114）</td><td align="center">0.827</td><td align="center">-</td><td align="left"/></tr><tr align="center"><td align="left">Diabetes mellitus</td><td align="center">2.317 （1.086-4.944）</td><td align="center">0.030</td><td align="center">2.109 （0.804-5.534）</td><td align="center">0.129</td></tr><tr align="center"><td align="left">NLR</td><td align="center">1.410 （1.187-1.675）</td><td align="center">0.001</td><td align="center">1.298 （1.045-1.612）</td><td align="center">0.018</td></tr><tr align="center"><td align="left">CRP</td><td align="center">1.176 （1.016-1.362）</td><td align="center">0.029</td><td align="center">1.030 （0.843-1.258）</td><td align="center">0.771</td></tr><tr align="center"><td align="left">Peak TnT</td><td align="center">1.299 （1.118-1.509）</td><td align="center">0.001</td><td align="center">1.256 （1.038-1.521）</td><td align="center">0.019</td></tr><tr align="center"><td align="left">Culprit LAD</td><td align="center">1.505 （0.758-2.987）</td><td align="center">0.243</td><td align="center">-</td><td align="left"/></tr><tr align="center"><td align="left">FMC to wire time</td><td align="center">1.244 （0.990-1.562）</td><td align="center">0.061</td><td align="center">1.290 （0.962-1.730）</td><td align="center">0.089</td></tr><tr align="center"><td align="left">Left ventricular EAT mass index</td><td align="center">1.355 （1.218-1.507）</td><td align="center">0.001</td><td align="center">1.288 （1.152-1.440）</td><td align="center">0.001</td></tr><tr align="center"><td align="left" style="border-bottom:solid;">Syntax score</td><td align="center" style="border-bottom:solid;">1.028 （0.984-1.075）</td><td align="center" style="border-bottom:solid;">0.215</td><td align="center" style="border-bottom:solid;">-</td><td align="left" style="border-bottom:solid;"/></tr></tbody></table><graphic specific-use="big" xlink:href="alternativeImage/744C33E2-F3D3-4737-BEA1-8015185C0107-T004.jpg"><?fx-imagestate width="169.80000305" height="65.00000000"?></graphic><graphic specific-use="small" xlink:href="alternativeImage/744C33E2-F3D3-4737-BEA1-8015185C0107-T004c.jpg"><?fx-imagestate width="169.80000305" height="65.00000000"?></graphic></alternatives></table-wrap></sec><sec id="s2f"><label>2.6</label><title>ROC曲线分析</title><p specific-use="noneIndent">EAT相关参数及NLR、TnT峰值对MVO发生的预测价值见<xref ref-type="table" rid="T5">表5</xref>。ROC曲线分析显示，在EAT相关参数中，左心EAT质量指数的预测效能优于EAT体积（AUC：0.835 <italic>vs</italic> 0.787， <italic>P</italic>=0.048 1，95% <italic>CI</italic>：0.000 398~0.094 6；<xref ref-type="fig" rid="F4">图4</xref>）。左心EAT质量指数与MVO形成存在稳健且独立的相关性。以&gt;21.276 8 g/m²为临界值，其对MVO存在的预测敏感性和特异性分别为80.0%和79.6%。而当分别以NLR、TnT峰值、左心EAT质量指数及融合指标绘制ROC曲线图时可以发现融合指标预测STEMI患者术后MVO发生的AUC值为0.863（95% <italic>CI</italic>： 0.794~0.915，<italic>P</italic>&lt;0.001），敏感度为80.00%，特异度为81.48%，其预测效能高于NLR（AUC：0.863 <italic>vs</italic> 0.699， <italic>P</italic>=0.000 1，95% <italic>CI</italic>： 0.080 1~0.249）及TnT峰值（AUC：0.863 <italic>vs</italic> 0.703， <italic>P</italic>=0.000 9，95% <italic>CI</italic>：0.065~0.254），略高于左心EAT质量指数（AUC：0.863 <italic>vs</italic> 0.835）（<xref ref-type="table" rid="T5">表5</xref>及<xref ref-type="fig" rid="F5">图5</xref>）。上述结果提示左心EAT质量指数对MVO形成具有较高的预测效能，且融合指标的预测效能优于单一指标。