Impact of Assessment and Management of Comorbidities in Internal Medicine on Cardiovascular Risk

The aim of assessing and managing cardiovascular risk is to avoid, limit or delay cardiovascular morbidity and mortality. Planned internal medicine is developed around the management of cardiovascular risk in patients at high cardiovascular risk, whether in primary prevention patients, combining several cardiovascular risk factors CVRF (arterial hypertension, metabolic syndrome, diabetes, dyslipidemia, etc.), or patients in secondary prevention who have several CVRFs and have already had a major cardiovascular event such as ischemic heart disease, heart failure. During scheduled hospitalization, patients benefit from comprehensive care. Additional examinations include measurement of blood pressure, cardiac ultrasound, vascular Dopplers, usual biological assessment (lipid, glycemic, renal, iron assessment, CRP), and on a case-by-case basis, ventilatory polygraphy to screen for obstructive sleep apnea hypopnea syndrome, pulmonary function tests if the patient is a smoker to screen for chronic obstructive pulmonary disease, coronary function test to screen for ischemic heart disease if indicated. Comorbidities are thus identified and summarized, and patients benefit from personalized and adapted care for their comorbidities and CVRFs. Cardiovascular risk reduction strategy programs targeting high-risk patients are essential and their evaluation is necessary.This study will make it possible to evaluate this overall course of multidisciplinary management of comorbidities in patients at high cardiovascular risk in internal medicine. The innovative nature of the project is the possibility to cross-reference the comorbidities and the cardiovascular and metabolic data of these patients at high cardiovascular risk with their evolving risk level over time. This will also make it possible to highlight which markers are the most effective to better stratify cardiovascular risk, or even consider personalized phenotyping. The coexistence of all these parameters within the same database represents a unique opportunity to study their respective influences in a population of patients at high cardiovascular risk.