Cargando…

Using brachial-ankle pulse wave velocity to screen for metabolic syndrome in community populations

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Guanghua, Zheng, Liang, Li, Xiankai, Wu, Juanli, Zhang, Lijuan, Zhang, Jie, Zou, Liling, Li, Xin, Zhang, Yi, Zhou, Qian, Fan, Huimin, Li, Yang, Li, Jue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4377586/
https://www.ncbi.nlm.nih.gov/pubmed/25820176
http://dx.doi.org/10.1038/srep09438
_version_ 1782363939458252800
author Wang, Guanghua
Zheng, Liang
Li, Xiankai
Wu, Juanli
Zhang, Lijuan
Zhang, Jie
Zou, Liling
Li, Xin
Zhang, Yi
Zhou, Qian
Fan, Huimin
Li, Yang
Li, Jue
author_facet Wang, Guanghua
Zheng, Liang
Li, Xiankai
Wu, Juanli
Zhang, Lijuan
Zhang, Jie
Zou, Liling
Li, Xin
Zhang, Yi
Zhou, Qian
Fan, Huimin
Li, Yang
Li, Jue
author_sort Wang, Guanghua
collection PubMed
description 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.
format Online
Article
Text
id pubmed-4377586
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher Nature Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-43775862015-04-07 Using brachial-ankle pulse wave velocity to screen for metabolic syndrome in community populations Wang, Guanghua Zheng, Liang Li, Xiankai Wu, Juanli Zhang, Lijuan Zhang, Jie Zou, Liling Li, Xin Zhang, Yi Zhou, Qian Fan, Huimin Li, Yang Li, Jue Sci Rep Article 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. Nature Publishing Group 2015-03-30 /pmc/articles/PMC4377586/ /pubmed/25820176 http://dx.doi.org/10.1038/srep09438 Text en Copyright © 2015, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder in order to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Wang, Guanghua
Zheng, Liang
Li, Xiankai
Wu, Juanli
Zhang, Lijuan
Zhang, Jie
Zou, Liling
Li, Xin
Zhang, Yi
Zhou, Qian
Fan, Huimin
Li, Yang
Li, Jue
Using brachial-ankle pulse wave velocity to screen for metabolic syndrome in community populations
title Using brachial-ankle pulse wave velocity to screen for metabolic syndrome in community populations
title_full Using brachial-ankle pulse wave velocity to screen for metabolic syndrome in community populations
title_fullStr Using brachial-ankle pulse wave velocity to screen for metabolic syndrome in community populations
title_full_unstemmed Using brachial-ankle pulse wave velocity to screen for metabolic syndrome in community populations
title_short Using brachial-ankle pulse wave velocity to screen for metabolic syndrome in community populations
title_sort using brachial-ankle pulse wave velocity to screen for metabolic syndrome in community populations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4377586/
https://www.ncbi.nlm.nih.gov/pubmed/25820176
http://dx.doi.org/10.1038/srep09438
work_keys_str_mv AT wangguanghua usingbrachialanklepulsewavevelocitytoscreenformetabolicsyndromeincommunitypopulations
AT zhengliang usingbrachialanklepulsewavevelocitytoscreenformetabolicsyndromeincommunitypopulations
AT lixiankai usingbrachialanklepulsewavevelocitytoscreenformetabolicsyndromeincommunitypopulations
AT wujuanli usingbrachialanklepulsewavevelocitytoscreenformetabolicsyndromeincommunitypopulations
AT zhanglijuan usingbrachialanklepulsewavevelocitytoscreenformetabolicsyndromeincommunitypopulations
AT zhangjie usingbrachialanklepulsewavevelocitytoscreenformetabolicsyndromeincommunitypopulations
AT zouliling usingbrachialanklepulsewavevelocitytoscreenformetabolicsyndromeincommunitypopulations
AT lixin usingbrachialanklepulsewavevelocitytoscreenformetabolicsyndromeincommunitypopulations
AT zhangyi usingbrachialanklepulsewavevelocitytoscreenformetabolicsyndromeincommunitypopulations
AT zhouqian usingbrachialanklepulsewavevelocitytoscreenformetabolicsyndromeincommunitypopulations
AT fanhuimin usingbrachialanklepulsewavevelocitytoscreenformetabolicsyndromeincommunitypopulations
AT liyang usingbrachialanklepulsewavevelocitytoscreenformetabolicsyndromeincommunitypopulations
AT lijue usingbrachialanklepulsewavevelocitytoscreenformetabolicsyndromeincommunitypopulations