Protein Delivery in the Intensive Care Unit: Optimal or Suboptimal?
Bibliographic record
Abstract
Emerging evidence suggests that exogenous protein/amino acid supplementation has the potential to improve the recovery of critically ill patients. After a careful review of the published evidence, experts have concluded that critically ill patients should receive up to 2.0-2.5 g/kg/d of protein. Despite this, however, recent review of current International Nutrition Survey data suggests that protein in critically ill patients is underprescribed and grossly underdelivered. Furthermore, the survey suggests that most of protein administration comes from enteral nutrition (EN) despite the availability of products and protocols that enhance the delivery of protein/amino acids in the intensive care unit (ICU) setting. While future research clarifies the dose, timing, and composition for exogenous protein administration, as well as identification of patients who will benefit the most, ongoing process improvement initiatives should target a concerted effort to increase protein intake in the critically ill. This assertion follows from the notion that current patients are possibly being harmed while we wait for confirmatory evidence. Further research should also develop better tools to enable bedside practitioners to monitor optimal or adequate protein intake for individual patients. Finally, exploring the effect of combining adequate protein delivery with early mobility and/or resistance exercise in the ICU setting has the greatest potential for improving the functional outcomes of survivors of critical illness and warrants further study.
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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 | 0.013 | 0.062 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".