Researchers develop way to predict risk of coronary heart disease

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According to a recent study, testing a patient’s coronary calcium levels is a better predictor of blocked coronary arteries at risk for a heart attack. The study was presented at the American Heart Association Scientific Sessions 2018.”With coronary calcium, we’re looking at a marker indicating the actual presence of anatomic disease – we’re not just looking at probabilities of disease based on a patient’s standard risk factors. The risk factors are worth knowing, but they don’t tell whether or not you actually have the disease,” said Jeffrey L. Anderson.Cardiovascular disease remains the greatest cause of morbidity and mortality in the United States, and determining who’s most at risk continues to be suboptimal, said Dr. Anderson.In the study, researchers at the Intermountain Medical Center Heart Institute identified 1,107 symptomatic patients who presented to the healthcare system without any known coronary artery disease and who had a PET-stress test to measure coronary flow, conducted as part of their evaluation.The PET/CT test also enabled a coronary calcium score to be measured. Based on the coronary calcium score and standard risk factors documented in their medical records, three different atherosclerotic cardiovascular disease risk scores were calculated: the standard Pooled Cohort Equation (based on traditional risk factors), the Multi-Ethnic Study of Atherosclerosis (MESA) Risk Score (which combines coronary calcium and traditional risk factors), and the Coronary Calcium Score alone.Researchers tracked those patients to identify who, based on PET scan results suggesting a blocked artery, went on to revascularization (a coronary stent or bypass surgery) and who had a subsequent heart attack or died during the subsequent two years.They found that risk equations that included coronary artery calcium measurements, i.e., the MESA Score and the Coronary Calcium Risk Score.

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