</p><table-wrap id="T5"><object-id pub-id-type="doi">10.19405/j.cnki.issn1000–1492.2026.04.015.T005</object-id><label>表5</label><caption><p>EAT及NLR、TnT峰值对MVO发生的预测价值</p></caption><abstract abstract-type="caption" xml:lang="en"><label>Tab.5</label><title>Predictive value of EAT-related parameters， NLR， and peak TnT for the occurrence of MVO</title></abstract><alternatives><table id="Table5"><thead><tr><th align="left" style="border-top:solid;border-bottom:solid;">Parameter</th><th align="center" style="border-top:solid;border-bottom:solid;">AUC</th><th align="center" style="border-top:solid;border-bottom:solid;"><italic>95% CI</italic></th><th align="center" style="border-top:solid;border-bottom:solid;">Cut-off value</th><th align="center" style="border-top:solid;border-bottom:solid;">Sensitivity （%）</th><th align="center" style="border-top:solid;border-bottom:solid;">Specificity （%）</th></tr></thead><tbody><tr align="center"><td align="left">EAT volume</td><td align="center">0.787</td><td align="center">0.710 - 0.852</td><td align="center">67.73</td><td align="center">56.47</td><td align="center">94.44</td></tr><tr align="center"><td align="left">EAT mass index</td><td align="center">0.809</td><td align="center">0.733 - 0.870</td><td align="center">33.49</td><td align="center">61.18</td><td align="center">90.74</td></tr><tr align="center"><td align="left">Left ventricular EAT volume</td><td align="center">0.827</td><td align="center">0.753 - 0.885</td><td align="center">39.06</td><td align="center">83.53</td><td align="center">72.22</td></tr><tr align="center"><td align="left">Left ventricular EAT mass index</td><td align="center">0.835</td><td align="center">0.763 - 0.892</td><td align="center">21.28</td><td align="center">80.00</td><td align="center">79.63</td></tr><tr align="center"><td align="left">NLR</td><td align="center">0.699</td><td align="center">0.615 - 0.773</td><td align="center">4.22</td><td align="center">78.82</td><td align="center">53.70</td></tr><tr align="center"><td align="left" style="border-bottom:solid;">Peak TnT</td><td align="center" style="border-bottom:solid;">0.703</td><td align="center" style="border-bottom:solid;">0.620 - 0.778</td><td align="center" style="border-bottom:solid;">3.63</td><td align="center" style="border-bottom:solid;">75.29</td><td align="center" style="border-bottom:solid;">72.22</td></tr></tbody></table><graphic specific-use="big" xlink:href="alternativeImage/744C33E2-F3D3-4737-BEA1-8015185C0107-T005.jpg"><?fx-imagestate width="169.79997253" height="32.20000076"?></graphic><graphic specific-use="small" xlink:href="alternativeImage/744C33E2-F3D3-4737-BEA1-8015185C0107-T005c.jpg"><?fx-imagestate width="169.79997253" height="32.20000076"?></graphic></alternatives></table-wrap><fig position="float" id="F4"><object-id pub-id-type="doi">10.19405/j.cnki.issn1000–1492.2026.04.015.F004</object-id><label>图4</label><caption><title>EAT各参数预测MVO发生的ROC曲线图</title></caption><abstract abstract-type="caption" xml:lang="en"><label>Fig.4</label><title>Predictive accuracy of MVO based on ROC curveanalysis using EAT parameters</title></abstract><alternatives><graphic specific-use="print" xlink:href="media/744C33E2-F3D3-4737-BEA1-8015185C0107-F004.eps" id="Graphic4"><?fx-imagestate width="58.91388702" height="58.20833588"?