Applying the Framingham risk score for prediction of metabolic syndrome: The Kerman Coronary Artery Disease Risk Study, Iran
Publish place: ARYA Atherosclerosis، Vol: 11، Issue: 3
Publish Year: 1394
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_RYA-11-3_003
تاریخ نمایه سازی: 2 شهریور 1401
Abstract:
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 ۱۰-years cardiovascular diseases (CVD) in Iranian population. The aim of this study was to compare the risk 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, MetS was 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 ۱۰-years risk of CVD for patients with MetS was significantly different with those without MetS (۷۴.۳ vs. ۸۶.۴% for low-risk patients, ۱۸.۱ vs. ۱۲.۳% for intermediate-risk people, and ۷.۶ vs. ۱.۳% for high-risk individuals) (P < ۰.۰۰۱). The frequency of intermediate-risk and high-risk for ۱۰-year CVD in men with MetS (۳۹.۵ and ۱۸.۳%, respectively) was considerably higher than women with MetS (۳.۲ and ۰.۱%, respectively). Using multiple logistic regression, the odds ratio of MetS in intermediate-risk and high-risk FRS group was ۱.۷ and ۶.۷, respectively (P < ۰.۰۰۱). CONCLUSION: Significant association between the presence of MetS and high risk for CVD based on FRS was revealed in both men and women indicating a good concordance between MetS and FRS in predicting the risk of CVDs. However, the odds ratio of the development of risk of cardiovascular events among women was higher than men with MetS.
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Authors
Gholamreza Yousefzadeh
Physiology Research Center, Institute of Nouropharmacology, Kerman University of Medical Sciences, Kerman, Iran
Mostafa Shokoohi
Research Center for Modeling in Health, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran
Hamid Najafipour
Physiology Research Center, Institute of Nouropharmacology, Kerman University of Medical Sciences, Kerman, Iran
Mitra Shadkamfarokhi
Physiology Research Center, Institute of Nouropharmacology, Kerman University of Medical Sciences, Kerman, Iran