Coronary artery disease (CAD), the most common cardiovascular disease (CVD) stands as the foremost cause of mortality worldwide, responsible for a significant number of deaths each year. This often-preventable cardiovascular condition, characterized by the narrowing or blockage of the coronary arteries due to plaque buildup, poses a substantial burden on global healthcare systems, economies, and societal well-being.
CAD is a multifactorial disease wherein various factors contribute to its pathogenesis often complicating management. There are many known risk factors including monogenic mutations, mitochondrial dysfunction, oxidative stress, insulin resistance (IR), endothelial dysfunction, chronic inflammation, age, family history, dyslipidemia, hypertension, metabolic syndrome, obesity, prediabetes, type 2 diabetes mellites (T2DM), tobacco smoking, excessive alcohol drinking, disturbances in gut microbiota, stress, sedentary lifestyle, and pollution.
As most CADs can be prevented by addressing behavioral risk factors (tobacco use, unhealthy diet, obesity, physical inactivity, alcohol) timely detection and identification of high-risk individuals is crucial to initiate management and counseling. Numerous risk assessment approaches are accessible, with the ASCVD Risk Estimator being predominantly utilized in the United States, relying on the 2013 ACC/AHA guidelines for cardiovascular risk assessment. In contrast, the European Society of Cardiology (ESC) advocates for the utilization of the SCORE (Systematic Coronary Risk Evaluation) risk assessment tool. Both tools are designed to calculate an individual's likelihood of experiencing a CAD event within the next 10 years.
An individual's 10-year risk of experiencing a fatal cardiovascular event, such as a heart attack or stroke.
The challenge lies in the fact that numerous individuals who acquire CAD remain undetected by conventional risk assessment methods. Multiple studies have shown that the combination of clinical risk factors and a PRS demonstrates significantly increased predictive value in contrast to relying solely on traditional factors. Therefore, it becomes essential to integrate PRSs into risk calculations for more accurate risk assessment.
Khera et al., 2018, PMID: 30104762
The American Heart Association
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