></graphic><graphic specific-use="big" xlink:href="alternativeImage/744C33E2-F3D3-4737-BEA1-8015185C0107-F004.jpg"><?fx-imagestate width="58.91388702" height="58.20833588"?></graphic><graphic specific-use="small" xlink:href="alternativeImage/744C33E2-F3D3-4737-BEA1-8015185C0107-F004c.jpg"><?fx-imagestate width="58.91388702" height="58.20833588"?></graphic></alternatives></fig><fig position="float" id="F5"><object-id pub-id-type="doi">10.19405/j.cnki.issn1000–1492.2026.04.015.F005</object-id><label>图5</label><caption><title>NLR、TnT峰值、左心EAT质量指数及其融合指标预测MVO发生的ROC曲线图</title></caption><abstract abstract-type="caption" xml:lang="en"><label>Fig.5</label><title>ROC curves for the use of NLR， peak TnT， LV EAT mass index and their combination in predicting the occurrence of MVO</title></abstract><alternatives><graphic specific-use="print" xlink:href="media/744C33E2-F3D3-4737-BEA1-8015185C0107-F005.eps" id="Graphic5"><?fx-imagestate width="60.67777634" height="59.26666260"?></graphic><graphic specific-use="big" xlink:href="alternativeImage/744C33E2-F3D3-4737-BEA1-8015185C0107-F005.jpg"><?fx-imagestate width="60.67777634" height="59.26666260"?></graphic><graphic specific-use="small" xlink:href="alternativeImage/744C33E2-F3D3-4737-BEA1-8015185C0107-F005c.jpg"><?fx-imagestate width="60.67777634" height="59.26666260"?></graphic></alternatives></fig></sec></sec><sec id="s3"><label>3</label><title>讨论</title><p>本研究报道了基于CMR量化的EAT的分布、体积等参数与心肌梗死后MVO形成的关系。通过对139例STEMI患者的分析，发现具有高EAT负荷，尤其是左心高EAT负荷的STEMI患者PCI术后更容易发生MVO。多因素Logistic回归分析提示，NLR、TnT峰值及左心EAT质量指数是MVO形成的独立危险因素；ROC曲线提示，左心EAT质量指数较其他EAT参数具有较高的预测效能，可作为MVO发生的潜在预测因子。</p><p>EAT是紧邻冠状动脉和心肌的脂肪组织，覆盖了心脏表面80%，与心肌共享微循环，由冠状动脉的分支供血<sup>［<xref ref-type="bibr" rid="R9">9</xref>］</sup>，具有抗机械应力、储存能量、维持脂肪酸稳态、免疫条件和提供热量等生理功能<sup>［<xref ref-type="bibr" rid="R10">10</xref>］</sup>。影像学是目前定量评估EAT的主要手段，主要包括超声心动图<sup>［<xref ref-type="bibr" rid="R11">11</xref>］</sup>、CT <sup>［<xref ref-type="bibr" rid="R9">9</xref>］</sup>、CMR<sup>［<xref ref-type="bibr" rid="R12">12</xref>］</sup>等成像方法。CMR具有高空间分辨率、无辐射伤害，良好组织对比度，可实现多序列多维测量，目前被认为是EAT定量评估的金标准，近年来得到广泛关注和应用<sup>［<xref ref-type="bibr" rid="R13">13</xref>］</sup>。</p><p>既往研究提示过多的心外膜脂肪是冠状动脉粥样硬化的危险因素。正常情况下EAT分泌脂联素，减少冠脉炎症和心肌纤维化，但在病理状态下，EAT通过分泌生物活性分子促进冠脉炎症和动脉粥样硬化进展<sup>［<xref ref-type="bibr" rid="R14">14</xref>］</sup>。Toya et al<sup>［<xref ref-type="bibr" rid="R15">15</xref>］</sup>利用CMR发现不同体积的EAT反映了冠心病的不同阶段变化情况，提示EAT在缺血性心肌病中的复杂作用。多数采用超声或CT评估EAT的研究表明EAT增加与心梗后不良事件、梗死面积和纤维化相关呈正相关。而部分利用CMR评估EAT的研究却得出相反的结论<sup>［<xref ref-type="bibr" rid="R16">16</xref>］</sup>。Bière et al<sup>［<xref ref-type="bibr" rid="R5">5</xref>］</sup>利用CMR分析STEMI患者的EAT，发现高EAT（体积&gt;33.50 mL）患者不仅梗死面积更小且愈合更好，这可能与脂联素等局部脂肪因子释放和在缺血期间EAT充当心肌细胞的储能器有关。这些看似矛盾的观察结果可能与种族、纳入标准和测量的差异有关。然而，STEMI患者中EAT的分布、体积等与MVO发生之间的关系尚不明确。本研究显示MVO组患者的左房室沟EAT厚度、左心EAT体积、左心EAT质量指数、总的EAT体积及质量指数显著高于无MVO组，相关性分析显示EAT体积与梗死面积、心肌损伤严重程度呈正相关，而与左心功能呈负相关，多因素Logistic回归显示左心EAT质量指数是MVO形成的独立危险因素，ROC曲线提示左心EAT质量指数较其他EAT参数具有较高的预测效能。</p><p>综上，左心EAT高负荷与STEMI患者术后MVO的发生密切相关，基于CMR测量的EAT分布与量化的各项参数可为急性心梗后MVO形成的早期诊断和风险评估提供影像学标志物，并可能成为开发新疗法以减少STEMI患者微循环损伤的一个潜在靶点，具有潜在的临床应用价值。</p><p>本研究也存在一定局限性：首先，研究为单中心、回顾性研究，样本量较小，存在患者选择偏倚，限制了结果的推广性，需大规模多中心研究进一步验证；其次，研究使用Q-MASS MR 8.1后处理软件手动勾画获取EAT及心脏功能参数，量化结果可能因软件不同而产生差异，且急性心梗患者术后多合并心包积液亦可能影响EAT测量。此外，EAT质量指数计算采用统一密度值，虽然文献支持其适用性，但种族和性别等因素可能导致差异。