A154 TEMPORAL TRENDS OF DEPRESSION HOSPITALIZATION AND SUICIDE DEATH IN THOSE WITH INFLAMMATORY BOWEL DISEASE
Bibliographic record
Abstract
Abstract Background Individuals with inflammatory bowel disease (IBD) are known to be more susceptible to mental health disorders such as depression. However, literature examining severe outcomes of depression in IBD, including hospitalizations due to depression and death by suicide, is limited. Aims To describe trends in depression hospitalizations and suicide deaths in individuals with IBD living in Alberta compared to matched controls. Methods This population-based study used a validated algorithm in administrative data to identify the prevalent IBD population and 10 to 1 age- and sex-matched controls in Alberta from fiscal year 2002/03 to 2021/22. The primary outcomes were hospitalization for depression and suicide death. Annual prevalence rates of depression hospitalization were calculated per 1,000 persons. Average annual percent change (AAPC) with 95% confidence intervals (CI) were calculated from Poisson or negative binomial models. Rates and AAPCs for depression hospitalization in IBD cases were stratified by age (<18, 18–40, 41–64, and ≥65), sex (male or female), and IBD type (Crohn’s disease or ulcerative colitis and inflammatory bowel disease unclassified [IBD-U]). Suicide deaths were reported as a proportion of the prevalent IBD population and as an AAPC (95% CI) calculated from a log-binomial model. Results Table 1 describes depression hospitalizations in the prevalent IBD population (n=42,903). Hospitalization rates for depression in those with IBD decreased with an AAPC of −4.25% (95% CI: −5.51, −2.96) from 4.42 per 1,000 in 2002/23 to 2.08 per 1,000 in 2021/22, while hospitalization rates for depression in controls decreased with an APPC of −2.37% (95% CI: −2.90, −1.94) (Table 1, Figure 1). Hospitalization rates for depression in those with IBD decreased for all stratifications except pediatric cases (AAPC: 2.03%; 95% CI: −5.99, 10.72) (Table 1). Suicide deaths occured in 0.23% (n=99) of the prevalent IBD population and remained stable over time (AAPC: −0.09%; 95% CI: −3.82, 3.79). Conclusions Despite the decreasing hospitalization rates for depression in individuals with IBD, suicide deaths have remained stable at 0.23%. AAPCs and rates of depression hospitalization in those with IBD, stratified by age, sex, and IBD type *denotes statistical significance Temporal trends in depression hospitalization in IBD cases and matched controls Funding Agencies CIHR
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".