Initiation of Psychotropic Drugs in Spouses of Patients With Early‐Onset Alzheimer's Disease: A Matched Cohort Study
Bibliographic record
Abstract
OBJECTIVES: The diagnosis of early-onset Alzheimer's disease (EOAD) can cause emotional stress not only to the patients themselves but also to their spouses. This study aimed to evaluate the risk of psychiatric disorders in spouses of EOAD patients, using psychotropic drug initiation as a surrogate indicator. METHODS: A cohort study was conducted using a Japanese claims database, with spouses of EOAD patients (exposed spouses) matched with spouses of non-EOAD individuals (reference spouses) up to a 1:10 ratio. Primary outcome was the initiation of mood disorder drugs, and secondary outcomes were the initiation of drugs for anxiety disorders, sleep disorders, and schizophrenia spectrum disorders. Four study cohorts were created according to each outcome analysis. Multivariable Cox regression models were used to estimate adjusted hazard ratios (aHRs) and their 95% confidence intervals (CIs) for study outcomes. RESULTS: The analysis of mood disorder drugs included 395 exposed spouses and 3711 reference spouses. The proportion of patients excluded from the analysis due to prescription of mood disorder drugs during the baseline period was 4.3% higher among exposed spouses than reference spouses. There was no major difference between groups with respect to mood disorder drug initiation after 1 year (aHR, 2.08 [95% CI, 0.61 to 7.13]). In subgroup analysis of females and dependents, exposed spouses showed a higher rate of initiation (females: aHR, 6.39 [95% CI, 1.24 to 32.80]; dependents: aHR, 6.47 [95% CI, 1.25 to 33.55]). No substantial differences in secondary outcomes were observed in any comparison. CONCLUSIONS: This study does not conclusively demonstrate an increase in mood disorder drug initiation among spouses of EOAD patients overall; however, initiation rates may be higher among female or dependent spouses. Our findings also suggest that exposed spouses experience significant psychological stress prior to their partners' EOAD diagnoses.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".