Standardized Feeding Protocol Improves Delivery and Acceptance of Enteral Nutrition in Children Immediately After Liver Transplantation
Bibliographic record
Abstract
Delivery of adequate nutrition after liver transplantation (LT) surgery is an important goal of postoperative care. Existing guidelines recommend early enteral nutrition after abdominal surgery and in the child who is critically ill but data on nutritional interventions after LT in children are sparse. We evaluated the impact of a standardized postoperative feeding protocol on enteral nutrition delivery in children after LT. Data from 49 children (ages 0-18 years) who received a LT prior to feeding protocol implementation were compared with data for 32 children undergoing LT after protocol implementation. The 2 groups did not differ with respect to baseline demographic data. After protocol implementation, enteral nutrition was started earlier (2 versus 3 days after transplant; P = 0.005) and advanced faster when a feeding tube was used (4 versus 8 days; P = 0.03). Protocol implementation was also associated with reduced parenteral nutrition use rates (47% versus 75%; P = 0.01). No adverse events occurred after protocol implementation. Hospital length of stay and readmission rates were not different between the 2 groups. In conclusion, implementation of a postoperative nutrition protocol in children after LT led to optimized nutrient delivery and reduced variability of 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 | 0.003 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".