未来需多中心、大样本、多人群研究进一步验证EAT密度和相关参数的科学性与临床价值。</p></sec></body><back><ref-list><title>参考文献</title><ref id="R1"><label>1</label><citation-alternatives><mixed-citation publication-type="journal" publication-format="print"><person-group><collab xml:lang="en">National Center for Cardiovascular Diseases</collab>， <collab xml:lang="en">The Writing Committee of the Report on Cardiovascular Health and Diseases in China</collab></person-group>. <article-title>中国心血管健康与疾病报告2024概要</article-title>［J］. <source>中国循环杂志</source>， <year>2025</year>， <volume>40</volume>（<issue>6</issue>）： <fpage>521</fpage>-<lpage>59</lpage>.</mixed-citation><mixed-citation publication-type="journal" publication-format="print" xml:lang="en"><person-group><collab>National Center for Cardiovascular Diseases</collab>；<collab>The Writing Committee of the Report on Cardiovascular Health</collab>， <name name-style="eastern"><surname>China</surname><given-names>D I</given-names></name></person-group>. <article-title>Report on cardiovascular health and diseases in China 2024： an updated summary</article-title>［J］. <source>Chin Circ J</source>， <year>2025</year>， <volume>40</volume>（<issue>6</issue>）： <fpage>521</fpage>-<lpage>59</lpage>.</mixed-citation></citation-alternatives></ref><ref id="R2"><label>2</label><mixed-citation publication-type="journal" publication-format="print" xml:lang="en"><person-group><name name-style="eastern"><surname>Galli</surname><given-names>M</given-names></name>， <name name-style="eastern"><surname>Niccoli</surname><given-names>G</given-names></name>， <name name-style="eastern"><surname>De Maria</surname><given-names>G</given-names></name>， <etal>et al</etal></person-group>. <article-title>Coronary microvascular obstruction and dysfunction in patients with acute myocardial infarction</article-title>［J］. <source>Nat Rev Cardiol</source>， <year>2024</year>， <volume>21</volume>（<issue>5</issue>）： <fpage>283</fpage>-<lpage>98</lpage>. <comment>doi：<ext-link ext-link-type="doi" xlink:href="http://dx.doi.org/10.1038/s41569-023-00953-4">10.1038/s41569-023-00953-4</ext-link></comment>.</mixed-citation></ref><ref id="R3"><label>3</label><mixed-citation publication-type="journal" publication-format="print" xml:lang="en"><person-group><name name-style="eastern"><surname>Iacobellis</surname><given-names>G</given-names></name></person-group>. <article-title>Epicardial adipose tissue in contemporary cardiology</article-title>［J］. <source>Nat Rev Cardiol</source>， <year>2022</year>， <volume>19</volume>（<issue>9</issue>）： <fpage>593</fpage>-<lpage>606</lpage>. <comment>doi：<ext-link ext-link-type="doi" xlink:href="http://dx.doi.org/10.1038/s41569-022-00679-9">10.1038/s41569-022-00679-9</ext-link></comment>.</mixed-citation></ref><ref id="R4"><label>4</label><mixed-citation publication-type="journal" publication-format="print" xml:lang="en"><person-group><name name-style="eastern"><surname>Fisser</surname><given-names>C</given-names></name>， <name name-style="eastern"><surname>Colling</surname><given-names>S</given-names></name>， <name name-style="eastern"><surname>Debl</surname><given-names>K</given-names></name>， <etal>et al</etal></person-group>. <article-title>The impact of epicardial adipose tissue in patients with acute myocardial infarction</article-title>［J］. <source>Clin Res Cardiol</source>， <year>2021</year>， <volume>110</volume>（<issue>10</issue>）： <fpage>1637</fpage>-<lpage>46</lpage>. <comment>doi：<ext-link ext-link-type="doi" xlink:href="http://dx.doi.org/10.1007/s00392-021-01865-4">10.1007/s00392-021-01865-4</ext-link></comment>.