5th International Conference on Heart and Cardiovascular Diseases

Johann Christopher is affiliated with Care Hospital, India, and is involved in the field of cardiovascular healthcare. His research focuses on evaluating the relationship between QRISK3, coronary calcium scoring, and the Coronary Artery Disease Reporting and Data System (CAD-RADS), with the aim of contributing to improved cardiovascular risk assessment and the evaluation of coronary artery disease.

Aim:

The aim of this study is to correlate between the cardiovascular disease risk score (QRISK3) score, coronary artery calcium (CAC) score, and CAD Reporting and Data System (CAD-RADS) category in a general population who are referred for evaluation of coronary artery disease by CT coronary angiography.

Objectives:

1. To demonstrate correlation between QRISK3 score and coronary artery calcium score.

2. To demonstrate correlation between QRISK3 score and CAD-RADS category. 3. To demonstrate correlation between coronary artery calcium score and CAD-RADS category. Materials and Methodology: It was a single-center prospective observational study. Study was conducted from March 2023 to June 2024. (15 months). A 100 patients who met the inclusion criteria was given a questionnaire for the assessment of QRISK3 score using the QRISK

3. Calculator accessible at www.qrisk.org. After the risk assessment, the patients underwent coronary artery calcium evaluation via a computed tomography scan. The CAC scoring was executed with specialized software for calcium scoring (Heartbeat-CS, Extended Brilliance Workspace, Philips Medical Systems, Best, The Netherlands), following the Agatston et al. method. Subsequently, a coronary angiographic scan was performed by injecting 80 to 100 mL of nonionic contrast media (350 mg/mL iohexol; Omnipaque) at a flow rate of 5 mL/s, followed by 50 mL of saline solution. Reconstructions were performed at all cardiac phases at 50 ms intervals with a slice thickness of 0.75 mm and a reconstruction increment of 0.5 mm. The data at the phase with the least motion artifacts was chosen for further assessment. Finally, the CAD-RADS category was determined based on the most severe coronary finding in each patient, with scores ranging from 0 to 5. Results: The data suggests a positive correlation between QRISK3 score and CAC scores, QRISK3 score and CAD-RADS category and CAC score and CAD-RADS category. As we go from CAD-RADS category 0 to category IV, the QRISK3 score and the mean CAC score also increases, indicating that individuals with higher QRISK3 scores tend to have higher levels of calcium in their coronary arteries, which is a marker of increased cardiovascular risk and also is found to have higher CAD-RADS categories in CCTA which is diagnostic of CAD. • Category 0 has the lowest QRISK3 and CAC scores, indicating a low risk of cardiovascular events. • Category I shows a slight increase in both QRISK3 and CAC scores. Category II demonstrates a moderate increase in QRISK3 and a notable rise in CAC scores. • Category III exhibits high QRISK3 scores and significantly higher CAC scores. Category IV has the highest QRISK3 and CAC scores, showing the greatest cardiovascular risk. Conclusion: The data underscores the utility of QRISK3 score in identifying individuals at higher risk of cardiovascular events, aligning with existing literature and emphasizing the importance of continued research to enhance its predictive accuracy. By synthesizing findings from Mu et al., Livingstone et al., and Liu et al., this study contributes to the growing body of evidence supporting the clinical application of QRISK3 in diverse populations and clinical conditions. Use of CAC score as an independent predictor of CAD also have been verified in this study, which has also been substantiated by the study conducted by Pletcher M.J et al.