Gastric vs Small Bowel Feeding in Critically Ill Neurologically Injured Patients
Bibliographic record
Abstract
BACKGROUND: To evaluate gastric compared with small bowel feeding on nutrition and clinical outcomes in critically ill, neurologically injured patients. MATERIALS AND METHODS: International, prospective observational studies involving 353 intensive care units (ICUs) were included. Eligible patients were critically ill, mechanically ventilated with neurological diagnoses who remained in the ICU and received enteral nutrition (EN) exclusively for at least 3 days. Sites provided data, including patient characteristics, nutrition practices, and 60-day outcomes. Patients receiving gastric or small bowel feeding were compared. Covariates including age, sex, body mass index, and Acute Physiology and Chronic Health Evaluation II score were used in the adjusted analyses. RESULTS: Of the 1691 patients who met our inclusion criteria, 1407 (94.1%) received gastric feeding and 88 (5.9%) received small bowel feeding. Adequacy of calories from EN was highest in the gastric group (60.2% and 52.3%, respectively, unadjusted analysis; P = .001), but this was not significant in the adjusted model (P = .428). The likelihood of EN interruptions due to gastrointestinal (GI) complications was higher for the gastric group (19.6% vs 4.7%, unadjusted model; P = .015). There were no significant differences in the rate of discontinuation of mechanical ventilation (hazard ratio [HR], 0.86; 95% confidence interval [CI], 0.66-1.12; P = .270) or the rate of being discharged alive from the ICU (HR, 0.94; 95% CI, 0.72-1.23; P = .641) and hospital (HR, 1.16; 95% CI, 0.87-1.55; P = .307) after adjusting for confounders. CONCLUSIONS: Despite a higher likelihood of EN interruptions due to GI complications, gastric feeding may be associated with better nutrition adequacy, but neither route is associated with better clinical outcomes.
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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 | 0.008 |
| 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 | 0.000 |
| 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".