Wang Qingpeng, Chi Jiangyang, Wang Chen, Yang Yun, Tian Rui, Chen Xinzhong
Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
J Cardiovasc Dev Dis. 2022 Aug 8;9(8):253. doi: 10.3390/jcdd9080253.
Objective: The aim of this study is to assess the association between epicardial adipose tissue (EAT) and coronary artery disease (CAD) via meta−analysis. Methods: Specific searches of online databases from January 2000 to May 2022 were conducted. All observational studies evaluating the association between EAT and CAD in PubMed, Web of Science, and the Cochrane Library databases were screened. A meta-analysis was conducted following the Preferred Reporting Items for Systematic Reviews and Meta−Analyses guidelines (PRISMA). In total, 21 studies encompassing 4975 subjects met the inclusion criteria, including 2377 diagnosed and assigned as the CAD group, while the other 2598 were assigned as the non−CAD group. Subjects in the CAD group were further divided into the severe stenosis group (stenosis ≥ 50%, n = 846) and the mild/moderate stenosis group (stenosis < 50%, n = 577). Results: Both the volume and thickness of EAT in the CAD group were larger compared to the non−CAD group (p < 0.00001). In a subgroup analysis within the CAD group, the severe stenosis group had a larger volume and thickness with respect to EAT when compared to the mild/moderate group (p < 0.001). Conclusions: The enlargement of EAT presented in CAD patients with an association with CAD severity. Although limited by different CAD types and measuring methods for EAT, as well as a smaller sample size, our results suggest that EAT is a novel predictor and a potential therapeutic target for CAD.
本研究旨在通过荟萃分析评估心外膜脂肪组织（EAT）与冠状动脉疾病（CAD）之间的关联。方法：对2000年1月至2022年5月的在线数据库进行了特定检索。筛选了所有在PubMed、科学网和考克兰图书馆数据库中评估EAT与CAD之间关联的观察性研究。按照系统评价和荟萃分析的首选报告项目（PRISMA）指南进行荟萃分析。共有21项研究，涵盖4975名受试者，符合纳入标准，其中2377名被诊断并分配到CAD组，另外2598名被分配到非CAD组。CAD组的受试者进一步分为严重狭窄组（狭窄≥50%，n = 846）和轻度/中度狭窄组（狭窄<50%，n = 577）。结果：与非CAD组相比，CAD组中EAT的体积和厚度均更大（p < 0.00001）。在CAD组的亚组分析中，与轻度/中度组相比，严重狭窄组的EAT体积和厚度更大（p < 0.001）。结论：CAD患者中出现的EAT增大与CAD严重程度相关。尽管受到不同CAD类型、EAT测量方法以及样本量较小的限制，但我们的结果表明EAT是CAD的一种新型预测指标和潜在治疗靶点。
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