Research questions and objectives! Our research seeks to explore the complex associations between environmental factors, biomarkers, lifestyle, and imaging modalities on cardiovascular event risk in patients with cardiovascular disease (CVD). We aim to understand how these multifaceted factors interact and contribute to the development and progression of cardiovascular events, including cardiovascular death, myocardial infarction, stroke, and heart failure necessitating hospitalization or intravenous treatment. Additionally, we will examine the potential mediating role of these factors in the context of hypertension, diabetes mellitus, and stroke, which often coexist with CVD and further complicate the clinical landscape. By creating predictive models that integrate environmental, biological, and imaging data, we hope to improve early detection and prevention strategies for cardiovascular events and identify potential therapeutic targets to optimize patient outcomes. Scientific rationale for the research: The multifactorial nature of cardiovascular risk is increasingly recognized, with environmental exposures, metabolic conditions, and genetic factors all contributing to cardiovascular events. However, the interplay between these factors and their cumulative impact on risk remains unclear. Advances in biomarker research and imaging technologies offer new tools for assessing cardiovascular risk, but their integration into predictive models and clinical practice is still limited. Additionally, common comorbidities such as hypertension, diabetes mellitus, and stroke further complicate cardiovascular risk, yet the mechanisms of their interactions with other risk factors are not fully understood. Developing predictive models that integrate environmental, biological, and imaging data is essential to improve early detection, prevention, and management of cardiovascular events and identify potential therapeutic targets.
