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Inflammation biomarkers are associated with the incidence of cardiovascular disease: a meta-analysis

BACKGROUND: Inflammation is a risk factor for cardiovascular disease (CVD), and particular inflammatory parameters can be used to predict the incidence of CVD. The aim of this study was to assess the association between fibrinogen (FIB), interleukin-6 (IL-6), C-reactive protein (CRP) and galectin-3...

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Autores principales: Liu, Yifei, Guan, Suzhen, Xu, Haiming, Zhang, Na, Huang, Min, Liu, Zhihong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10360053/
https://www.ncbi.nlm.nih.gov/pubmed/37485268
http://dx.doi.org/10.3389/fcvm.2023.1175174
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author Liu, Yifei
Guan, Suzhen
Xu, Haiming
Zhang, Na
Huang, Min
Liu, Zhihong
author_facet Liu, Yifei
Guan, Suzhen
Xu, Haiming
Zhang, Na
Huang, Min
Liu, Zhihong
author_sort Liu, Yifei
collection PubMed
description BACKGROUND: Inflammation is a risk factor for cardiovascular disease (CVD), and particular inflammatory parameters can be used to predict the incidence of CVD. The aim of this study was to assess the association between fibrinogen (FIB), interleukin-6 (IL-6), C-reactive protein (CRP) and galectin-3 (Gal-3) and the risk of cardiovascular disease using meta-analysis. METHODS: PubMed, Embase, Scopus, and Web of Science databases were searched with the appropriate strategies to identify observational studies relevant to this meta-analysis. A random-effects model was used to combine inflammation factor-associated outcomes and cardiovascular disease outcomes, except in the case of galectin-3, where a fixed-effects model was used because of less heterogeneity. Location, age, type of cardiovascular disease, and sample size factors were used to explore heterogeneity in stratification and metaregression for subgroup analysis. A case-by-case literature exclusion approach was used for sensitivity analysis. The funnel plot and Begg's test were combined to assess publication bias. RESULTS: Thirty-three papers out of 11,456 were screened for inclusion in the analysis. Four inflammation biomarkers were significantly associated with the development of CVD: FIB (OR: 1.21, 95% CI: 1.15–1.27, P < 0.001; HR: 1.04, 95% CI: 1.00–1.07, P < 0.05), IL-6 (HR: 1.16, 95% CI: 1.10–1.22, P < 0.001), CRP (OR: 1.25, 95% CI: 1.15–1.35, P < 0.001; HR: 1.20, 95% CI: 1.14–1.25, P < 0.001) and Gal-3 (HR: 1.09, 95% CI: 1.05–1.14, P < 0.001). Location factors help explain the source of heterogeneity, and there is publication bias in the Gal-3 related literature. CONCLUSION: Taken together, the current research evidence suggests that high levels of fibrinogen, interleukin-6, C-reactive protein and galectin-3 are risk factors for cardiovascular disease and can be used as biomarkers to predict the development of cardiovascular disease to some extent. SYSTEMATIC REVIEW REGISTRATION: https://www.crd.york.ac.uk/PROSPERO, identifier: CRD42023391844.
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spelling pubmed-103600532023-07-22 Inflammation biomarkers are associated with the incidence of cardiovascular disease: a meta-analysis Liu, Yifei Guan, Suzhen Xu, Haiming Zhang, Na Huang, Min Liu, Zhihong Front Cardiovasc Med Cardiovascular Medicine BACKGROUND: Inflammation is a risk factor for cardiovascular disease (CVD), and particular inflammatory parameters can be used to predict the incidence of CVD. The aim of this study was to assess the association between fibrinogen (FIB), interleukin-6 (IL-6), C-reactive protein (CRP) and galectin-3 (Gal-3) and the risk of cardiovascular disease using meta-analysis. METHODS: PubMed, Embase, Scopus, and Web of Science databases were searched with the appropriate strategies to identify observational studies relevant to this meta-analysis. A random-effects model was used to combine inflammation factor-associated outcomes and cardiovascular disease outcomes, except in the case of galectin-3, where a fixed-effects model was used because of less heterogeneity. Location, age, type of cardiovascular disease, and sample size factors were used to explore heterogeneity in stratification and metaregression for subgroup analysis. A case-by-case literature exclusion approach was used for sensitivity analysis. The funnel plot and Begg's test were combined to assess publication bias. RESULTS: Thirty-three papers out of 11,456 were screened for inclusion in the analysis. Four inflammation biomarkers were significantly associated with the development of CVD: FIB (OR: 1.21, 95% CI: 1.15–1.27, P < 0.001; HR: 1.04, 95% CI: 1.00–1.07, P < 0.05), IL-6 (HR: 1.16, 95% CI: 1.10–1.22, P < 0.001), CRP (OR: 1.25, 95% CI: 1.15–1.35, P < 0.001; HR: 1.20, 95% CI: 1.14–1.25, P < 0.001) and Gal-3 (HR: 1.09, 95% CI: 1.05–1.14, P < 0.001). Location factors help explain the source of heterogeneity, and there is publication bias in the Gal-3 related literature. CONCLUSION: Taken together, the current research evidence suggests that high levels of fibrinogen, interleukin-6, C-reactive protein and galectin-3 are risk factors for cardiovascular disease and can be used as biomarkers to predict the development of cardiovascular disease to some extent. SYSTEMATIC REVIEW REGISTRATION: https://www.crd.york.ac.uk/PROSPERO, identifier: CRD42023391844. Frontiers Media S.A. 2023-07-07 /pmc/articles/PMC10360053/ /pubmed/37485268 http://dx.doi.org/10.3389/fcvm.2023.1175174 Text en © 2023 Liu, Guan, Xu, Zhang, Huang and Liu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cardiovascular Medicine
Liu, Yifei
Guan, Suzhen
Xu, Haiming
Zhang, Na
Huang, Min
Liu, Zhihong
Inflammation biomarkers are associated with the incidence of cardiovascular disease: a meta-analysis
title Inflammation biomarkers are associated with the incidence of cardiovascular disease: a meta-analysis
title_full Inflammation biomarkers are associated with the incidence of cardiovascular disease: a meta-analysis
title_fullStr Inflammation biomarkers are associated with the incidence of cardiovascular disease: a meta-analysis
title_full_unstemmed Inflammation biomarkers are associated with the incidence of cardiovascular disease: a meta-analysis
title_short Inflammation biomarkers are associated with the incidence of cardiovascular disease: a meta-analysis
title_sort inflammation biomarkers are associated with the incidence of cardiovascular disease: a meta-analysis
topic Cardiovascular Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10360053/
https://www.ncbi.nlm.nih.gov/pubmed/37485268
http://dx.doi.org/10.3389/fcvm.2023.1175174
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