The Effect of Branched-chain Amino Acids on Blood Urea Nitrogen Levels in Intensive Care Unit and Patients Receiving Total Parenteral Nutrition: A Narrative Literature Review
Bibliographic record
Abstract
Abstract This review was conducted as a narrative literature review using a structured approach to identify, select, evaluate, and synthesize studies on the relationship between branched-chain amino acid (BCAA) supplementation and blood urea nitrogen (BUN) levels in intensive care unit (ICU) and total parenteral nutrition (TPN) patients, guided by Preferred Reporting Items for Systematic reviews and Meta-Analyses and Cochrane recommendations where applicable. Among the key evidence, the PEPaNIC randomized controlled trial investigated early versus late initiation of parenteral nutrition in critically ill children up to 17 years of age admitted to pediatric ICUs in Belgium, Canada, and the Netherlands. In a prespecified subanalysis focusing on term neonates (≤28 days old), outcomes were assessed across overlapping age groups with enteral nutrition initiated as soon as feasible. Outcome assessors were blinded, and analyses were intention-to-treat with adjustments for severity and demographic factors. The study demonstrated that the timing of nutrition initiation influenced the incidence of new infections and ICU dependency, while secondary safety outcomes included mortality and hypoglycemia. These findings highlight how nutritional strategies, including amino acid supplementation, can impact metabolic markers such as BUN and clinical outcomes, providing a relevant foundation for evaluating the potential role of BCAA supplementation in critically ill patients.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.007 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.005 |
| Bibliometrics | 0.008 | 0.007 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".