An analysis of registry data could be a first step toward an improved strategy for predicting cardiovascular events.
Several algorithms for predicting an individual's risk for cardiovascular events are available, but none has proven to be accurate, easy to use, and applicable to a broad population. To evaluate the relative importance of various risk factors, investigators for the industry-supported REACH Registry in 29 countries enrolled outpatients aged ≥45 who had either stable coronary artery, peripheral arterial, or cerebrovascular disease or three or more risk factors for atherosclerosis. Risk factors included diabetes, diabetic nephropathy, ankle-brachial index <0.9, asymptomatic carotid stenosis ≥70%, carotid intima–media thickness at least twice that of adjacent sites, systolic blood pressure ≥150 mm Hg despite treatment, hypercholesterolemia requ…
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DisclosuresConsultant/Advisory BoardUnited Healthcare; Element Science; Eyedentifeye, F-Prime
EquityHugo Health; Refactor Health; Element Science
Grant/Research SupportPfizer; Agency for Healthcare Research and Quality; Janssen Research and Development, National Institute of Biomedical Imaging and Engineering; National Heart, Lung, and Blood Institute; Centers for Disease Control and Prevention; National Cancer Institute; American Heart Association
DisclosuresConsultant/Advisory BoardUnited Healthcare; Element Science; Eyedentifeye, F-Prime
EquityHugo Health; Refactor Health; Element Science
Grant/Research SupportPfizer; Agency for Healthcare Research and Quality; Janssen Research and Development, National Institute of Biomedical Imaging and Engineering; National Heart, Lung, and Blood Institute; Centers for Disease Control and Prevention; National Cancer Institute; American Heart Association