</mixed-citation></ref><ref id="R5"><label>5</label><mixed-citation publication-type="journal" publication-format="print" xml:lang="en"><person-group><name name-style="eastern"><surname>Bière</surname><given-names>L</given-names></name>， <name name-style="eastern"><surname>Behaghel</surname><given-names>V</given-names></name>， <name name-style="eastern"><surname>Mateus</surname><given-names>V</given-names></name>， <etal>et al</etal></person-group>. <article-title>Relation of quantity of subepicardial adipose tissue to infarct size in patients with ST-elevation myocardial infarction</article-title>［J］. <source>Am J Cardiol</source>， <year>2017</year>， <volume>119</volume>（<issue>12</issue>）： <fpage>1972</fpage>-<lpage>8</lpage>. <comment>doi：<ext-link ext-link-type="doi" xlink:href="http://dx.doi.org/10.1016/j.amjcard.2017.03.024">10.1016/j.amjcard.2017.03.024</ext-link></comment>.</mixed-citation></ref><ref id="R6"><label>6</label><mixed-citation publication-type="journal" publication-format="print" xml:lang="en"><person-group><name name-style="eastern"><surname>Brigham</surname><given-names>R C</given-names></name>， <name name-style="eastern"><surname>Mattson</surname><given-names>A R</given-names></name>， <name name-style="eastern"><surname>Iaizzo</surname><given-names>P A</given-names></name></person-group>. <article-title>Ventricular epicardial adipose distribution on human hearts： 3-dimensional reconstructions and quantitative assessments</article-title>［J］. <source>J Cardiovasc Trans Res</source>， <year>2024</year>， <volume>17</volume>（<issue>4</issue>）： <fpage>959</fpage>-<lpage>68</lpage>. <comment>doi：<ext-link ext-link-type="doi" xlink:href="http://dx.doi.org/10.1007/s12265-024-10505-x">10.1007/s12265-024-10505-x</ext-link></comment>.</mixed-citation></ref><ref id="R7"><label>7</label><mixed-citation publication-type="journal" publication-format="print" xml:lang="en"><person-group><name name-style="eastern"><surname>Petrini</surname><given-names>M</given-names></name>， <name name-style="eastern"><surname>Alì</surname><given-names>M</given-names></name>， <name name-style="eastern"><surname>Cannaò</surname><given-names>P M</given-names></name>， <etal>et al</etal></person-group>. <article-title>Epicardial adipose tissue volume in patients with coronary artery disease or non-ischaemic dilated cardiomyopathy： evaluation with cardiac magnetic resonance imaging</article-title>［J］. <source>Clin Radiol</source>， <year>2019</year>， <volume>74</volume>（<issue>1</issue>）： <fpage>81.e1</fpage>-<lpage>81.e7</lpage>. <comment>doi：<ext-link ext-link-type="doi" xlink:href="http://dx.doi.org/10.1016/j.crad.2018.09.006">10.1016/j.crad.2018.09.006</ext-link></comment>.