Cardiovascular disease (CVD) is the leading cause of death in the United States [1]. Prevention of CVD events often relies on early identification of higher risk individuals based on known CVD risk factors. However, subclinical CVD risk may go undetected in individuals without traditional risk factors such as diabetes, hypertension, hyperlipidemia, and obesity [1]. Novel approaches to cardiovascular risk stratification in younger, healthier adults are needed to inform clinical care and CVD prevention [2].
