Cardiovascular Risk Assessment in the Older Athlete

Abstract

Context: Limited data are available to guide cardiovascular screening in adult or masters athletes (≥35 years old). This review provides recommendations and the rationale for the cardiovascular risk assessment of older athletes. Evidence Acquisition: Review of available clinical guidelines, original investigations, and additional searches across PubMed for articles relevant to cardiovascular screening, risk assessment, and prevention in adult athletes (1990-2020). Study Design: Clinical review. Level of Evidence: Level 3. Results: Atherosclerotic coronary artery disease (CAD) is the leading cause of exercise-induced acute coronary syndromes, myocardial infarction, and sudden cardiac death in older athletes. Approximately 50% of adult patients who experience acute coronary syndromes and sudden cardiac arrest do not have prodromal symptoms of myocardial ischemia. The risk of atherosclerotic cardiovascular disease (ASCVD) can be estimated by using existing risk calculators. ASCVD 10-year risk is stratified into 3 categories: low-risk (≤10%), intermediate-risk (between 10% and 20%), and high-risk (≥20%). Coronary artery calcium (CAC) scoring with noncontrast computed tomography provides a noninvasive measure of subclinical CAD. Evidence supports a significant association between elevated CAC and the risk of future cardiovascular events, independent of traditional risk factors or symptoms. Statin therapy is recommended for primary prevention if 10-year ASCVD risk is ≥10% (intermediate- or high-risk patients) or if the Agatston score is >100 or >75th percentile for age and sex. Routine stress testing in asymptomatic, low-risk patients is not recommended. Conclusion: We propose a comprehensive risk assessment for older athletes that combines conventional and novel risk factors for ASCVD, a 12-lead resting electrocardiogram, and a CAC score. Available risk calculators provide a 10-year estimate of ASCVD risk allowing for risk stratification and targeted management strategies. CAC scoring can refine risk estimates to improve the selection of patients for initiation or avoidance of pharmacological therapy.