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Comparison of Coronary Heart Disease Risk Assessments among Individuals with Metabolic Syndrome Using Three Diagnostic Definitions: A Cross-Sectional Study From China

Zhou, Juan; Gao, Qin; Wang, Jun; Zhang, Min; Ma, Jianping; Wang, Changyi; Chen, Hongen; Peng, Xiaolin; & Hao, Liping. (2018). Comparison of Coronary Heart Disease Risk Assessments among Individuals with Metabolic Syndrome Using Three Diagnostic Definitions: A Cross-Sectional Study From China. BMJ Open, 8(10), e022974. PMCID: PMC6224712

Zhou, Juan; Gao, Qin; Wang, Jun; Zhang, Min; Ma, Jianping; Wang, Changyi; Chen, Hongen; Peng, Xiaolin; & Hao, Liping. (2018). Comparison of Coronary Heart Disease Risk Assessments among Individuals with Metabolic Syndrome Using Three Diagnostic Definitions: A Cross-Sectional Study From China. BMJ Open, 8(10), e022974. PMCID: PMC6224712

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Based on the Framingham risk algorithm, researchers established which metabolic syndrome (MetS) definition best reflects the 10-year probability of coronary heart disease (CHD) by analyzing data of 1,721 study participants aged 20–80 years. This cross-sectional study draws on data from the China Health and Nutrition Survey and the Influencing Factors of Chronic Diseases Survey conducted among residents of Nanshan District in Shenzhen, China. In this study, the distributions of the 10-year estimated risk of developing CHD based on the three different definitions (the revised National Cholesterol Education Program’s Adult Treatment Panel, the International Diabetes Federation, and the Chinese Diabetes Society [CDS] criteria) of MetS were compared. Compared with participants without MetS, the 10-year probability of developing CHD in the participants with MetS was significantly higher. Based on the definition of MetS, they reported that differences exist in the prevalence and distribution of the 10-year estimated risk of developing CHD. Compared with women, the MetS definitions have better performance for men. The CDS criteria gave the highest 10-year probability of developing CHD and the lowest prevalence of MetS among the definitions evaluated.




JOUR



Zhou, Juan
Gao, Qin
Wang, Jun
Zhang, Min
Ma, Jianping
Wang, Changyi
Chen, Hongen
Peng, Xiaolin
Hao, Liping



2018


BMJ Open

8

10

e022974








PMC6224712


2689