Permissive Underfeeding or Standard Enteral Feeding in High– and Low–Nutritional-Risk Critically Ill Adults. <i>Post Hoc</i> Analysis of the PermiT Trial
Bibliographic record
Abstract
RATIONALE: The optimal nutritional strategy for critically ill adults at high nutritional risk is unclear. OBJECTIVES: To examine the effect of permissive underfeeding with full protein intake compared with standard feeding on 90-day mortality in patients with different baseline nutritional risk. METHODS: This is a post hoc analysis of the PermiT (Permissive Underfeeding versus Target Enteral Feeding in Adult Critically Ill Patients) trial. MEASUREMENTS AND MAIN RESULTS: Nutritional risk was categorized by the modified Nutrition Risk in Critically Ill score, with high nutritional risk defined as a score of 5-9 and low nutritional risk as a score of 0-4. Additional analyses were performed by categorizing patients by body mass index, prealbumin, transferrin, phosphate, urinary urea nitrogen, and nitrogen balance. Based on the Nutrition Risk in Critically Ill score, 378 of 894 (42.3%) patients were categorized as high nutritional risk and 516 of 894 (57.7%) as low nutritional risk. There was no association between feeding strategy and mortality in the two categories; adjusted odds ratio (aOR) of 0.84 (95% confidence interval [CI], 0.56-1.27) for high nutritional risk and 1.01 (95% CI, 0.64-1.61) for low nutritional risk (interaction P = 0.53). Findings were similar in analyses using other definitions, with the exception of prealbumin. The association of permissive underfeeding versus standard feeding and 90-day mortality differed when patients were categorized by baseline prealbumin level (≤0.10 g/L: aOR, 0.57 [95% CI, 0.31-1.05]; >0.10 and ≤0.15 g/L: aOR, 0.79 [95% CI, 0.42-1.48]; >0.15 g/L: aOR, 1.55 [95% CI, 0.80, 3.01]; interaction P = 0.009). CONCLUSIONS: Among patients with high and low nutritional risk, permissive underfeeding with full protein intake was associated with similar outcomes as standard feeding.
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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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.006 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".