Associations between off-label low-dose olanzapine or quetiapine and cardiometabolic mortality
Bibliographic record
Abstract
Olanzapine and quetiapine are routinely used off-label at lower doses, though it remains unclear whether treatment is associated with mortality. Here, we examined the associations between low-dose olanzapine/quetiapine, defined as 5 mg/day of olanzapine equivalents (OE) with cardiometabolic mortality in a population-based, longitudinal cohort of individuals who sought specialized psychiatric services. Through cross-linked Swedish registries, 428,525 individuals without psychotic, bipolar, or cardiometabolic disorders, or previous treatment with antipsychotics or cardiometabolic-related drugs were followed for up to 10.5 years. Extended stratified Cox proportional hazards regressions were employed to estimate the hazard ratios (HR) of cardiometabolic mortality as a function of cumulative OE exposures, adjusted for age, sex, inpatient care, and time-dependent psychiatric diagnoses and treatments. Individuals were followed for a total of 2.1 million person-years. Treatment with olanzapine/quetiapine occurred in 18,317 of the cohort. In total, 2606 cardiometabolic-related deaths occurred. Treatment status (treated vs. untreated) was not significantly associated with cardiometabolic mortality (adjusted HR 0.86, 95% CI 0.64-1.15, P = 0.307). However, compared to no treatment, treatment for <6 months was significantly associated with a reduced risk (adjusted HR 0.56, 95% CI 0.37-0.87, P = 0.010) whereas treatment for 6-12 months was significantly associated with an increased risk (adjusted HR 1.89, 95% CI 1.22-2.92, P = 0.004), but not significantly beyond 12 months. Among those treated, each year exposed to an average 5 mg/day was significantly associated with increased cardiometabolic mortality (adjusted HR 1.45, 95% CI 1.06-1.99, P = 0.019). Overall, low-dose olanzapine/quetiapine treatment was weakly associated with cardiometabolic mortality. Clinicians should consider potential cardiometabolic sequelae at lower doses.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".