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Association of Depression, Antidepressants With Atrial Fibrillation Risk: A Systemic Review and Meta-Analysis

BACKGROUND: Depression is a possible influence factor for the increased risk of incident atrial fibrillation (AF). Although several investigations have assessed their association, the results are still controversial. Therefore, we conducted a meta-analysis to evaluate the association between depress...

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Autores principales: Fu, Yonghui, Feng, Shenghui, Xu, Yingxiang, Yang, Yuanjian, Chen, Haibo, He, Wenfeng, Zhu, Wengen, Yin, Kang, Xue, Zhengbiao, Wei, Bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9130653/
https://www.ncbi.nlm.nih.gov/pubmed/35647056
http://dx.doi.org/10.3389/fcvm.2022.897622
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author Fu, Yonghui
Feng, Shenghui
Xu, Yingxiang
Yang, Yuanjian
Chen, Haibo
He, Wenfeng
Zhu, Wengen
Yin, Kang
Xue, Zhengbiao
Wei, Bo
author_facet Fu, Yonghui
Feng, Shenghui
Xu, Yingxiang
Yang, Yuanjian
Chen, Haibo
He, Wenfeng
Zhu, Wengen
Yin, Kang
Xue, Zhengbiao
Wei, Bo
author_sort Fu, Yonghui
collection PubMed
description BACKGROUND: Depression is a possible influence factor for the increased risk of incident atrial fibrillation (AF). Although several investigations have assessed their association, the results are still controversial. Therefore, we conducted a meta-analysis to evaluate the association between depression or using antidepressants and AF. METHODS: We systemically performed the literature retrieval from two electronic databases PubMed and EMBASE until March 2022 to extract relevant data. The hazard ratios (HRs) and odds ratios (OR) from included studies with 95% confidence intervals (CIs) were adjusted into the risk ratio (RR) and pooled by using the random-effects model. RESULTS: Totally 9 studies about the associations between depression or antidepressants and incident AF risk were included in this meta-analysis. Among them, 5 studies specifically analyzed the impact of antidepressants on the risk of AF. The outcomes of our analysis indicated that depression or depressive symptoms could increase AF risk (RR = 1.15, 95% CI, 1.03–1.27, P < 0.01). In addition, the use of antidepressants can also increase AF risk (RR = 1.16, 95% CI, 1.07–1.25, P < 0.001). These results remained unchanged when we remove the source of heterogeneity or adjust the analysis model into the fixed-effects model. CONCLUSIONS: Based on existing investigations, both depression and the use of antidepressants are closely related to the increase of incident AF risk.
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spelling pubmed-91306532022-05-26 Association of Depression, Antidepressants With Atrial Fibrillation Risk: A Systemic Review and Meta-Analysis Fu, Yonghui Feng, Shenghui Xu, Yingxiang Yang, Yuanjian Chen, Haibo He, Wenfeng Zhu, Wengen Yin, Kang Xue, Zhengbiao Wei, Bo Front Cardiovasc Med Cardiovascular Medicine BACKGROUND: Depression is a possible influence factor for the increased risk of incident atrial fibrillation (AF). Although several investigations have assessed their association, the results are still controversial. Therefore, we conducted a meta-analysis to evaluate the association between depression or using antidepressants and AF. METHODS: We systemically performed the literature retrieval from two electronic databases PubMed and EMBASE until March 2022 to extract relevant data. The hazard ratios (HRs) and odds ratios (OR) from included studies with 95% confidence intervals (CIs) were adjusted into the risk ratio (RR) and pooled by using the random-effects model. RESULTS: Totally 9 studies about the associations between depression or antidepressants and incident AF risk were included in this meta-analysis. Among them, 5 studies specifically analyzed the impact of antidepressants on the risk of AF. The outcomes of our analysis indicated that depression or depressive symptoms could increase AF risk (RR = 1.15, 95% CI, 1.03–1.27, P < 0.01). In addition, the use of antidepressants can also increase AF risk (RR = 1.16, 95% CI, 1.07–1.25, P < 0.001). These results remained unchanged when we remove the source of heterogeneity or adjust the analysis model into the fixed-effects model. CONCLUSIONS: Based on existing investigations, both depression and the use of antidepressants are closely related to the increase of incident AF risk. Frontiers Media S.A. 2022-05-11 /pmc/articles/PMC9130653/ /pubmed/35647056 http://dx.doi.org/10.3389/fcvm.2022.897622 Text en Copyright © 2022 Fu, Feng, Xu, Yang, Chen, He, Zhu, Yin, Xue and Wei. 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). 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
Fu, Yonghui
Feng, Shenghui
Xu, Yingxiang
Yang, Yuanjian
Chen, Haibo
He, Wenfeng
Zhu, Wengen
Yin, Kang
Xue, Zhengbiao
Wei, Bo
Association of Depression, Antidepressants With Atrial Fibrillation Risk: A Systemic Review and Meta-Analysis
title Association of Depression, Antidepressants With Atrial Fibrillation Risk: A Systemic Review and Meta-Analysis
title_full Association of Depression, Antidepressants With Atrial Fibrillation Risk: A Systemic Review and Meta-Analysis
title_fullStr Association of Depression, Antidepressants With Atrial Fibrillation Risk: A Systemic Review and Meta-Analysis
title_full_unstemmed Association of Depression, Antidepressants With Atrial Fibrillation Risk: A Systemic Review and Meta-Analysis
title_short Association of Depression, Antidepressants With Atrial Fibrillation Risk: A Systemic Review and Meta-Analysis
title_sort association of depression, antidepressants with atrial fibrillation risk: a systemic review and meta-analysis
topic Cardiovascular Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9130653/
https://www.ncbi.nlm.nih.gov/pubmed/35647056
http://dx.doi.org/10.3389/fcvm.2022.897622
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