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Diseases prevalent before major depressive disorder diagnosis: an exploratory nested case–control study using health insurance-based claims data

OBJECTIVES: Major depressive disorder (MDD) is often comorbid with other chronic and/or serious diseases. However, little is known about the prevalence of various diseases that are present before MDD onset. We examined the prevalence of all pre-existing diseases in the 12 months before an MDD diagno...

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Autores principales: Cho, Yoshinori, Mishiro, Izumi, Akaki, Tsuyoshi, Akimoto, Takafumi, Fujikawa, Keita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8852671/
https://www.ncbi.nlm.nih.gov/pubmed/35168961
http://dx.doi.org/10.1136/bmjopen-2020-048233
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author Cho, Yoshinori
Mishiro, Izumi
Akaki, Tsuyoshi
Akimoto, Takafumi
Fujikawa, Keita
author_facet Cho, Yoshinori
Mishiro, Izumi
Akaki, Tsuyoshi
Akimoto, Takafumi
Fujikawa, Keita
author_sort Cho, Yoshinori
collection PubMed
description OBJECTIVES: Major depressive disorder (MDD) is often comorbid with other chronic and/or serious diseases. However, little is known about the prevalence of various diseases that are present before MDD onset. We examined the prevalence of all pre-existing diseases in the 12 months before an MDD diagnosis. DESIGN: Exploratory nested case–control study. SETTING: Data, including diagnoses based on International Statistical Classification of Diseases and Related Health Problems, 10th revision codes, were from a Japanese health insurance database (JMDC). PARTICIPANTS: Adults newly diagnosed with MDD during 2015, 2016 or 2017 (but not the preceding year) (cases) were matched (exact) 1:10 to controls by age, sex, index date and working status. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome was the proportion of patients in each group with each pre-existing disease during the 12 months before the index date (ie, before MDD diagnosis in cases). Odds ratios (ORs) for onset of MDD were calculated for each pre-existing disease. A post hoc multivariate analysis examined interactions of metabolic risk factors (diabetes, hypertension, dyslipidaemia), psychiatric disorders (sleep disorders, psychiatric disorders other than depression) and MDD-related symptoms (headache, pain, autonomic nerve imbalance) on MDD diagnosis. RESULTS: There were 13 420 cases and 134 200 controls (mean age 41.9 years; 66.5% male). The prevalence of almost all pre-existing diseases was higher in cases than in controls. The highest ORs (5.8–21.0) were for psychiatric diseases and sleep disorders. Insomnia (21.1% of patients; OR 8.7) and neurosis (9.7%; OR 10.6) were particularly prevalent in the case group. The odds of MDD increased in the presence of metabolic risk factors, psychiatric disorders and/or MDD-related symptoms. CONCLUSIONS: There is a high prevalence of pre-existing diseases in Japanese patients who develop MDD compared with matched controls without MDD. These results suggest that patients with chronic and/or serious diseases should be actively monitored for depression.
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spelling pubmed-88526712022-03-03 Diseases prevalent before major depressive disorder diagnosis: an exploratory nested case–control study using health insurance-based claims data Cho, Yoshinori Mishiro, Izumi Akaki, Tsuyoshi Akimoto, Takafumi Fujikawa, Keita BMJ Open Epidemiology OBJECTIVES: Major depressive disorder (MDD) is often comorbid with other chronic and/or serious diseases. However, little is known about the prevalence of various diseases that are present before MDD onset. We examined the prevalence of all pre-existing diseases in the 12 months before an MDD diagnosis. DESIGN: Exploratory nested case–control study. SETTING: Data, including diagnoses based on International Statistical Classification of Diseases and Related Health Problems, 10th revision codes, were from a Japanese health insurance database (JMDC). PARTICIPANTS: Adults newly diagnosed with MDD during 2015, 2016 or 2017 (but not the preceding year) (cases) were matched (exact) 1:10 to controls by age, sex, index date and working status. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome was the proportion of patients in each group with each pre-existing disease during the 12 months before the index date (ie, before MDD diagnosis in cases). Odds ratios (ORs) for onset of MDD were calculated for each pre-existing disease. A post hoc multivariate analysis examined interactions of metabolic risk factors (diabetes, hypertension, dyslipidaemia), psychiatric disorders (sleep disorders, psychiatric disorders other than depression) and MDD-related symptoms (headache, pain, autonomic nerve imbalance) on MDD diagnosis. RESULTS: There were 13 420 cases and 134 200 controls (mean age 41.9 years; 66.5% male). The prevalence of almost all pre-existing diseases was higher in cases than in controls. The highest ORs (5.8–21.0) were for psychiatric diseases and sleep disorders. Insomnia (21.1% of patients; OR 8.7) and neurosis (9.7%; OR 10.6) were particularly prevalent in the case group. The odds of MDD increased in the presence of metabolic risk factors, psychiatric disorders and/or MDD-related symptoms. CONCLUSIONS: There is a high prevalence of pre-existing diseases in Japanese patients who develop MDD compared with matched controls without MDD. These results suggest that patients with chronic and/or serious diseases should be actively monitored for depression. BMJ Publishing Group 2022-02-15 /pmc/articles/PMC8852671/ /pubmed/35168961 http://dx.doi.org/10.1136/bmjopen-2020-048233 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Epidemiology
Cho, Yoshinori
Mishiro, Izumi
Akaki, Tsuyoshi
Akimoto, Takafumi
Fujikawa, Keita
Diseases prevalent before major depressive disorder diagnosis: an exploratory nested case–control study using health insurance-based claims data
title Diseases prevalent before major depressive disorder diagnosis: an exploratory nested case–control study using health insurance-based claims data
title_full Diseases prevalent before major depressive disorder diagnosis: an exploratory nested case–control study using health insurance-based claims data
title_fullStr Diseases prevalent before major depressive disorder diagnosis: an exploratory nested case–control study using health insurance-based claims data
title_full_unstemmed Diseases prevalent before major depressive disorder diagnosis: an exploratory nested case–control study using health insurance-based claims data
title_short Diseases prevalent before major depressive disorder diagnosis: an exploratory nested case–control study using health insurance-based claims data
title_sort diseases prevalent before major depressive disorder diagnosis: an exploratory nested case–control study using health insurance-based claims data
topic Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8852671/
https://www.ncbi.nlm.nih.gov/pubmed/35168961
http://dx.doi.org/10.1136/bmjopen-2020-048233
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