冠心病患者肥胖与心外膜脂肪量的相关性:来自心血管生物成像标记注册表

IF 0.4 4区 医学 Q4 CARDIAC & CARDIOVASCULAR SYSTEMS Kardiologiya Pub Date : 2025-01-31 DOI:10.18087/cardio.2025.1.n2782
Can Xu, Dongjing Wang
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引用次数: 0

摘要

背景:本研究的主要目的是研究冠心病(CAD)患者的肥胖和心外膜脂肪量(EFV)之间的关系,以确定这些因素之间是否存在一致的线性关系。材料和方法:本横断面研究共涉及510名参与者。为了探讨冠心病患者EFV与肥胖之间的关系,我们控制了潜在的混杂变量,包括年龄、性别、糖尿病、吸烟史、动脉高血压、高胆固醇血症、高甘油三酯血症、他汀类药物使用、血管病变和既往急性心肌梗死。结果:在调整混杂因素后,肥胖与EFV之间存在非线性关系,并在200 ml处确定了一个拐点。该拐点两侧的效应量和各自的置信区间分别为1.02 (CI: 1.02-1.03)和0.99 (CI: 0.98-1.00)。低于200毫升的EFV,肥胖和EFV之间的正相关是明显的。结论:肥胖与冠心病患者EFV之间的关系是非线性的,在建立冠心病预后模型时应考虑到这一点。研究结果表明,EFV和肥胖之间的关系比之前认为的更为复杂,值得进一步研究,以更好地了解其对CAD和肥胖风险评估和管理的影响。
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Correlation between Obesity and Epicardial Fat Volume in Patients With Coronary Artery Disease: From the Alternative Cardiovascular Bio-Imaging Markers Registry.

Background: The primary objective was to investigate the relationship between and obesity and epicardial fat volume (EFV) in individuals diagnosed with coronary artery disease (CAD), with the aim of determining whether a consistent linear relationship exists among these factors.

Material and methods: This cross-sectional study involved a total of 510 participants. To explore the relationship between EFV and obesity in CAD patients, we controlled for potential confounding variables, including age, sex, diabetes mellitus, smoking history, arterial hypertension, hypercholesterolemia, hypertriglyceridemia, statin use, vasculopathy, and prior acute myocardial infarction.

Results: After adjusting for confounding factors, a non-linear relationship was observed between obesity and EFV, with an inflection point identified at 200 ml. The effect sizes and their respective confidence intervals were 1.02 (CI: 1.02-1.03) and 0.99 (CI: 0.98-1.00) on either side of this inflection point. Below a EFV of 200 ml, a positive correlation between obesity and EFV was apparent.

Conclusion: The relationship between obesity and EFV in CAD patients is non-linear, and this should be considered when developing prognostic models for CAD. The findings suggest that the relationship between EFV and obesity is more complex than previously thought and warrants further investigation to better understand its implications for both CAD and obesity risk assessment and management.

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来源期刊
Kardiologiya
Kardiologiya 医学-心血管系统
CiteScore
1.70
自引率
20.00%
发文量
94
审稿时长
3-8 weeks
期刊介绍: “Kardiologiya” (Cardiology) is a monthly scientific, peer-reviewed journal committed to both basic cardiovascular medicine and practical aspects of cardiology. As the leader in its field, “Kardiologiya” provides original coverage of recent progress in cardiovascular medicine. We publish state-of-the-art articles integrating clinical and research activities in the fields of basic cardiovascular science and clinical cardiology, with a focus on emerging issues in cardiovascular disease. Our target audience spans a diversity of health care professionals and medical researchers working in cardiovascular medicine and related fields. The principal language of the Journal is Russian, an additional language – English (title, authors’ information, abstract, keywords). “Kardiologiya” is a peer-reviewed scientific journal. All articles are reviewed by scientists, who gained high international prestige in cardiovascular science and clinical cardiology. The Journal is currently cited and indexed in major Abstracting & Indexing databases: Web of Science, Medline and Scopus. The Journal''s primary objectives Contribute to raising the professional level of medical researchers, physicians and academic teachers. Present the results of current research and clinical observations, explore the effectiveness of drug and non-drug treatments of heart disease, inform about new diagnostic techniques; discuss current trends and new advancements in clinical cardiology, contribute to continuing medical education, inform readers about results of Russian and international scientific forums; Further improve the general quality of reviewing and editing of manuscripts submitted for publication; Provide the widest possible dissemination of the published articles, among the global scientific community; Extend distribution and indexing of scientific publications in major Abstracting & Indexing databases.
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