A study published in the American Heart Association’s journal explored using non-imaging data to identify individuals with coronary atherosclerosis. The research aimed to develop tools that could predict the risk of ischemic heart disease without the need for costly and risky imaging techniques. The study used data from the Swedish CardioPulmonary BioImage Study, focusing on individuals aged 50-60. By analyzing various factors such as demographics, lifestyle, and health history, researchers developed self-report and clinical tools to identify individuals at risk. These tools showed promising results in predicting the presence of coronary atherosclerosis, offering a cost-effective approach to identifying high-risk individuals.
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Nonimaging self-report tool effectively predicts coronary atherosclerosis
