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...
Autores principales: | , , , , , , , , , , , , |
---|---|
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 |