Optimizing the Benefits and Minimizing the Risks of Enteral Nutrition in the Critically Ill: Role of Small Bowel Feeding
Bibliographic record
Abstract
BACKGROUND: Strategies that maximize the delivery of enteral nutrition while minimizing the associated risks have the potential to improve the outcomes of critically ill patients. By delivering enteral feeds in the small bowel, beyond the pylorus, the frequency of regurgitation and the risk of aspiration is thought to be decreased while at the same time, nutrient delivery is maximized. The purpose of this paper is to systematically review those studies that compare gastric with small bowel feeding. METHODS: We searched computerized bibliographic databases, personal files, and relevant reference lists to identify eligible studies. Only randomized, clinical trials of critically ill patients that compared small bowel and gastric feedings were included in this review. In an independent fashion, relevant data on the methodology and outcomes of primary studies were abstracted in duplicate. RESULTS: There were 10 studies that met the inclusion criteria for this review. In 1 study, small bowel feeding was associated with a reduction in gastroesophageal regurgitation and a trend toward reduced pulmonary aspiration. Several studies document that small bowel feeding was associated with an increase in protein and calories delivered and a shorter time to target dose of nutrition. Compared with gastric feeding, when the results of 7 randomized trials were aggregated statistically, small bowel feeding was associated with a reduction in pneumonia (relative risk, 0.76; 95% confidence intervals, 0.59, 0.99). There was no difference in mortality rates between the 2 groups. CONCLUSIONS: Small bowel feeding may be associated with a reduction in gastroesophageal regurgitation, an increase in nutrient delivery, a shorter time to achieve desired target nutrition, and a lower rate of ventilator-associated pneumonia.
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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 | 0.008 | 0.041 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".