Prevalence and Impact of Acute Pancreatitis on Hospitalization Outcomes in a Cohort of Patients With Crohn’s Disease
Bibliographic record
Abstract
Background: Few studies evaluated the risk of acute pancreatitis (AP) in patients with Crohn's disease (CD). It's controversial if AP can be considered as an extraintestinal manifestation of CD. We studied this potential association in a retrospective cohort of patients with CD. Methods: We draw our cohort from the Nationwide Readmission Databases 2016 - 2018. We used the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes to identify all adult patients admitted with a diagnosis of CD. Patient with a comorbid AP were identified. We analyzed the significant impact of AP on hospitalization outcomes. A multivariate regression analysis was used to identify factors associated with AP. Results: We included 214,622 patients discharged from an index hospitalization for CD, 1.1% had AP. AP was independently associated with higher odds of inpatient mortality (odds ratio (OR): 1.831; 95% confidence interval (CI): 1.345 - 2.492, P < 0.001), gallstone disease (OR: 4.047; 95% CI: 3.343 - 4.9, P < 0.001), nonalcoholic fatty liver disease (NAFLD) (OR: 3.568; 95% CI: 3.08 - 4.133, P < 0.001), and hypercalcemia (OR: 1.964; 95% CI: 1.302 - 2.965, P = 0.001). Thirty-day readmission analysis showed that CD patients with AP were more commonly to be readmitted for AP than for any other reason. Conclusions: In our nationwide cohort of CD patients, there was a significant association between AP and worse hospitalization outcomes. Additionally, we found independent associations for having AP that may help identify patients at high risk.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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".