</mixed-citation></ref><ref id="R8"><label>8</label><mixed-citation publication-type="journal" publication-format="print" xml:lang="en"><person-group><name name-style="eastern"><surname>Ghobrial</surname><given-names>M</given-names></name>， <name name-style="eastern"><surname>Bawamia</surname><given-names>B</given-names></name>， <name name-style="eastern"><surname>Cartlidge</surname><given-names>T</given-names></name>， <etal>et al</etal></person-group>. <article-title>Microvascular obstruction in acute myocardial infarction， a potential therapeutic target</article-title>［J］. <source>J Clin Med</source>， <year>2023</year>， <volume>12</volume>（<issue>18</issue>）： <fpage>5934</fpage>. <comment>doi：<ext-link ext-link-type="doi" xlink:href="http://dx.doi.org/10.3390/jcm12185934">10.3390/jcm12185934</ext-link></comment>.</mixed-citation></ref><ref id="R9"><label>9</label><mixed-citation publication-type="journal" publication-format="print" xml:lang="en"><person-group><name name-style="eastern"><surname>Monti</surname><given-names>C B</given-names></name>， <name name-style="eastern"><surname>Codari</surname><given-names>M</given-names></name>， <name name-style="eastern"><surname>De Cecco</surname><given-names>C N</given-names></name>， <etal>et al</etal></person-group>. <article-title>Novel imaging biomarkers： epicardial adipose tissue evaluation</article-title>［J］. <source>Br J Radiol</source>， <year>2020</year>， <volume>93</volume>（<issue>1113</issue>）： <fpage>20190770</fpage>. <comment>doi：<ext-link ext-link-type="doi" xlink:href="http://dx.doi.org/10.1259/bjr.20190770">10.1259/bjr. 20190770</ext-link></comment>.</mixed-citation></ref><ref id="R10"><label>10</label><mixed-citation publication-type="journal" publication-format="print" xml:lang="en"><person-group><name name-style="eastern"><surname>Leo</surname><given-names>S</given-names></name>， <name name-style="eastern"><surname>Tremoli</surname><given-names>E</given-names></name>， <name name-style="eastern"><surname>Ferroni</surname><given-names>L</given-names></name>， <etal>et al</etal></person-group>. <article-title>Role of epicardial adipose tissue secretome on cardiovascular diseases</article-title>［J］. <source>Biomedicines</source>， <year>2023</year>， <volume>11</volume>（<issue>6</issue>）： <fpage>1653</fpage>. <comment>doi：<ext-link ext-link-type="doi" xlink:href="http://dx.doi.org/10.3390/biomedicines11061653">10.3390/biomedicines11061653</ext-link></comment>.</mixed-citation></ref><ref id="R11"><label>11</label><mixed-citation publication-type="journal" publication-format="print" xml:lang="en"><person-group><name name-style="eastern"><surname>van Woerden</surname><given-names>G</given-names></name>， <name name-style="eastern"><surname>van Veldhuisen</surname><given-names>D J</given-names></name>， <name name-style="eastern"><surname>Gorter</surname><given-names>T M</given-names></name>， <etal>et al</etal></person-group>. <article-title>The value of echocardiographic measurement of epicardial adipose tissue in heart failure patients</article-title>［J］. <source>ESC Heart Fail</source>， <year>2022</year>， <volume>9</volume>（<issue>2</issue>）： <fpage>953</fpage>-<lpage>7</lpage>. <comment>doi：<ext-link ext-link-type="doi" xlink:href="http://dx.doi.org/10.1002/ehf2.13828">10.1002/ehf2.13828</ext-link></comment>.