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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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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. |
format | Online Article Text |
id | pubmed-10360053 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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