Can we early diagnose metabolic syndrome using brachial-ankle pulse wave velocity in community population？

作     者：Li Xin Zheng Liang Wu Juanli Ma Yunsheng Masanori Munakata Oleski Jessica Zhang Lijuan Wo Da Wang Jingsong Jiang Qiaoyu Zou Liling Liu Xuebo Li Jue 

作者机构：Department of Cardiology Shanghai East Hospital Tongji University Shanghai 200120 China Tongji University Medical School Shanghai 200092 China Department of Cardiology Shanghai Tenth Hospital Tongji University Shanghai 200072 China University of Massachusetts Medical School Massachusetts USA Preventive Medical Center Tohoku Rosai Hospital Sendai Japan 

出 版 物：《Chinese Medical Journal》 (中华医学杂志（英文版）)

年 卷 期：2014年第127卷第17期

页      面：3116-3120页

核心收录：

学科分类：1002[医学-临床医学] 100201[医学-内科学(含：心血管病、血液病、呼吸系病、消化系病、内分泌与代谢病、肾病、风湿病、传染病)] 10[医学] 

基　　金：This work was supported by grants from the National Natural Science Foundation of China (No. 81170325)  International S&T Cooperation Program of China (No. 2011DFB30010).Acknowledgements: We are grateful to all subjects for their enthusiastic participation. We are also indebted to Xiu Jianfeng and Wu Lezou for their pioneering work 

主　　题：brachial-ankle pulse wave velocity metabolic syndrome receiver operating characteristic curve 

摘      要：Background The prevalence of metabolic syndrome （MetS） increased recently and there was still not a screening index to predict *** aim of this study was to estimate whether brachial-ankle pulse wave velocity （baPVVV）,a novel marker for systemic arterial stiffness,could predict MetS in Chinese community *** A total of 2 191 participants were recruited and underwent medical examination including 1 455 men and 756 women from June 2011 to January *** was diagnosed according to the criteria of the International Diabetes Federation （IDF）.Multiple Logistic regressions were conducted to explore the risk factors of *** operating characteristic （ROC） curve was performed to estimate the ideal diagnostic cutoff point of baPWV to predict *** The mean age was （45.35±8.27） years *** multiple Logistic regression analysis,the gender,baPWV and smoking status were risk factors to MetS after adjusting age,gender,baPWV,walk time and sleeping *** prevalence of MetS was 17.48% in 30-year age population in *** were significant differences （Х^2=96.46,P 〈0.05） between male and female participants on MetS *** to the ROC analyses,the ideal cutoff point of baPWV was 1 358.50 cm/s （AUC=60.20%） to predict MetS among male group and 1 350.00 cm/s （AUC=70.90%） among female *** BaPWV may be considered as a screening marker to predict MetS in community Chinese population and the diagnostic value of 1 350.00 cm/s was more significant for the female group.