Interrupted Nutrition Support in Patients With Burn Injuries: A Single-Centre Observational Study
Bibliographic record
Abstract
BACKGROUND: Enteral nutrition (EN) is essential to meet the increased metabolic requirements of burn-injured patients. However, feeds are often suspended for care. This study examines the interruptions in EN (IEN). OBJECTIVE: To determine the frequency and duration of IEN and whether these interruptions are predictable or unpredictable. DESIGN: This retrospective chart review of 27 adult burn patients examined age, sex, body mass index, percentage of total body surface area, length of hospital stay, predicted energy requirements from equations and indirect calorimetry, EN start time, time EN reached goal rate, and interruptions to EN. RESULTS: Predictable interruptions accounted for 74.5% (frequency) and 81.6% (duration) of total interruptions. The most frequent and time-consuming interruptions were perioperative period, extubation, and tests/procedures (predictable) versus high gastric residual volume, emesis/nausea, and feeding tube displacement (unpredictable). CONCLUSIONS: Most IEN were due to predictable events. Based on these findings, compensating for predictable interruptions to meet nutritional requirements in burn patients is recommended.
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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 | 0.001 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".