Cardiometabolic conditions including coronary heart disease, stroke/TIA, atrial fibrillation, heart failure, diabetes, obesity, hypertension, and peripheral vascular disease represent major healthcare challenges and leading causes of mortality globally. Understanding these conditions’ development, progression, co-morbidities and multimorbidity patterns is crucial for effective healthcare management. We hypothesize that these conditions share some distinct and some common risk factor patterns. They may also follow distinct patterns between males and females.
Our research aims to investigate the etiology and prevention of the cardiometabolic diseases, their co-morbidities and prognosis. Leveraging comprehensive data (e.g., clinical, lifestyle, omics, imaging data) may reveal novel risk factors and disease mechanisms, ultimately informing personalized intervention strategies. To conclude, we aim to utilize multidimensional data to develop, potentially sex-specific, insights into disease development and progression.