Increasing Hospitalizations in Inflammatory Bowel Disease Among Children in the United States, 1988–2011
Bibliographic record
Abstract
BACKGROUND: Our objective was to characterize national trends in inflammatory bowel disease (IBD)-related hospitalizations for children. We hypothesized that over time, improvements in care would be associated with a decrease in hospitalization rates, similar to what has been observed in Canadian children with IBD. METHODS: Retrospective, serial, cross-sectional analysis of annual, nationally representative samples of children with IBD. RESULTS: Overall, discharges for all children irrespective of diagnosis decreased from 1988 to 2011 (P for trend <0.001). In contrast, discharges for children with IBD rose over the same time period from 6.1 (95% confidence interval [CI], 4.0-8.2) to 8.2 (95% CI, 5.5-10.9) per 100,000 individuals per year (P for trend <0.001). More of this rise occurred in hospitalizations that did not have IBD-related endoscopy or surgery performed (P for trend <0.001). Although mean length of stay decreased over the study period (P for trend <0.001), total hospital days increased over the latter half of the study with a significant increase over the entire study period (P for trend <0.001). CONCLUSIONS: Contrary to clinically informed hypotheses, nationally representative rates of hospitalization for pediatric patients with IBD have increased since the mid-1990s. This directly contrasts with stable rates over the preceding years. Most of the expansion in hospital care seems to be related to hospitalizations that do not include procedures. Several lines of future research may greatly facilitate a better understanding of the epidemiologic, therapeutic, and health care resource issues at play.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".