title: Using brachial-ankle pulse wave velocity to screen for metabolic syndrome in community populations.
abstract: The aim of this study is to investigate the viability of using brachial-ankle pulse wave velocity (baPWV) as a primary tool to screen metabolic syndrome (MetS), and to explore the risk factors of MetS in community populations. A total of 1914 subjects completed medical examination in Shanghai. BaPWV was significantly associated with the components of MetS. The area under curve (AUC) and its 95% confidence interval (CI) in total group were 62.50% and 60.00%-65.30% with the appropriate cut-off point being 1435 cm/sec. The AUC (95%CI) of three subgroups (40-50 yrs, 50-60 yrs and over 60 yrs group) were 75.30% (67.48%-83.35%), 63.35% (58.96%-67.60%), 55.37% (51.19%-60.01%), respectively. A clear pattern surfaced in the process of investigation: the younger were the subjects group, the better receiver operating characteristic (ROC) efficacy would emerge; and the higher sensitivity was, the better negative predictive value (NPV) would be. Male gender, high baPWV values, elevated uric acid (UA) and excess hypersensitive C reaction protein (hs-CRP) levels were stayed in the two regression models as the independent risk factors for MetS. We conclude that baPWV may serve as a potential screening tool for MetS at the cut-off point of 1435 cm/sec.
authors.affiliation: Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, 201204, China.
authors.forename: Guanghua
authors.initials: G
authors.lastname: Wang
authors.affiliation: Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, 200120, China.
authors.forename: Liang
authors.initials: L
authors.lastname: Zheng
authors.affiliation: Department of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China.
authors.forename: Xiankai
authors.initials: X
authors.lastname: Li
authors.affiliation: Department of Prevention, Tongji University School of Medicine, Shanghai, 200092, China.
authors.forename: Juanli
authors.initials: J
authors.lastname: Wu
authors.affiliation: Department of Prevention, Tongji University School of Medicine, Shanghai, 200092, China.
authors.forename: Lijuan
authors.initials: L
authors.lastname: Zhang
authors.affiliation: Department of Prevention, Tongji University School of Medicine, Shanghai, 200092, China.
authors.forename: Jie
authors.initials: J
authors.lastname: Zhang
authors.affiliation: Department of Prevention, Tongji University School of Medicine, Shanghai, 200092, China.
authors.forename: Liling
authors.initials: L
authors.lastname: Zou
authors.affiliation: Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, 200120, China.
authors.forename: Xin
authors.initials: X
authors.lastname: Li
authors.affiliation: Department of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China.
authors.forename: Yi
authors.initials: Y
authors.lastname: Zhang
authors.affiliation: Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, 201204, China.
authors.forename: Qian
authors.initials: Q
authors.lastname: Zhou
authors.affiliation: Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, 200120, China.
authors.forename: Huimin
authors.initials: H
authors.lastname: Fan
authors.affiliation: Department of Health Management Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China.
authors.forename: Yang
authors.initials: Y
authors.lastname: Li
authors.affiliation: Department of Prevention, Tongji University School of Medicine, Shanghai, 200092, China.
authors.forename: Jue
authors.initials: J
authors.lastname: Li
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D055109:Ankle Brachial Index; D002681:China; D005260:Female; D006339:Heart Rate; D006801:Humans; D008297:Male; D024821:Metabolic Syndrome / Q000175:diagnosis* / Q000503:physiopathology; D008875:Middle Aged; D063177:Pulse Wave Analysis; D012307:Risk Factors
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