Achieving Protein Targets in the ICU Using a Specialized High‐Protein Enteral Formula: A Quality Improvement Project
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Bibliographic record
Abstract
BACKGROUND: To meet protein needs in critical illness (CI), guidelines suggest ≥1.2-2.5 g protein/kg/d; however, most intensive care unit (ICU) patients receive ≤0.7 g/kg/d. Higher protein enteral nutrition (EN) formulas may be part of the solution to provide prescribed protein. Our objective was to demonstrate that an EN formula with 37% protein can deliver ≥80% of prescribed protein, without overfeeding calories within the first 5 days of feeding and to describe ICU clinicians' experience. METHODS: ), nutrition targets, daily protein and energy delivered, feeding interruptions, and general tolerance were recorded. RESULTS: Forty-four of 49 patients received the formula ≥2 days. Average protein prescribed was 137.5 g/d (82.5-200) or 1.9 g/kg/d (1.5-2.5). Average protein delivered was 116.9 g/d (33.5-180) or 1.6 g/kg/d (0.4-2.4). Seventy-five percent to 83% of patients received ≥80% prescribed protein on days 2-5. Average energy prescribed was 1638.6 kcal/d (990-2500) or 17.8 kcal/kg (11-26). Average energy delivered was 1523.9 kcal/d (693.0-2557.5) or 17.3 kcal/kg/d (1.35-64.7). The formula was well tolerated with no gastrointestinal symptoms reported in 38 (86%) patients. The most common reasons to prescribe the formula were obesity and use of fat-based medications. CONCLUSIONS: We demonstrated in a QI study that a high-protein EN formula was tolerated in a small, heterogeneous group of ICU patients and effective in meeting protein targets without overfeeding.
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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 | 0.008 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it