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无冠心病(CHD)患者不同临床特征与冠状动脉计算机断层血管造影(CCTA)定量分析的冠状动脉周围脂肪组织衰减值之间的关系。

Relationship between different clinical characteristics and pericoronary adipose tissue attenuation values quantified from coronary computed tomographic angiography (CCTA) in patients without coronary heart disease (CHD).

作者信息

Xu Rui, Jing Mengyuan, Zhu Hao, Xi Huaze, Ren Wei, Zhou Junlin

机构信息

Department of Radiology, Lanzhou University Second Hospital, Lanzhou, China.

Second Clinical School, Lanzhou University, Lanzhou, China.

出版信息

Quant Imaging Med Surg. 2024 Jun 1;14(6):4054-4066. doi: 10.21037/qims-23-1814. Epub 2024 May 10.

DOI:10.21037/qims-23-1814
PMID:38846302
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11151263/
Abstract

BACKGROUND

Pericoronary adipose tissue (PCAT) is a sensor of vascular inflammation. Elevated PCAT attenuation values indicate the presence of coronary inflammation in patients. However, it is unclear which clinical characteristics are associated with increased PCAT attenuation values in patients without coronary heart disease (CHD). The study aims to investigate the relationship between increased PCAT attenuation values and clinical characteristics of patients without CHD.

METHODS

We recruited 785 eligible patients without CHD who underwent coronary computed tomographic angiography (CCTA). Clinical data were recorded for each patient, and PCAT attenuation values for the left anterior descending branch (LAD), left circumflex branch (LCX), and right coronary artery (RCA) were quantified by CCTA using fully automated software. Univariate and multivariate analyses were performed to identify the associations between different clinical characteristics and elevated LAD, LCX, and RCA.

RESULTS

Univariate analysis showed body mass index (BMI) to be positively associated with LAD (rs=0.109), LCX (rs=0.076), and RCA (rs=0.083). Moreover, the duration of smoking, and drinking was positively associated with LAD (rs=0.099, 0.165). Hyperlipidemia was positively associated with LAD (rs=0.089) and RCA (rs=0.334), while statin use was negatively associated with RCA (rs=-0.145). Multivariate analysis showed that the significant determinants of LAD were BMI (β=0.359, P=0.001), duration of smoking (β=2.612, P=0.002), drinking (β=4.106, P<0.001), and hyperlipidemia (β=1.664, P=0.027). LCX was associated with BMI (β=0.218, P=0.024), while RCA was associated with hyperlipidemia (β=6.110, P<0.001) and statin use (β=-3.338, P<0.001).

CONCLUSIONS

In patients without CHD, the PCAT attenuation values measured using CCTA were associated with various clinical characteristics. LAD was associated with BMI, smoking duration, drinking, and hyperlipidemia. On the other hand, LCX was associated with BMI, while RCA was associated with hyperlipidemia and statin use.

摘要

背景

冠状动脉周围脂肪组织(PCAT)是血管炎症的一个传感器。PCAT衰减值升高表明患者存在冠状动脉炎症。然而,尚不清楚在无冠心病(CHD)的患者中,哪些临床特征与PCAT衰减值升高相关。本研究旨在探讨无CHD患者PCAT衰减值升高与临床特征之间的关系。

方法

我们招募了785例符合条件的无CHD患者,这些患者均接受了冠状动脉计算机断层血管造影(CCTA)检查。记录每位患者的临床数据,并使用全自动软件通过CCTA对左前降支(LAD)、左旋支(LCX)和右冠状动脉(RCA)的PCAT衰减值进行量化。进行单因素和多因素分析,以确定不同临床特征与LAD、LCX和RCA升高之间的关联。

结果

单因素分析显示,体重指数(BMI)与LAD(rs=0.109)、LCX(rs=0.076)和RCA(rs=0.083)呈正相关。此外,吸烟和饮酒时间与LAD呈正相关(rs=0.099,0.165)。高脂血症与LAD(rs=0.089)和RCA(rs=0.334)呈正相关,而使用他汀类药物与RCA呈负相关(rs=-0.145)。多因素分析显示,LAD的显著决定因素是BMI(β=0.359,P=0.001)、吸烟时间(β=2.612,P=0.002)、饮酒(β=4.106,P<0.001)和高脂血症(β=1.664,P=0.027)。LCX与BMI相关(β=0.218,P=0.024),而RCA与高脂血症(β=6.110,P<0.001)和他汀类药物使用(β=-3.338,P<0.001)相关。

结论

在无CHD的患者中,使用CCTA测量的PCAT衰减值与多种临床特征相关。LAD与BMI、吸烟时间、饮酒和高脂血症相关。另一方面,LCX与BMI相关,而RCA与高脂血症和他汀类药物使用相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef2a/11151263/868e890a83af/qims-14-06-4054-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef2a/11151263/c52393277095/qims-14-06-4054-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef2a/11151263/80abddfd8479/qims-14-06-4054-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef2a/11151263/7f6428c32d89/qims-14-06-4054-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef2a/11151263/868e890a83af/qims-14-06-4054-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef2a/11151263/c52393277095/qims-14-06-4054-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef2a/11151263/80abddfd8479/qims-14-06-4054-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef2a/11151263/7f6428c32d89/qims-14-06-4054-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef2a/11151263/868e890a83af/qims-14-06-4054-f4.jpg

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