</mixed-citation></ref><ref id="R12"><label>12</label><mixed-citation publication-type="journal" publication-format="print" xml:lang="en"><person-group><name name-style="eastern"><surname>Henningsson</surname><given-names>M</given-names></name>， <name name-style="eastern"><surname>Brundin</surname><given-names>M</given-names></name>， <name name-style="eastern"><surname>Scheffel</surname><given-names>T</given-names></name>， <etal>et al</etal></person-group>. <article-title>Quantification of epicardial fat using 3D cine Dixon MRI</article-title>［J］. <source>BMC Med Imaging</source>， <year>2020</year>， <volume>20</volume>： <fpage>80</fpage>. <comment>doi：<ext-link ext-link-type="doi" xlink:href="http://dx.doi.org/10.1186/s12880-020-00478-z">10.1186/s12880-020-00478-z</ext-link></comment>.</mixed-citation></ref><ref id="R13"><label>13</label><mixed-citation publication-type="journal" publication-format="print" xml:lang="en"><person-group><name name-style="eastern"><surname>Requena-Ibáñez</surname><given-names>J A</given-names></name>， <name name-style="eastern"><surname>Santos-Gallego</surname><given-names>C G</given-names></name>， <name name-style="eastern"><surname>Rodriguez Cordero</surname><given-names>A J</given-names></name>， <etal>et al</etal></person-group>. <article-title>Not only how much， but also how to， when measuring epicardial adipose tissue</article-title>［J］. <source>Magn Reson Imag</source>， <year>2022</year>， <volume>86</volume>： <fpage>149</fpage>-<lpage>51</lpage>. <comment>doi：<ext-link ext-link-type="doi" xlink:href="http://dx.doi.org/10.1016/j.mri.2021.11.004">10.1016/j.mri.2021.11.004</ext-link></comment>.</mixed-citation></ref><ref id="R14"><label>14</label><citation-alternatives><mixed-citation publication-type="journal" publication-format="print"><person-group><string-name>薛亚军</string-name>， <string-name>黄文华</string-name>， <string-name>杜雅彦</string-name>， <etal>等</etal></person-group>. <article-title>冠心病心外膜脂肪组织中KLF7促进炎症反应及脂肪分化成熟</article-title>［J］. <source>安徽医科大学学报</source>， <year>2022</year>， <volume>57</volume>（<issue>2</issue>）： <fpage>197</fpage>-<lpage>202</lpage>. <comment>doi：<ext-link ext-link-type="doi" xlink:href="http://dx.doi.org/10.19405/j.cnki.issn1000-1492.2022.02.007">10.19405/j.cnki.issn1000-1492.2022.02.007</ext-link></comment>.</mixed-citation><mixed-citation publication-type="journal" publication-format="print" xml:lang="en"><person-group><name name-style="eastern"><surname>Xue</surname><given-names>Y J</given-names></name>， <name name-style="eastern"><surname>Huang</surname><given-names>W H</given-names></name>， <name name-style="eastern"><surname>Du</surname><given-names>Y Y</given-names></name>， <etal>et al</etal></person-group>. <article-title>KLF7 in epicardial adipose tissue of coronary heart disease promotes inflammation and adipose differentiation</article-title>［J］. <source>Acta Univ Med Anhui</source>， <year>2022</year>， <volume>57</volume>（<issue>2</issue>）： <fpage>197</fpage>-<lpage>202</lpage>. <comment>doi：<ext-link ext-link-type="doi" xlink:href="http://dx.doi.org/10.19405/j.cnki.issn1000-1492.2022.02.007">10.19405/j.cnki.issn1000-1492. 2022.02.007</ext-link></comment>.