Detailed Information

Cited 0 time in webofscience Cited 2 time in scopus
Metadata Downloads

Atypical Antipsychotics Augmentation in Patients with Depressive Disorder and Risk of Subsequent Dementia: A Nationwide Population-Based Cohort Study

Full metadata record
DC Field Value Language
dc.contributor.authorKim, Jaehyun-
dc.contributor.authorHa, Tae Hyon-
dc.contributor.authorKim, Kiwon-
dc.contributor.authorLee, Eun-Mi-
dc.contributor.authorKim, Hyekyeong-
dc.contributor.authorKim, Doh Kwan-
dc.contributor.authorWon, Hong-Hee-
dc.contributor.authorLewis, Matthew-
dc.contributor.authorLee, Hyewon-
dc.contributor.authorMyung, Woojae-
dc.date.accessioned2021-09-10T06:27:27Z-
dc.date.available2021-09-10T06:27:27Z-
dc.date.issued2021-
dc.identifier.issn1387-2877-
dc.identifier.issn1875-8908-
dc.identifier.urihttps://scholarworks.bwise.kr/sch/handle/2021.sw.sch/19100-
dc.description.abstractBackground: While atypical antipsychotic medications are widely used for treating depressive disorders, their long-term effects on the risk of subsequent dementia have not been studied adequately. Objective: To investigate whether the risk of dementia differs according to the use of atypical antipsychotic drugs, and compare the effects of antipsychotic agents on dementia risk in individuals with late-life depressive disorders. Methods: A nationwide population-based retrospective cohort study was conducted using data from the National Health Insurance Service-Senior Cohort of South Korea. Atypical antipsychotic dosages were standardized using a defined daily dose, and the cumulative dosage was calculated. Participants were observed from January 2008 to December 2015. Cox proportional hazard regression analysis was used to estimate the hazard ratios. Results: The cohort included 43,788 elderly adults with depressive disorders: 9,901 participants (22.6%) were diagnosed with dementia. Findings showed that atypical antipsychotics were prescribed to 1,967 participants (4.5%). Compared with non-users, users of atypical antipsychotics experienced a significantly higher risk for dementia with an adjusted hazard ratio (aHR) of 1.541 (95% confidence interval [CI], 1.415-1.678). A cumulative dose-response relationship was observed (test for trend, p < 0.0001). Among atypical antipsychotics, risperidone displayed the highest risk for dementia (aHR 1.767, [95% CI, 1.555-2.009]). Conclusion: In this study of elderly individuals with depressive disorders, atypical antipsychotic use was associated with a significantly higher risk of subsequent dementia. Healthcare professionals should be aware of this potential long-term risk. A limitation that should be mentioned is that we could not exclude patients with bipolar depression.-
dc.format.extent11-
dc.language영어-
dc.language.isoENG-
dc.publisherIOS Press-
dc.titleAtypical Antipsychotics Augmentation in Patients with Depressive Disorder and Risk of Subsequent Dementia: A Nationwide Population-Based Cohort Study-
dc.typeArticle-
dc.publisher.location네델란드-
dc.identifier.doi10.3233/JAD-200994-
dc.identifier.scopusid2-s2.0-85102965325-
dc.identifier.wosid000627617100015-
dc.identifier.bibliographicCitationJournal of Alzheimer's Disease, v.80, no.1, pp 197 - 207-
dc.citation.titleJournal of Alzheimer's Disease-
dc.citation.volume80-
dc.citation.number1-
dc.citation.startPage197-
dc.citation.endPage207-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaNeurosciences & Neurology-
dc.relation.journalWebOfScienceCategoryNeurosciences-
dc.subject.keywordPlusALZHEIMERS-DISEASE-
dc.subject.keywordPlusELDERLY-PATIENTS-
dc.subject.keywordPlusCOGNITIVE DECLINE-
dc.subject.keywordPlusISCHEMIC-STROKE-
dc.subject.keywordPlusBIPOLAR-
dc.subject.keywordPlusMEDICATION-
dc.subject.keywordPlusLITHIUM-
dc.subject.keywordPlusSCHIZOPHRENIA-
dc.subject.keywordPlusRISPERIDONE-
dc.subject.keywordPlusSEVERITY-
dc.subject.keywordAuthorAntipsychotic agents-
dc.subject.keywordAuthordementia-
dc.subject.keywordAuthordepression-
dc.subject.keywordAuthormood disorders-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Medical Sciences > Department of Health Administration and Management > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Lee, Hye won photo

Lee, Hye won
College of Medical Sciences (Department of Health Administration and Management)
Read more

Altmetrics

Total Views & Downloads

BROWSE