CARDIOVASCULAR RISK MODULATION BY LIFESTYLE MODIFICATION AS PREDICTED BY NOVEL "ARTIFICIAL INTELLIGENCE BASED" CARDIOVASCULAR DISEASE (AICVD) RISK SCORE

Background: The pandemic of cardiovascular diseases (CVD) contribute maximally to the global mortality1, hence the focus on primary prevention by risk factor modulation is of vital importance. AICVD Cardiac Risk Score2 is a novel artificial intelligence-based risk prediction score system that provides the individual’s future risk of CV events. We planned to study the impact of lifestyle modification on the CV risk status as measured by AICVD risk score. Methods: A prospective interventional study was conducted over a time period of one year from January- December 2021. Cohort of 312 patients with age group 40-60 years having at least one of the four traditional cardiovascular risk factors for CAD i.e. DM, Hypertension, Smoking and Dyslipidemia were included in study, The primary outcome measure was to compare the change in AICVD risk score and category after 6 months of intense lifestyle modification. Secondary outcomes were changes in blood pressure, body-mass index, serum cholesterol, blood glucose, smoking cessation, physical activity and stress level. Result: In a cohort of 312 patients, Baseline CVD risk was calculated by using “AICVD risk calculator” and measures of Intense lifestyle modifications were advised to all patients and their CVD risk was again calculated at the end of 6 months and change in AICVD risk score and category was compared from baseline. The result showed significant 27.72% change in mean value in AICVD risk score after lifestyle modification (p-valve