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Major Depressive Disorder and Stroke Risks: A 9-Year Follow-Up Population-Based, Matched Cohort Study

BACKGROUND AND PURPOSE: Major depressive disorder (MDD) is characterized by recurrent depressive episodes and one of the treatment choices is antidepressants. Patients with MDD are at greater risk of developing major metabolic diseases that may in turn lead to stroke. Moreover, both depressive sympt...

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Autores principales: Li, Cheng-Ta, Bai, Ya-Mei, Tu, Pei-Chi, Lee, Ying-Chiao, Huang, Yu-Lin, Chen, Tzeng-Ji, Chang, Wen-Han, Su, Tung-Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3466174/
https://www.ncbi.nlm.nih.gov/pubmed/23056466
http://dx.doi.org/10.1371/journal.pone.0046818
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author Li, Cheng-Ta
Bai, Ya-Mei
Tu, Pei-Chi
Lee, Ying-Chiao
Huang, Yu-Lin
Chen, Tzeng-Ji
Chang, Wen-Han
Su, Tung-Ping
author_facet Li, Cheng-Ta
Bai, Ya-Mei
Tu, Pei-Chi
Lee, Ying-Chiao
Huang, Yu-Lin
Chen, Tzeng-Ji
Chang, Wen-Han
Su, Tung-Ping
author_sort Li, Cheng-Ta
collection PubMed
description BACKGROUND AND PURPOSE: Major depressive disorder (MDD) is characterized by recurrent depressive episodes and one of the treatment choices is antidepressants. Patients with MDD are at greater risk of developing major metabolic diseases that may in turn lead to stroke. Moreover, both depressive symptoms and taking antidepressant medications are associated with higher risk of stroke. However, whether and how clinical depression increases stroke risk remains an unanswered question. Our aim was to provide answers to this question. METHODS: A matched cohort study of 5015 subjects (1003 MDD patients and 4012 control subjects) was conducted using a nationwide database. Subjects were followed to a maximum of 9 years to determine rates of newly-developed strokes, and controls and MDD groups with different levels of antidepressant refractoriness were compared to determine the temporal relation between stroke and three major metabolic comorbidities (i.e., diabetes mellitus, hypertension and hyperlipidemia). The levels of depressive symptoms and the antidepressant medications before stroke onset were investigated. RESULTS: Patients with MDD had significantly higher rates of stroke (4.3% vs. 2.8%, p<0.05) during the follow-up. Mediation regression analyses revealed that the occurrence of stroke in the MDD subjects was significantly mediated by the development of major metabolic diseases. Greater severity of depression, but not greater use of antidepressants, preceded the occurrence of stroke. CONCLUSIONS: A clinical diagnosis of major depression leads to stroke indirectly through more intense depressive symptoms and the development of major comorbidities.
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spelling pubmed-34661742012-10-10 Major Depressive Disorder and Stroke Risks: A 9-Year Follow-Up Population-Based, Matched Cohort Study Li, Cheng-Ta Bai, Ya-Mei Tu, Pei-Chi Lee, Ying-Chiao Huang, Yu-Lin Chen, Tzeng-Ji Chang, Wen-Han Su, Tung-Ping PLoS One Research Article BACKGROUND AND PURPOSE: Major depressive disorder (MDD) is characterized by recurrent depressive episodes and one of the treatment choices is antidepressants. Patients with MDD are at greater risk of developing major metabolic diseases that may in turn lead to stroke. Moreover, both depressive symptoms and taking antidepressant medications are associated with higher risk of stroke. However, whether and how clinical depression increases stroke risk remains an unanswered question. Our aim was to provide answers to this question. METHODS: A matched cohort study of 5015 subjects (1003 MDD patients and 4012 control subjects) was conducted using a nationwide database. Subjects were followed to a maximum of 9 years to determine rates of newly-developed strokes, and controls and MDD groups with different levels of antidepressant refractoriness were compared to determine the temporal relation between stroke and three major metabolic comorbidities (i.e., diabetes mellitus, hypertension and hyperlipidemia). The levels of depressive symptoms and the antidepressant medications before stroke onset were investigated. RESULTS: Patients with MDD had significantly higher rates of stroke (4.3% vs. 2.8%, p<0.05) during the follow-up. Mediation regression analyses revealed that the occurrence of stroke in the MDD subjects was significantly mediated by the development of major metabolic diseases. Greater severity of depression, but not greater use of antidepressants, preceded the occurrence of stroke. CONCLUSIONS: A clinical diagnosis of major depression leads to stroke indirectly through more intense depressive symptoms and the development of major comorbidities. Public Library of Science 2012-10-08 /pmc/articles/PMC3466174/ /pubmed/23056466 http://dx.doi.org/10.1371/journal.pone.0046818 Text en © 2012 Li et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Li, Cheng-Ta
Bai, Ya-Mei
Tu, Pei-Chi
Lee, Ying-Chiao
Huang, Yu-Lin
Chen, Tzeng-Ji
Chang, Wen-Han
Su, Tung-Ping
Major Depressive Disorder and Stroke Risks: A 9-Year Follow-Up Population-Based, Matched Cohort Study
title Major Depressive Disorder and Stroke Risks: A 9-Year Follow-Up Population-Based, Matched Cohort Study
title_full Major Depressive Disorder and Stroke Risks: A 9-Year Follow-Up Population-Based, Matched Cohort Study
title_fullStr Major Depressive Disorder and Stroke Risks: A 9-Year Follow-Up Population-Based, Matched Cohort Study
title_full_unstemmed Major Depressive Disorder and Stroke Risks: A 9-Year Follow-Up Population-Based, Matched Cohort Study
title_short Major Depressive Disorder and Stroke Risks: A 9-Year Follow-Up Population-Based, Matched Cohort Study
title_sort major depressive disorder and stroke risks: a 9-year follow-up population-based, matched cohort study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3466174/
https://www.ncbi.nlm.nih.gov/pubmed/23056466
http://dx.doi.org/10.1371/journal.pone.0046818
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