Aim: To evaluate the accuracy of the risk assessment tools in predicting CVD events in tertiary care hospital, Bangalore, India.

Methodology: A Prospective observational study conducted in medicine wards of a tertiary-care hospital for eight months. We collected all the details like inpatient number, age, sex, social status, laboratory data, weight, height, Blood Pressure (BP), family history, and therapeutic management. Then introduced the data to FRS and ASCVD risk score calculators and determined the risk for development of CVD in each patient and observed risk score for each risk factor in the study sample.

Results: FRS and ASCVD predicted the risk factor for developing CHD; BMI values, tobacco use, alcohol consumption, diabetes, Total Cholesterol. FRS and ASCVD risk scores were used to classify individuals according to Low, Moderate and High-risk factor, the percentage was respectively (70%, 22%, 8%) for ASCVD and (61%,21%, 18%) for FRS. Using FRS and ASCVD, we observed that patients with high BMI values, smokers, alcoholics, diabetics, and patients with high TC, LDL, and TG levels with Low HDL levels were more likely to have a high risk of developing CVDs.

Conclusion: The Risk Scores helped in investigating the status of cardiovascular patients and predicting the incidence of CVD events by determining risk factors. This study emphasizes the importance of good planning and predicting of CVDs in advance as a way to prevent the disease or lower its risk in individuals by studying the risk factors and calculating the risk using Framingham Risk Score and AHA/ACC risk score (ASCVD).

Keywords: Atherosclerosis Cardiovascular Disease (ASCVD), Risk Factors, cardiovascular disease