Loading...

4,068 posters, 219 videos, 101 topics, 69 sessions, 14,365 authors, 6,128 institutions

ePostersLive by SciGen Technologies S.A. All rights reserved.

Alzheimer's Association International Conference 2026

July 12-15, 2026 | London, United Kingdom, and Online

Alzheimer's Association International Conference 2026 banner

9794

Dimorphic Mortality In Alzheimer’s Disease Patients Using Antipsychotics: A Real-world Study

Poster Presenter

Carolina Moura

Authors

Carolina Moura

Affiliations

null

Part of Topic

Background: Antipsychotic (AP) use in patients with Alzheimer’s disease (AD) is associated with increased mortality. However, potential sex differences among AP users with AD remain underexplored.

Methods: We conducted a retrospective cohort study using TriNetX, a global real-world health research network. Patients diagnosed with AD and prescribed antipsychotics were stratified by sex. Mortality risk, odds ratios (OR), risk ratios (RR), and hazard ratios (HR) were calculated. Kaplan–Meier survival curves and log-rank tests were used to assess survival probability over time.

Results: The female AP user cohort (n=112,566) showed lower mortality (25.2%) than male users (n=74,251; 27.6%). The risk difference was -0.024 (95% CI: -0.028 to -0.020, p<0.001), with a RR of 0.913 and OR of 0.883. Median survival was longer in females (3,018 days) than in males (2,372 days). Survival probabilities at the end of follow-up were 19.1% for women and 26.3% for men. The HR for female mortality was 0.823 (95% CI: 0.809-0.838, p<0.001). In an analysis including patients with longer follow-up, mortality remained significantly lower in females (17.2%) compared to males (27.2%), with a risk difference of -0.10 and HR of 0.544 (95% CI: 0.533-0.554, p<0.001). Median survival was 6,770 days for females versus 3,383 days for males.

Conclusions: Among Alzheimer’s patients using antipsychotics, females demonstrated lower mortality and longer survival than males. These findings underscore the importance of considering sex as a biological variable in treatment decisions and mortality risk assessments for AP use in AD.

Comments

Email is required but is not shown publicly.

Loading comments...

aaic2026 banner
Copyright © 2015-2026, ePostersLive® SciGen is a registered trademark of SciGen Technologies S.A. Patent pending.

This website and third-party tools we use rely on cookies for the best user experience. By selecting "I agree", you agree to cookie usage as described in our Privacy Policy.