在无症状的韩国人中,吸烟状态和亚临床冠状动脉样硬化之间的关联
Hyeji Lee1, Jinhee Ha2, Kyung Sun Park3
1Department of Emergency Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea.
Epidemiology and health
|July 26, 2024
概括
目前的吸烟与无症状个体的冠状动脉样硬化率更高有关. 前吸烟与非化斑块有关,表明心血管风险增加.
科学领域:
- 心脏病学 心脏病学
- 放射学 放射学是一门学科.
- 公共卫生 公共卫生
背景情况:
- 亚临床冠状动脉样硬化是心血管事件的前体.
- 吸烟是心血管疾病的已知危险因素之一.
- 冠状动脉计算机断层扫描血管造影 (CCTA) 是有效的检测冠状动脉样硬化.
研究的目的:
- 评估吸烟状态和亚临床冠状动脉样硬化之间的关联.
- 评估CCTA检测到的当前,前,从未吸烟和冠状动脉斑块特征之间的关系.
主要方法:
- 对接受CCTA的9285个无症状个体进行了回顾性分析.
- 参与者被分为从未吸烟者 (46.7%),前吸烟者 (31.1%) 和目前吸烟者 (22.3%).
- 使用CCTA评估冠状动脉样硬化,冠状动脉阻塞性疾病 (CAD) 被定义为≥50%的狭窄.
主要成果:
- 与从未吸烟者相比,目前的吸烟者显示出阻塞性CAD,任何冠状动脉斑块,化斑块,非化斑块和混合斑块的发生率显著更高.
- 前吸烟者患非化斑块的风险明显高 (aOR,1.34),但与从未吸烟者相比,其他斑块类型没有显著差异.
- 调整的几率比率 (aORs) 用于比较吸烟组之间的结果.
结论:
- 目前的吸烟与CCTA检测到的亚临床冠状动脉样硬化有显著的关联.
- 前吸烟与非化斑块的增加存在有关,这表明持续的心血管风险.
- CCTA可以识别与吸烟相关的冠状动脉样硬化患者,有助于风险分层.
相关概念视频
Chronic Obstructive Pulmonary Disease-IV: Assessement and Diagnostic Studies
2.5K
Assessing and diagnosing Chronic Obstructive Pulmonary Disease (COPD) involves a detailed approach that includes a comprehensive review of medical history, physical examination, and a variety of diagnostic tests. This thorough evaluation is essential to ensure an accurate diagnosis and guide effective management strategies.
Medical History
Medical History
2.5K
Observational Studies
8.4K
Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
8.4K
Assessment of the Cardiovascular System I: Subjective Data
299
A thorough health history and physical assessment are essential for identifying cardiovascular disease (CVD) symptoms and distinguishing them from other health issues.
Initial Enquiry
Ask the patient about their primary concern and thoroughly explore all reported symptoms.
Medical History
Investigate past illnesses affecting the cardiovascular system, such as angina, anemia, rheumatic fever, congenital heart disease, stroke, thrombophlebitis, dysrhythmias, varicosities
Inquire about symptoms...
Initial Enquiry
Ask the patient about their primary concern and thoroughly explore all reported symptoms.
Medical History
Investigate past illnesses affecting the cardiovascular system, such as angina, anemia, rheumatic fever, congenital heart disease, stroke, thrombophlebitis, dysrhythmias, varicosities
Inquire about symptoms...
299
Chronic Obstructive Pulmonary Disease-II: Pathophysiology
2.7K
Chronic Obstructive Pulmonary Disease (COPD) pathophysiology is intricate and multifaceted, involving a complex interplay of physiological processes. Understanding these mechanisms is crucial for effectively managing and treating COPD. Here is an in-depth look at the critical elements in the pathophysiology of COPD:
Chronic Inflammation
Chronic Inflammation
2.7K
Stress Prevention and Stress Management Techniques IV
28
Stress often leads to unhealthy habits like smoking, excessive drinking, and overeating, which offer short-term relief but ultimately increase long-term health risks. These behaviors create a cycle that temporarily lowers stress levels but can result in severe long-term health consequences. Breaking these habits is essential to reduce the risk of chronic diseases and improve overall well-being. Three primary changes that support better health include quitting smoking, reducing alcohol intake,...
28
Statistical Methods for Analyzing Epidemiological Data
344
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
344


