Rising hospitalization rates for inflammatory bowel disease in the United States between 1998 and 2004#
Bibliographic record
Abstract
BACKGROUND: Recent epidemiological studies suggest that the prevalences of Crohn's disease (CD) and ulcerative colitis (UC) are increasing in the United States. We sought to determine whether nationwide rates of inflammatory bowel disease (IBD) hospitalizations have increased in response to temporal trends in prevalence. METHODS: We identified all admissions with a primary diagnosis of CD or UC, or 1 of their complications in the Nationwide Inpatient Sample between 1998 and 2004. National estimates of hospitalization rates and rates of surgery were determined using the U.S. Census population as the denominator. RESULTS: There were an estimated 359,124 and 214,498 admissions for CD and UC, respectively. The overall hospitalization rate for CD was 18.0 per 100,000 and that for UC was 10.8 per 100,000. There was a 4.3% annual relative increase in hospitalization rate for CD (P < 0.0001) and a 3.0% annual increase for UC (P < 0.0001). Surgery rates were 3.4 bowel resections per 100,000 for CD and 1.2 colectomies per 100,000 for UC and remained stable. There were no temporal patterns for average length of stay for CD (5.8 days) or for UC (6.8 days). The national estimate of total inpatient charges attributable to CD increased from $762 million to $1,330 million between 1998 and 2004, and that for UC increased from $592 million to $945 million. CONCLUSIONS: Hospitalization rates for IBD, particularly CD, have increased within a 7-year period, incurring a substantial rise in inflation-adjusted economic burden. The findings reinforce the need for effective treatment strategies to reduce IBD complications.
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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 | 0.002 |
| 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 | 0.001 | 0.001 |
| 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".