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- Title
Investigating the link between antipsychotic use and post-stroke infections in older people: multi-centre propensity score analysis.
- Authors
Park, Hae-Yeon; Jung, Moa; Park, Geun-Young; Lee, Jong In; Kim, Youngkook; Kim, Yeo Hyung; Lim, Seong Hoon; Yoo, Yeun Jie; Im, Sun
- Abstract
Background The risk of stroke increases with age, and although previous reports have suggested that infection risk may increase with antipsychotic use, relevant studies after stroke are scarce. We aimed to investigate whether antipsychotics increase post-stroke infection risk in the acute stroke period. Methods This propensity score matching study included adults diagnosed with first-ever stroke between 2011 and 2020 at five university hospitals. In-hospital antipsychotic exposure was defined as any administration during hospitalisation for stroke. The primary outcome was post-stroke infection after the first 2 days of hospitalisation, and the secondary outcome was the presence of pneumonia, bacteraemia and/or bacteriuria. Result Among 23,885 first-ever stroke patients, 2,773 antipsychotic users (age 71.6 ± 12.4, male 54.6%) and 2,773 non-users (age 71.2 ± 13.2, male 54.6%) were selected as matched cohorts. After adjusting for propensity score, antipsychotics were not associated with an increased risk of post-stroke infection (odds ratio 0.99, 95% confidence interval 0.87–1.14). Conclusion While our study did not find conclusive evidence linking antipsychotic medication to an increased risk of post-stroke infection, prescribing these medications should still be approached with prudence. Until further research can provide more definitive insights, clinicians should carefully weigh the potential infection risks when considering antipsychotic treatment during the acute stroke care period.
- Subjects
SOUTH Korea; RISK factors of pneumonia; INFECTION risk factors; RISK assessment; ACADEMIC medical centers; RESEARCH funding; HOSPITAL care; BACTEREMIA; PROBABILITY theory; ANTIPSYCHOTIC agents; BACTERIURIA; RETROSPECTIVE studies; ODDS ratio; DISEASES; LONGITUDINAL method; DELIRIUM; ELECTRONIC health records; RESEARCH; STROKE; CONFIDENCE intervals; PHARMACODYNAMICS; DISEASE risk factors; DISEASE complications; OLD age
- Publication
Age & Ageing, 2024, Vol 53, Issue 6, p1
- ISSN
0002-0729
- Publication type
Article
- DOI
10.1093/ageing/afae117