</mixed-citation></citation-alternatives></ref><ref id="R15"><label>15</label><mixed-citation publication-type="journal" publication-format="print" xml:lang="en"><person-group><name name-style="eastern"><surname>Toya</surname><given-names>T</given-names></name>， <name name-style="eastern"><surname>Corban</surname><given-names>M T</given-names></name>， <name name-style="eastern"><surname>Imamura</surname><given-names>K</given-names></name>， <etal>et al</etal></person-group>. <article-title>Coronary perivascular epicardial adipose tissue and major adverse cardiovascular events after ST segment-elevation myocardial infarction</article-title>［J］. <source>Atherosclerosis</source>， <year>2020</year>， <volume>302</volume>： <fpage>27</fpage>-<lpage>35</lpage>. <comment>doi：<ext-link ext-link-type="doi" xlink:href="http://dx.doi.org/10.1016/j.atherosclerosis.2020.04.012">10.1016/j.atherosclerosis. 2020.04.012</ext-link></comment>.</mixed-citation></ref><ref id="R16"><label>16</label><mixed-citation publication-type="journal" publication-format="print" xml:lang="en"><person-group><name name-style="eastern"><surname>Gohbara</surname><given-names>M</given-names></name>， <name name-style="eastern"><surname>Iwahashi</surname><given-names>N</given-names></name>， <name name-style="eastern"><surname>Akiyama</surname><given-names>E</given-names></name>， <etal>et al</etal></person-group>. <article-title>Association between epicardial adipose tissue volume and myocardial salvage in patients with a first ST-segment elevation myocardial infarction： an epicardial adipose tissue paradox</article-title>［J］. <source>J Cardiol</source>， <year>2016</year>， <volume>68</volume>（<issue>5</issue>）： <fpage>399</fpage>-<lpage>405</lpage>. <comment>doi：<ext-link ext-link-type="doi" xlink:href="http://dx.doi.org/10.1016/j.jjcc.2015.10.018">10.1016/j.jjcc.2015.10.018</ext-link></comment>.</mixed-citation></ref></ref-list><fn-group><fn fn-type="other" specific-use="citation-format"><p>程伟, 李瑶, 沈爱莲, 等. 基于磁共振量化的心外膜脂肪参数与急性心肌梗死后微循环阻塞的相关性[J]. 安徽医科大学学报, 2026, 61(04): 706-714.</p></fn><fn fn-type="other" specific-use="citation-format" xml:lang="en"><p>Cheng Wei, Li Yao, Shen Ailian, et al. Association between epicardial adipose parameters and microvascular obstruction following acute myocardial infarction based on CMR[J]. Acta Universitatis Medicinalis Anhui, 2026, 61(04): 706-714.</p></fn></fn-group></back><?original-text name="authorName-zh" content="程  伟<sup>1</sup>，李  瑶<sup>2</sup>，沈爱莲<sup>3</sup>，牡  丹<sup>4</sup>，赵金璇<sup>5</sup>"?><?original-text name="authorAff-zh" content="（南京大学医学院附属鼓楼医院<sup>1</sup>结直肠外科、<sup>5</sup>心血管内科，南京  210008；<sup>2</sup>南京医科大学鼓楼临床医学院心血管内科，南京  210008；<sup>3</sup>江苏大学鼓楼临床医学院医学影像科，南京  210008；<sup>4</sup>同济大学附属第十人民医院医学影像科，上海  200072）"?><?original-text name="authorName-en" content="Cheng Wei<sup>1</sup>， Li Yao<sup>2</sup>， Shen Ailian<sup>3</sup>， Mu Dan<sup>4</sup>， Zhao Jinxuan<sup>5</sup>"?><?original-text name="authorAff-en" content="（<sup>1</sup>Dept of Colorectal Surgery， <sup>5</sup> Dept of Cardiology， Nanjing Drum Tower Hospital， The Affiliated Hospital of Nanjing University Medical School， Nanjing     210008； <sup>2</sup>Dept of Cardiology， Nanjing Drum Tower Hospital， Clinical College of Nanjing Medical University， Nanjing     210008； <sup>3</sup>Dept of Radiology， Nanjing Drum Tower Hospital， Clinical College of Jiangsu University， Nanjing     210008； <sup>4</sup>Dept of Radiology， Shanghai Tenth People's Hospital， The Affiliated of Tongji University， Shanghai     200072）"?></article>