Small and large bowel anatomy is associated with enteral autonomy in infants with short bowel syndrome: A retrospective cohort study
Bibliographic record
Abstract
BACKGROUND: Achievement of enteral autonomy (EA) is the ultimate treatment goal in pediatric intestinal failure (IF). We aimed to assess predictors of EA in pediatric short bowel syndrome (SBS) and explore the impact of residual small bowel (SB) and large bowel (LB) length on EA. METHODS: A retrospective cohort study was performed on infants aged <12 months (n = 367, six centers) with SBS referred between 2010 and 2015. The cohort was stratified based on the achievement of EA. Statistical testing was completed using t-test, chi-square, Cox proportional hazards regression model, and Kaplan-Meier analysis. RESULTS: EA was achieved in 229 patients. In the multivariable analysis, the percentage of residual LB (hazard ratio [HR] = 1.02; 95% CI = 1.01-1.02) and SB (HR = 1.01; 95% CI = 1.01-1.02) length, presence of the ileocecal valve (HR = 2.02; 95% CI=1.41-2.88), and not coming from a high-volume transplantation center (HR = 2.42; 95% CI = 1.68-3.49) were positively associated with EA, whereas a negative association was seen with the presence of stoma at the time when shortest remnant was documented (HR = 0.72; 95% CI = 0.52-1.00). EA achievement was significantly different between the anatomical subgroups (log-rank test P < 0.001) with an EA rate of 80.4% in infants with ≥50% SB and LB (median time 209 days); 62.5% with ≥50% SB and <50% LB (397 days); 58.3% with <50% SB and ≥50% LB (1192 days), and 25.9% with <50% SB and LB. Necrotizing enterocolitis (NEC) was not associated with a better achievement of EA (NEC vs other etiologies: log-rank test P = 0.33). CONCLUSIONS: Overall, 62% of infants with IF secondary to SBS achieved EA over a mean time of follow-up of 2.3 years. A colon length of >50% can compensate for the loss of small bowel (<50%) and account for similar EA rates as those in children with residual SB > 50%.
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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) | 0.001 | 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".