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Applying the Framingham risk score for prediction of metabolic syndrome: the Kerman Coronary Artery Disease Risk Study, Iran
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نویسنده
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Yousefzadeh Gholamreza ,Shokoohi Mostafa ,Najafipour Hamid ,Shadkamfarokhi Mitra
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منبع
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arya atherosclerosis - 2015 - دوره : 11 - شماره : 3 - صفحه:179 -185
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چکیده
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Background: there has been a few studies about the predictability of metabolic syndrome(mets) based on the framingham risk score (frs) as a tool for predicting the risk of 10-yearscardiovascular diseases (cvd) in iranian population. the aim of this study was to compare therisk stratification obtained with the frs and mets in a cohort of the iranian population.methods: in this population-based study kerman coronary artery disease risk study, iran, metswas diagnosed as defined by the revised national cholesterol education program definition criteria(atpiii) and the frs was calculated using a computer program, previously reported algorithm.results: overall, the prevalence 10-years risk of cvd for patients with mets was significantlydifferent with those without mets (74.3 vs. 86.4% for low-risk patients, 18.1 vs. 12.3% forintermediate-risk people, and 7.6 vs. 1.3% for high-risk individuals) (p < 0.001). the frequencyof intermediate-risk and high-risk for 10-year cvd in men with mets (39.5 and 18.3%,respectively) was considerably higher than women with mets (3.2 and 0.1%, respectively). usingmultiple logistic regression, the odds ratio of mets in intermediate-risk and high-risk frs groupwas 1.7 and 6.7, respectively (p < 0.001).conclusion: significant association between the presence of mets and high risk for cvdbased on frs was revealed in both men and women indicating a good concordance betweenmets and frs in predicting the risk of cvds. however, the odds ratio of the development of riskof cardiovascular events among women was higher than men with mets.
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کلیدواژه
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Metabolic Syndrome ,Framingham Risk Score ,Cardiovascular Disease ,Ischemic Heart Disease
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آدرس
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Physiology Research Center, Institute of Nouropharmacology, Kerman University of Medical Sciences, Kerman, Iran, ایران, Research Center for Modeling in Health, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran, ایران, Physiology Research Center, Institute of Nouropharmacology, Kerman University of Medical Sciences, Kerman, Iran, ایران, Physiology Research Center, Institute of Nouropharmacology, Kerman University of Medical Sciences, Kerman, Iran, ایران
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Authors
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