Narrowing the Protein Deficit Gap in Critically Ill Patients Using a Very High‐Protein Enteral Formula
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Bibliographic record
Abstract
BACKGROUND: Protein deficits have been associated with longer intensive care unit (ICU) stays and increased mortality. Current view suggests if protein goals are met, meeting full energy targets may be less important and prevent deleterious effects of overfeeding. We proposed a very-high protein (VHP) enteral nutrition (EN) formula could provide adequate protein, without overfeeding energy, in the first week of critical illness. METHODS: This was a retrospective study of medical/surgical ICU patients receiving EN exclusively for ≥5 days during the first week of ICU admission. Twenty participants received standard EN; 20 participants received the VHP-EN formula (1 kcal/mL, 37% protein). Protein and energy prescribed/received, gastrointestinal tolerance, and feeding interruptions were examined. RESULTS: Forty ICU patients [average Acute Physiology and Chronic Health Evaluation II score of 20.1] were included. Protein prescribed and received was significantly higher in the VHP group vs the standard EN group (135.5 g/d ± 22.9 vs 111.4 g/d ± 25; P = .003 and 112.2 g/d ± 27.8 vs 81.7 g/d ± 16.7, respectively; P = .002). Energy prescribed and received was similar between groups (1696 kcal/d ± 402 vs 1893 kcal/d ± 341, respectively; P = .101 and 1520 kcal/d ± 346 vs 1506 ± 380 kcal/d; P = .901). There were no differences in EN tolerance (P = .065) or feeding interruptions (P = .336). CONCLUSIONS: Use of a VHP formula in ICU patients resulted in higher protein intakes without overfeeding energy or use of modular protein in the first 5 days of exclusive EN.
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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 | 0.002 | 0.055 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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