10‐Year Review of Pediatric Intestinal Failure: Clinical Factors Associated With Outcome
Bibliographic record
Abstract
Prediction of outcomes in pediatric intestinal failure is challenging but essential to guide intestinal rehabilitation and transplantation decisions. This review of intestinal failure patients spanning 10 years examines clinical details in relation to outcome to identify factors that may refine predictive accuracy. A search was conducted to identify all children with intestinal failure managed at Stollery Children's Hospital between January 1994 and December 2003. They were divided into 3 groups: early death occurring 100 days. The long-term group was divided according to outcome: death or adaptation. Demographics, diagnosis, nutrition requirements, laboratory parameters, and clinical data were recorded. Groups were compared to identify factors associated with outcome. Necrotizing enterocolitis, gastroschisis, and intestinal atresias were the most common causes for intestinal failure; outcome was not related to diagnosis. Although withdrawal of therapy was common in the early death group, most babies had one or more additional significant comorbidity. Among the 29 babies requiring parenteral nutrition for >100 days with known outcomes, 12 died, 16 adapted fully, and 1 received a multivisceral transplant. Intestinal length >40 cm was associated with a significantly increased risk of mortality (P< .001). Abnormal laboratory values (bilirubin, aspartate aminotransferase, alanine aminotransferase, albumin, and platelet count) after 5 months of age were also significantly different between groups. This data, together with data from previous reviews, should be used to investigate potential predictive factors in prospective studies, particularly in the context of expert multidisciplinary care.
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.009 | 0.013 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".