Comparison of Conventional and Non-Conventional Cardiovascular Risk Factors and Their Association With Acute Coronary Syndrome
试验速览
- 阶段
- 不适用
- 状态
- 进行中（未招募）
- 入组人数
- 222
- 试验地点
- 1
- 主要终点
- Structured Smoking Questionnaire
研究概览
简要总结
This research aims to compare conventional and non-conventional cardiovascular risk factors and their association with Acute Coronary Syndrome (ACS). Conventional risk factors such as hypertension, diabetes mellitus, dyslipidemia, smoking, and family history are well-established contributors to ACS. However, emerging non-conventional risk factors-including elevated inflammatory markers , homocysteine levels, lipoprotein(a), psychological stress, and lifestyle factors-are gaining attention for their potential role in cardiovascular events.
详细描述
The study will involve a cross-sectional analysis of ACS patients, examining the prevalence and impact of both types of risk factors. By assessing their relative contributions, the study aims to enhance understanding of ACS pathogenesis, identify at-risk populations more accurately, and support more comprehensive prevention strategies. The findings may help broaden clinical risk assessment tools and guide personalized interventions to reduce the incidence of ACS.
研究设计
- 研究类型
- Observational
- 观察模型
- Case Control
- 时间视角
- Retrospective
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Adult patients diagnosed with ACS.
- •Patients providing informed consent for participation.
排除标准
- •Patients with chronic heart diseases unrelated to ACS.
- •Patients unable to provide consent due to critical illness.
结局指标
主要结局
Structured Smoking Questionnaire
时间窗: 12 Months
A structured smoking questionnaire is a tool used to assess an individual's smoking habits, level of nicotine dependence, and potential motivations for smoking. These questionnaires typically include questions about cigarette consumption, brand preferences, smoking patterns, and the perceived effects of smoking. nterpretation: Higher scores indicate greater nicotine dependence. Scores: 0-2: Very low dependence 3-4: Low dependence 5: Moderate dependence 6-7: High dependence 8-10: Very high dependence
次要结局
未报告次要终点
研究者
Muhammad Naveed Babur
Principal Investigator
Superior University