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Article: Treatment-resistant depression and risk of autoimmune diseases: evidence from a population-based cohort and nested case-control study

TitleTreatment-resistant depression and risk of autoimmune diseases: evidence from a population-based cohort and nested case-control study
Authors
Issue Date3-Mar-2023
PublisherSpringer Nature [academic journals on nature.com]
Citation
Translational Psychiatry, 2023, v. 13, n. 1 How to Cite?
Abstract

Recent literature indicates that patients with depression had increased immune activation. We hypothesised that treatment-resistant depression (TRD), an indicator of non-responsive depression with long-term dysregulated inflammation, could be an independent risk factor for subsequent autoimmune diseases. We performed a cohort study and a nested case-control study to examine the association between TRD and risk of autoimmune diseases, and to explore potential sex-specific difference. Using electronic medical records in Hong Kong, we identified 24,576 patients with incident depression between 2014 and 2016 without autoimmune history and followed up from diagnosis to death or December 2020 to identify TRD status and autoimmune incidence. TRD was defined as having at least two antidepressant regimens and the third regimen to confirm previous treatment failures. Based on age, sex and year of depression, we matched TRD patients 1:4 to the non-TRD in the cohort analysis using nearest-neighbour matching, and matched cases and controls 1:10 using incidence density sampling in the nested case-control analysis. We conducted survival analyses and conditional logistic regression respectively for risk estimation, adjusting for medical history. Across the study period, 4349 patients without autoimmune history (17.7%) developed TRD. With 71,163 person-years of follow-up, the cumulative incidence of 22 types of autoimmune diseases among the TRD patients was generally higher than the non-TRD (21.5 vs. 14.4 per 10,000 person-years). Cox model suggested a non-significant association (HR:1.48, 95% CI: 0.99–2.24, p = 0.059), whereas conditional logistic model showed a significant association (OR: 1.67, 95% CI: 1.10–2.53, p = 0.017) between TRD status and autoimmune diseases. Subgroup analysis showed that the association was significant in organ-specific diseases but not in systemic diseases. Risk magnitudes were generally higher among men compared to women. In conclusion, our findings provide evidence for an increased risk of autoimmune diseases in patients with TRD. Controlling chronic inflammation in hard-to-treat depression might play a role in preventing subsequent autoimmunity.


Persistent Identifierhttp://hdl.handle.net/10722/329095
ISSN
2023 Impact Factor: 5.8
2023 SCImago Journal Rankings: 2.203
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorChan, VKY-
dc.contributor.authorLuo, H-
dc.contributor.authorChan, SSM-
dc.contributor.authorLau, CS-
dc.contributor.authorYeung, WWY-
dc.contributor.authorPeng, K-
dc.contributor.authorTong, XN-
dc.contributor.authorLam, MPS-
dc.contributor.authorWong, ICK-
dc.contributor.authorLi, X-
dc.date.accessioned2023-08-05T07:55:15Z-
dc.date.available2023-08-05T07:55:15Z-
dc.date.issued2023-03-03-
dc.identifier.citationTranslational Psychiatry, 2023, v. 13, n. 1-
dc.identifier.issn2158-3188-
dc.identifier.urihttp://hdl.handle.net/10722/329095-
dc.description.abstract<p>Recent literature indicates that patients with depression had increased immune activation. We hypothesised that treatment-resistant depression (TRD), an indicator of non-responsive depression with long-term dysregulated inflammation, could be an independent risk factor for subsequent autoimmune diseases. We performed a cohort study and a nested case-control study to examine the association between TRD and risk of autoimmune diseases, and to explore potential sex-specific difference. Using electronic medical records in Hong Kong, we identified 24,576 patients with incident depression between 2014 and 2016 without autoimmune history and followed up from diagnosis to death or December 2020 to identify TRD status and autoimmune incidence. TRD was defined as having at least two antidepressant regimens and the third regimen to confirm previous treatment failures. Based on age, sex and year of depression, we matched TRD patients 1:4 to the non-TRD in the cohort analysis using nearest-neighbour matching, and matched cases and controls 1:10 using incidence density sampling in the nested case-control analysis. We conducted survival analyses and conditional logistic regression respectively for risk estimation, adjusting for medical history. Across the study period, 4349 patients without autoimmune history (17.7%) developed TRD. With 71,163 person-years of follow-up, the cumulative incidence of 22 types of autoimmune diseases among the TRD patients was generally higher than the non-TRD (21.5 vs. 14.4 per 10,000 person-years). Cox model suggested a non-significant association (HR:1.48, 95% CI: 0.99–2.24, <em>p</em> = 0.059), whereas conditional logistic model showed a significant association (OR: 1.67, 95% CI: 1.10–2.53, <em>p</em> = 0.017) between TRD status and autoimmune diseases. Subgroup analysis showed that the association was significant in organ-specific diseases but not in systemic diseases. Risk magnitudes were generally higher among men compared to women. In conclusion, our findings provide evidence for an increased risk of autoimmune diseases in patients with TRD. Controlling chronic inflammation in hard-to-treat depression might play a role in preventing subsequent autoimmunity.<br></p>-
dc.languageeng-
dc.publisherSpringer Nature [academic journals on nature.com]-
dc.relation.ispartofTranslational Psychiatry-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleTreatment-resistant depression and risk of autoimmune diseases: evidence from a population-based cohort and nested case-control study-
dc.typeArticle-
dc.identifier.doi10.1038/s41398-023-02383-9-
dc.identifier.scopuseid_2-s2.0-85149287276-
dc.identifier.volume13-
dc.identifier.issue1-
dc.identifier.eissn2158-3188-
dc.identifier.isiWOS:000942770300001-
dc.identifier.issnl2158-3188-

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