Metabolic syndrome and coronary artery calcification： a community-based natural population study

• Published in: Chinese medical journal Vol. 126; no. 24; pp. 4618 - 4623
• Main Authors: CAO, Hui-li, CHEN, Xiong-biao, LU, Jin-guo, HOU, Zhi-hui, TANG, Xiang, GAO, Yang, YU, Fang-fang, JIANG, Shi-liang, ZHAO, Lian-cheng, LI, Ying, Budoff, Matthew J, Detrano, Robert, LU, Bin
• Format: Journal Article
• Language: English
• Published: China Department of Radiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China 2013
• Subjects: Adult; Aged; China - epidemiology; Coronary Artery Disease - epidemiology; Coronary Artery Disease - metabolism; Coronary Artery Disease - pathology; Coronary Vessels - metabolism; Coronary Vessels - pathology; Female; Humans; Male; Metabolic Syndrome - epidemiology; Metabolic Syndrome - metabolism; Metabolic Syndrome - pathology; Middle Aged; Risk Factors; 人群; 代谢综合征; 冠状动脉; 基础; 社区; 自然; 计算机断层扫描; 钙化; metabolic syndrome; cardiovascular risk factor; coronary artery calcification
• ISSN: 0366-6999; 2542-5641; 2542-5641
• DOI: 10.3760/cma.j.issn.0366-6999.20131083

Background Little is known about the influence of metabolic syndrome （MetS） on coronary artery calcification （CAC） in China. In this article, we aimed to explore the distribution of CAC in populations with and without MetS, and estimate the influence of MetS and its components on CAC in a community-based population of Beijing. Methods A total of 1647 local residents of Beijing, age 40-77 years, were recruited for a cardiovascular risk factors survey and were determined fasting plasma glucose （FPG）, blood lipids, and 64 multi-detector computed tomography （64-MDCT） coronary artery calcium score （CACS） measurement （Agatston scoring）. The distribution of CAC was described, and the influence of MetS components on CAC was evaluated. Results In this population, the prevalence and extent of CAC increased with increasing age and both were higher in MetS subjects compared to nonMetS subjects （all P 〈0.05）, with the exception of those older than 65 years old. The risk of CAC increased with increasing numbers of MetS components, and the odds ratios for predicting positive CAC in subjects with 1, 2, 3, and 〉4 MetS components were 1.60, 1.84, 2.12, and 3.12, respectively （all P 〈0.05）. Elevated blood pressure, elevated FPG, elevated triglycerides, and overweight increased the risk of CAC, yielding odds ratios of 2.64, 1.67, 1.32, and 1.37, respectively （all P 〈0.05）. Conclusions In the Beijing community-based population, MetS increases the risk of CAC. The risk of CAC increases with increasing numbers of MetS components. Not only the number, but also the variety of risk factors for MetS is correlated with the risk of CAC. Elevated blood pressure, hyperglycemia, hypertriglyceridemia and overweight increase the risk of CAC.