Cargando…

Flow-Mediated Dilatation in the Assessment of Coronary Heart Disease: A Meta-Analysis

Endothelial dysfunction may contribute to the increased morbidity and mortality associated with coronary heart disease (CHD). Flow-mediated dilatation (FMD) is the most popular noninvasive method for vascular endothelial function evaluation. This meta-analysis aimed to investigate the association be...

Descripción completa

Detalles Bibliográficos
Autores principales: Xiao, Xiaoyong, Li, Xiang, Xiao, Xiaohua, Wang, Jingjing, Liu, Dehong, Deng, Zhe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9534706/
https://www.ncbi.nlm.nih.gov/pubmed/36213460
http://dx.doi.org/10.1155/2022/7967324
_version_ 1784802604706955264
author Xiao, Xiaoyong
Li, Xiang
Xiao, Xiaohua
Wang, Jingjing
Liu, Dehong
Deng, Zhe
author_facet Xiao, Xiaoyong
Li, Xiang
Xiao, Xiaohua
Wang, Jingjing
Liu, Dehong
Deng, Zhe
author_sort Xiao, Xiaoyong
collection PubMed
description Endothelial dysfunction may contribute to the increased morbidity and mortality associated with coronary heart disease (CHD). Flow-mediated dilatation (FMD) is the most popular noninvasive method for vascular endothelial function evaluation. This meta-analysis aimed to investigate the association between FMD and CHD. We searched the publications listed in the PubMed, Web of Science, Scopus, and Embase databases. Stata 14 software was used to analyze the data. Standardized mean difference (SMD) was used to calculate FMD levels, and the effect sizes were expressed with a 95% confidence interval (CI). I(2) statistics were used to evaluate statistical heterogeneity. In this meta-analysis, 9 studies enrolled a total number of 943 participants, including 534 (56.63%) patients with CHD and 409 controls (43.37%). We found that patients with CHD showed a significantly lower FMD than the controls (SMD −0.706%; 95% CI: −0.985, −0.427; P=0.001) with high heterogeneity. In addition, funnel plot analysis suggested asymmetry that could be evidence of publication bias. But sensitivity analyses show that there were no influential studies. This meta-analysis provides evidence that patients with CHD show a significantly lower FMD than controls and highlights the literature on FMD as a hallmark in CHD diseases.
format Online
Article
Text
id pubmed-9534706
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Hindawi
record_format MEDLINE/PubMed
spelling pubmed-95347062022-10-06 Flow-Mediated Dilatation in the Assessment of Coronary Heart Disease: A Meta-Analysis Xiao, Xiaoyong Li, Xiang Xiao, Xiaohua Wang, Jingjing Liu, Dehong Deng, Zhe Cardiol Res Pract Review Article Endothelial dysfunction may contribute to the increased morbidity and mortality associated with coronary heart disease (CHD). Flow-mediated dilatation (FMD) is the most popular noninvasive method for vascular endothelial function evaluation. This meta-analysis aimed to investigate the association between FMD and CHD. We searched the publications listed in the PubMed, Web of Science, Scopus, and Embase databases. Stata 14 software was used to analyze the data. Standardized mean difference (SMD) was used to calculate FMD levels, and the effect sizes were expressed with a 95% confidence interval (CI). I(2) statistics were used to evaluate statistical heterogeneity. In this meta-analysis, 9 studies enrolled a total number of 943 participants, including 534 (56.63%) patients with CHD and 409 controls (43.37%). We found that patients with CHD showed a significantly lower FMD than the controls (SMD −0.706%; 95% CI: −0.985, −0.427; P=0.001) with high heterogeneity. In addition, funnel plot analysis suggested asymmetry that could be evidence of publication bias. But sensitivity analyses show that there were no influential studies. This meta-analysis provides evidence that patients with CHD show a significantly lower FMD than controls and highlights the literature on FMD as a hallmark in CHD diseases. Hindawi 2022-09-28 /pmc/articles/PMC9534706/ /pubmed/36213460 http://dx.doi.org/10.1155/2022/7967324 Text en Copyright © 2022 Xiaoyong Xiao et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Xiao, Xiaoyong
Li, Xiang
Xiao, Xiaohua
Wang, Jingjing
Liu, Dehong
Deng, Zhe
Flow-Mediated Dilatation in the Assessment of Coronary Heart Disease: A Meta-Analysis
title Flow-Mediated Dilatation in the Assessment of Coronary Heart Disease: A Meta-Analysis
title_full Flow-Mediated Dilatation in the Assessment of Coronary Heart Disease: A Meta-Analysis
title_fullStr Flow-Mediated Dilatation in the Assessment of Coronary Heart Disease: A Meta-Analysis
title_full_unstemmed Flow-Mediated Dilatation in the Assessment of Coronary Heart Disease: A Meta-Analysis
title_short Flow-Mediated Dilatation in the Assessment of Coronary Heart Disease: A Meta-Analysis
title_sort flow-mediated dilatation in the assessment of coronary heart disease: a meta-analysis
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9534706/
https://www.ncbi.nlm.nih.gov/pubmed/36213460
http://dx.doi.org/10.1155/2022/7967324
work_keys_str_mv AT xiaoxiaoyong flowmediateddilatationintheassessmentofcoronaryheartdiseaseametaanalysis
AT lixiang flowmediateddilatationintheassessmentofcoronaryheartdiseaseametaanalysis
AT xiaoxiaohua flowmediateddilatationintheassessmentofcoronaryheartdiseaseametaanalysis
AT wangjingjing flowmediateddilatationintheassessmentofcoronaryheartdiseaseametaanalysis
AT liudehong flowmediateddilatationintheassessmentofcoronaryheartdiseaseametaanalysis
AT dengzhe flowmediateddilatationintheassessmentofcoronaryheartdiseaseametaanalysis