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Prevalence of depression in myocardial infarction: A PRISMA-compliant meta-analysis

BACKGROUND: Depression is common in the aftermath of myocardial infarction (MI) and may not only lead to impaired long-term quality of life, but also cause increased mortality among patients with MI. The reported prevalence of depression among patients with MI varied considerably across studies, for...

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Autores principales: Feng, Limin, Li, Lifeng, Liu, Wennan, Yang, Jianzhou, Wang, Qing, Shi, Le, Luo, Mingchi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6407970/
https://www.ncbi.nlm.nih.gov/pubmed/30813183
http://dx.doi.org/10.1097/MD.0000000000014596
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author Feng, Limin
Li, Lifeng
Liu, Wennan
Yang, Jianzhou
Wang, Qing
Shi, Le
Luo, Mingchi
author_facet Feng, Limin
Li, Lifeng
Liu, Wennan
Yang, Jianzhou
Wang, Qing
Shi, Le
Luo, Mingchi
author_sort Feng, Limin
collection PubMed
description BACKGROUND: Depression is common in the aftermath of myocardial infarction (MI) and may not only lead to impaired long-term quality of life, but also cause increased mortality among patients with MI. The reported prevalence of depression among patients with MI varied considerably across studies, for which a pooled prevalence was obtained in the only 1 meta-analysis conducted in March 2004. Subsequently, numerous relevant studies have been published, indicating the need for an update on the pooled prevalence. Therefore, this study was aimed at updating the pooled prevalence of depression among patients with MI. METHODS: A comprehensive literature search in 3 electronic databases, PubMed, Embase, and PsycINFO, was performed in April 2018. The heterogeneity across studies was examined by the Cochran's Q test and quantified by the I(2) statistic. If significant heterogeneity was observed, meta-regression analyses and subgroup analyses were performed to identify the source of heterogeneity. Publication bias was assessed by a funnel plot and verified by the Egger's and Begg's tests. RESULTS: Nineteen eligible studies conducted in 10 countries were included, which consisted of 12,315 patients with MI, among whom 3818 were identified with depression. High heterogeneity was observed across the eligible studies (I(2) = 98.4%), with the reported prevalence of depression ranging from 9.17% to 65.88%. The pooled prevalence of depression among patients with MI was 28.70% (95% CI: 22.39–35.46%) by a random effects model. Subgroup analyses showed that the pooled prevalence differed significantly by region, tool used to identify depression, study quality, sex, race, anterior MI, and diabetes status (P < .05). Meta-regression analyses did not identify any moderators of heterogeneity, and the heterogeneity was high within most subgroups. Nonetheless, for unmarried subjects, the heterogeneity was low (I(2) = 19.5). The Egger's test and the Begg's test indicated no evidence of publication bias (P > .05). CONCLUSIONS: Given the high pooled prevalence of depression found in this study and the association between depression and adverse health outcomes among patients with MI, more psychological resources including early assessment and effective treatment of depression should be allocated to patients with MI.
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spelling pubmed-64079702019-03-16 Prevalence of depression in myocardial infarction: A PRISMA-compliant meta-analysis Feng, Limin Li, Lifeng Liu, Wennan Yang, Jianzhou Wang, Qing Shi, Le Luo, Mingchi Medicine (Baltimore) Research Article BACKGROUND: Depression is common in the aftermath of myocardial infarction (MI) and may not only lead to impaired long-term quality of life, but also cause increased mortality among patients with MI. The reported prevalence of depression among patients with MI varied considerably across studies, for which a pooled prevalence was obtained in the only 1 meta-analysis conducted in March 2004. Subsequently, numerous relevant studies have been published, indicating the need for an update on the pooled prevalence. Therefore, this study was aimed at updating the pooled prevalence of depression among patients with MI. METHODS: A comprehensive literature search in 3 electronic databases, PubMed, Embase, and PsycINFO, was performed in April 2018. The heterogeneity across studies was examined by the Cochran's Q test and quantified by the I(2) statistic. If significant heterogeneity was observed, meta-regression analyses and subgroup analyses were performed to identify the source of heterogeneity. Publication bias was assessed by a funnel plot and verified by the Egger's and Begg's tests. RESULTS: Nineteen eligible studies conducted in 10 countries were included, which consisted of 12,315 patients with MI, among whom 3818 were identified with depression. High heterogeneity was observed across the eligible studies (I(2) = 98.4%), with the reported prevalence of depression ranging from 9.17% to 65.88%. The pooled prevalence of depression among patients with MI was 28.70% (95% CI: 22.39–35.46%) by a random effects model. Subgroup analyses showed that the pooled prevalence differed significantly by region, tool used to identify depression, study quality, sex, race, anterior MI, and diabetes status (P < .05). Meta-regression analyses did not identify any moderators of heterogeneity, and the heterogeneity was high within most subgroups. Nonetheless, for unmarried subjects, the heterogeneity was low (I(2) = 19.5). The Egger's test and the Begg's test indicated no evidence of publication bias (P > .05). CONCLUSIONS: Given the high pooled prevalence of depression found in this study and the association between depression and adverse health outcomes among patients with MI, more psychological resources including early assessment and effective treatment of depression should be allocated to patients with MI. Wolters Kluwer Health 2019-02-22 /pmc/articles/PMC6407970/ /pubmed/30813183 http://dx.doi.org/10.1097/MD.0000000000014596 Text en Copyright © 2019 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0
spellingShingle Research Article
Feng, Limin
Li, Lifeng
Liu, Wennan
Yang, Jianzhou
Wang, Qing
Shi, Le
Luo, Mingchi
Prevalence of depression in myocardial infarction: A PRISMA-compliant meta-analysis
title Prevalence of depression in myocardial infarction: A PRISMA-compliant meta-analysis
title_full Prevalence of depression in myocardial infarction: A PRISMA-compliant meta-analysis
title_fullStr Prevalence of depression in myocardial infarction: A PRISMA-compliant meta-analysis
title_full_unstemmed Prevalence of depression in myocardial infarction: A PRISMA-compliant meta-analysis
title_short Prevalence of depression in myocardial infarction: A PRISMA-compliant meta-analysis
title_sort prevalence of depression in myocardial infarction: a prisma-compliant meta-analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6407970/
https://www.ncbi.nlm.nih.gov/pubmed/30813183
http://dx.doi.org/10.1097/MD.0000000000014596
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