Abstract
INTRODUCTION: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.