Clinical and imaging parameters to predict cardiovascular outcome in asymptomatic subjects

Area of Science:

• Cardiology
• Preventive Medicine
• Medical Imaging

Background:

• Cardiovascular disease (CVD) poses a significant health risk, even in asymptomatic individuals.
• Predictive models for CVD events often combine clinical, biomarker, and imaging data.
• Identifying reliable prognostic markers in asymptomatic populations is crucial for early intervention.

Purpose of the Study:

• To compare the prognostic capabilities of clinical, biomarker, and imaging parameters for predicting cardiovascular outcomes.
• To evaluate the independent predictive value of the Framingham Risk Score (FRS) and coronary artery stenosis degree in an asymptomatic cohort.

Main Methods:

• Analysis of 5,182 asymptomatic patients undergoing coronary computed tomography angiography.
• Prospective evaluation of cardiovascular events (cardiac death, acute coronary syndrome, stroke) over a median follow-up of 48 months.
• Multivariate analyses incorporating C-reactive protein, FRS, coronary artery calcium score, and degree of coronary artery stenosis.

Main Results:

• Cardiovascular events occurred in 1.3% of the study population.
• Both FRS (OR 1.068) and degree of coronary artery stenosis (OR 1.041) were identified as independent predictors of adverse cardiovascular events.
• The C-statistics for FRS, degree of stenosis, and their combination were 0.72, 0.80, and 0.83, respectively, indicating strong predictive power.

Conclusions:

• The Framingham Risk Score and the degree of coronary artery stenosis are significant independent predictors of future cardiovascular events in asymptomatic individuals.
• Combining FRS with coronary artery stenosis assessment enhances prognostic accuracy for cardiovascular outcomes.
• These findings underscore the importance of integrating clinical risk scores and imaging data for comprehensive cardiovascular risk assessment in asymptomatic populations.