Omidi Fatemeh, Nasiri Mohammad Javad, Sadeghi Soheila
Department of Cardiology, Imam Hossein Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Glob Cardiol Sci Pract. 2024 Aug 1;2024(4):e202429. doi: 10.21542/gcsp.2024.29.
Cardiovascular diseases (CVDs) pose a significant global health challenge and affect diverse populations. For conditions such as coronary artery disease, heart failure, and stroke prevalence, understanding the multifaceted factors contributing to CVDs is crucial. Hypertension and dyslipidemia, which are established risk factors, require further exploration, particularly in terms of their individual impact on cardiac function. This study aims to uncover associations, elucidate nuanced interplay, and provide insights for personalized interventions.
A cross-sectional analysis, conducted at a Tehran Teaching Hospital, focused on adults admitted for suspected heart disease. The dataset included demographic information, clinical history, medications, and echocardiographic data. Statistical analysis was performed using Pearson's correlation with IBM SPSS Statistics software.
In this analysis of 95 individuals suspected of heart disease, aged 51 years on average, diverse blood pressure patterns with significant percentages across various hypertension stages were observed. Lipid profile analysis revealed typical lipid levels. Correlations between blood pressure, lipid parameters, and cardiac function indicated significant associations, including a negative correlation between ejection fraction and blood pressure and significant correlations between lipid profiles and adverse cardiac volume changes. Disparities in the prevalence of obesity and diabetes have highlighted potential links to hypertension.
This study sheds light on crucial clinical aspects of individuals with suspected heart disease, revealing patterns of obesity, varied blood pressure categories, and nuanced lipid profiles. The correlations between blood pressure, lipid parameters, and cardiac function highlight potential connections, emphasizing the importance of tailored interventions for improved cardiovascular outcomes.
心血管疾病（CVDs）是一项重大的全球健康挑战，影响着不同人群。对于冠状动脉疾病、心力衰竭和中风等疾病的患病率而言，了解导致心血管疾病的多方面因素至关重要。高血压和血脂异常作为已确定的风险因素，需要进一步探究，尤其是它们对心脏功能的个体影响。本研究旨在揭示关联、阐明细微的相互作用，并为个性化干预提供见解。
在德黑兰一家教学医院进行的横断面分析聚焦于因疑似心脏病入院的成年人。数据集包括人口统计学信息、临床病史、用药情况和超声心动图数据。使用Pearson相关性分析并借助IBM SPSS Statistics软件进行统计分析。
在对95名平均年龄为51岁的疑似心脏病患者的分析中，观察到了不同的血压模式，各高血压阶段的比例显著。血脂分析显示了典型的血脂水平。血压、血脂参数与心脏功能之间的相关性表明存在显著关联，包括射血分数与血压之间的负相关以及血脂谱与不良心脏容积变化之间的显著相关性。肥胖和糖尿病患病率的差异突出了与高血压的潜在联系。
本研究揭示了疑似心脏病患者的关键临床特征，揭示了肥胖模式、不同的血压类别和细微的血脂谱。血压、血脂参数与心脏功能之间的相关性突出了潜在联系，强调了为改善心血管结局而进行针对性干预的重要性。
