Phenotype, Management, and Outcomes in Paediatric Acute Pancreatitis: A Real‐Life Cross‐Sectional Study
Bibliographic record
Abstract
AIM: Limited Canadian data on paediatric acute pancreatitis exist. A meta-analysis of 48 studies reported equal prevalence of acute pancreatitis among various aetiologies, with rates of severe acute pancreatitis at 13.7% in North America. The 2018 NASPGHAN Pancreas Committee position statement highlighted the need for evidence on fluid management and early enteral nutrition. We aimed to evaluate the epidemiology and management of acute pancreatitis at a tertiary care centre. METHODS: Data were extracted from a hospital database for children diagnosed with acute pancreatitis from January 2014 to December 2021. Descriptive analyses were conducted using SAS software. RESULTS: Two hundred eight patients (49.0% female) developed acute pancreatitis. The median age was 12.5 years. The most common aetiologies were medication (20.2%), biliary disease (16.4%) and infections (15.4%). The prevalence of moderately severe acute pancreatitis was 10.6%; no patients developed severe acute pancreatitis. Nearly all patients (95.7%) received intravenous fluids. Dietary management during the first 24 h included enteral nutrition (8.2%), oral feeding (32.2%) and fasting (49.5%). CONCLUSIONS: Paediatric acute pancreatitis has diverse aetiologie, and its management generally aligns with NASPGHAN guidelines. Future studies should focus on the identification of predictive factors of severity in the paediatric population based on recent severity classifications.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".