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Antidepressant use and risk of adverse outcomes: population-based cohort study.

Bansal, N; Hudda, M; Payne, RA; Smith, DJ; Kessler, D; Wiles, N (2022) Antidepressant use and risk of adverse outcomes: population-based cohort study. BJPsych Open, 8 (5). e164. ISSN 2056-4724 https://doi.org/10.1192/bjo.2022.563
SGUL Authors: Hudda, Mohammed Taqui

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Abstract

BACKGROUND: Antidepressants are one of the most widely prescribed drugs in the global north. However, little is known about the health consequences of long-term treatment. AIMS: This study aimed to investigate the association between antidepressant use and adverse events. METHOD: The study cohort consisted of UK Biobank participants whose data was linked to primary care records (N = 222 121). We assessed the association between antidepressant use by drug class (selective serotonin reuptake inhibitors (SSRIs) and 'other') and four morbidity (diabetes, hypertension, coronary heart disease (CHD), cerebrovascular disease (CV)) and two mortality (cardiovascular disease (CVD) and all-cause) outcomes, using Cox's proportional hazards model at 5- and 10-year follow-up. RESULTS: SSRI treatment was associated with decreased risk of diabetes at 5 years (hazard ratio 0.64, 95% CI 0.49-0.83) and 10 years (hazard ratio 0.68, 95% CI 0.53-0.87), and hypertension at 10 years (hazard ratio 0.77, 95% CI 0.66-0.89). At 10-year follow-up, SSRI treatment was associated with increased risks of CV (hazard ratio 1.34, 95% CI 1.02-1.77), CVD mortality (hazard ratio 1.87, 95% CI 1.38-2.53) and all-cause mortality (hazard ratio 1.73, 95% CI 1.48-2.03), and 'other' class treatment was associated with increased risk of CHD (hazard ratio 1.99, 95% CI 1.31-3.01), CVD (hazard ratio 1.86, 95% CI 1.10-3.15) and all-cause mortality (hazard ratio 2.20, 95% CI 1.71-2.84). CONCLUSIONS: Our findings indicate an association between long-term antidepressant usage and elevated risks of CHD, CVD mortality and all-cause mortality. Further research is needed to assess whether the observed associations are causal, and elucidate the underlying mechanisms.

Item Type: Article
Additional Information: © The Author(s), 2022. Published by Cambridge University Press on behalf of the Royal College of Psychiatrists. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Keywords: Antidepressants, epidemiology, outcome studies, primary care, risk assessment, 1103 Clinical Sciences, 1117 Public Health and Health Services
SGUL Research Institute / Research Centre: Academic Structure > Population Health Research Institute (INPH)
Journal or Publication Title: BJPsych Open
ISSN: 2056-4724
Language: eng
Dates:
DateEvent
13 September 2022Published
26 July 2022Accepted
Publisher License: Creative Commons: Attribution 4.0
Projects:
Project IDFunderFunder ID
422National Institute for Health Researchhttp://dx.doi.org/10.13039/501100000272
PubMed ID: 36097725
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/114868
Publisher's version: https://doi.org/10.1192/bjo.2022.563

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