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High Risk of Depressive Disorders in Patients With Gout: A Nationwide Population-Based Cohort Study

Metabolic abnormalities are common in patients with depressive disorders. However, the relationship between gout and depression is unclear. We explored the causal relationship among gout, antigout medication, and the associated risk of incidental depressive disorders. In this nationwide cohort study...

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Autores principales: Changchien, Te-Chang, Yen, Yung-Chieh, Lin, Cheng-Li, Lin, Ming-Chia, Liang, Ji-An, Kao, Chia-Hung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5291635/
https://www.ncbi.nlm.nih.gov/pubmed/26717394
http://dx.doi.org/10.1097/MD.0000000000002401
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author Changchien, Te-Chang
Yen, Yung-Chieh
Lin, Cheng-Li
Lin, Ming-Chia
Liang, Ji-An
Kao, Chia-Hung
author_facet Changchien, Te-Chang
Yen, Yung-Chieh
Lin, Cheng-Li
Lin, Ming-Chia
Liang, Ji-An
Kao, Chia-Hung
author_sort Changchien, Te-Chang
collection PubMed
description Metabolic abnormalities are common in patients with depressive disorders. However, the relationship between gout and depression is unclear. We explored the causal relationship among gout, antigout medication, and the associated risk of incidental depressive disorders. In this nationwide cohort study, we sampled data from the National Health Insurance Research Database to recruit 34,050 patients with gout as the gout cohort and 68,100 controls (without gout) as the nongout cohort. Our primary endpoint was the diagnosis of depressive disorders during follow-up. The overall study population was followed up until depression diagnosis, withdrawal from the NHI program, or the end of the study. The differences in demographic and clinical characteristics between both cohorts were determined using the Chi-square test for categorical variables and the t-test for continuous variables. Cox proportional hazard regression models were used to examine the effect of gout on the risk of depression, represented using the hazard ratio with the 95% confidence interval. Patients with gout exhibited a higher risk of depressive disorders than controls did. The risk of depressive disorders increased with age and was higher in female patients and those with hypertension, stroke, and coronary artery disease. Nonsteroidal antiinflammatory drug and prednisolone use was associated with a reduced risk of depression. Patients with gout who had received antigout medication exhibited a reduced risk of depressive disorders compared with nongout patients. Our findings support that gout increases the risk of depressive disorders, and that antigout medication use reduces the risk.
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spelling pubmed-52916352017-02-09 High Risk of Depressive Disorders in Patients With Gout: A Nationwide Population-Based Cohort Study Changchien, Te-Chang Yen, Yung-Chieh Lin, Cheng-Li Lin, Ming-Chia Liang, Ji-An Kao, Chia-Hung Medicine (Baltimore) 5000 Metabolic abnormalities are common in patients with depressive disorders. However, the relationship between gout and depression is unclear. We explored the causal relationship among gout, antigout medication, and the associated risk of incidental depressive disorders. In this nationwide cohort study, we sampled data from the National Health Insurance Research Database to recruit 34,050 patients with gout as the gout cohort and 68,100 controls (without gout) as the nongout cohort. Our primary endpoint was the diagnosis of depressive disorders during follow-up. The overall study population was followed up until depression diagnosis, withdrawal from the NHI program, or the end of the study. The differences in demographic and clinical characteristics between both cohorts were determined using the Chi-square test for categorical variables and the t-test for continuous variables. Cox proportional hazard regression models were used to examine the effect of gout on the risk of depression, represented using the hazard ratio with the 95% confidence interval. Patients with gout exhibited a higher risk of depressive disorders than controls did. The risk of depressive disorders increased with age and was higher in female patients and those with hypertension, stroke, and coronary artery disease. Nonsteroidal antiinflammatory drug and prednisolone use was associated with a reduced risk of depression. Patients with gout who had received antigout medication exhibited a reduced risk of depressive disorders compared with nongout patients. Our findings support that gout increases the risk of depressive disorders, and that antigout medication use reduces the risk. Wolters Kluwer Health 2015-12-31 /pmc/articles/PMC5291635/ /pubmed/26717394 http://dx.doi.org/10.1097/MD.0000000000002401 Text en Copyright © 2015 Wolters Kluwer Health, Inc. All rights reserved. http://creativecommons.org/licenses/by-nc-nd/4.0 This is an open access article distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0, where it is permissible to download, share and reproduce the work in any medium, provided it is properly cited. The work cannot be changed in any way or used commercially. http://creativecommons.org/licenses/by-nc-nd/4.0
spellingShingle 5000
Changchien, Te-Chang
Yen, Yung-Chieh
Lin, Cheng-Li
Lin, Ming-Chia
Liang, Ji-An
Kao, Chia-Hung
High Risk of Depressive Disorders in Patients With Gout: A Nationwide Population-Based Cohort Study
title High Risk of Depressive Disorders in Patients With Gout: A Nationwide Population-Based Cohort Study
title_full High Risk of Depressive Disorders in Patients With Gout: A Nationwide Population-Based Cohort Study
title_fullStr High Risk of Depressive Disorders in Patients With Gout: A Nationwide Population-Based Cohort Study
title_full_unstemmed High Risk of Depressive Disorders in Patients With Gout: A Nationwide Population-Based Cohort Study
title_short High Risk of Depressive Disorders in Patients With Gout: A Nationwide Population-Based Cohort Study
title_sort high risk of depressive disorders in patients with gout: a nationwide population-based cohort study
topic 5000
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5291635/
https://www.ncbi.nlm.nih.gov/pubmed/26717394
http://dx.doi.org/10.1097/MD.0000000000002401
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