Complete shielding of multivitamins to reduce toxic peroxides in the parenteral nutrition (C‐SMART‐PN): A randomized controlled pilot study
Bibliographic record
Abstract
BACKGROUND: When exposed to ambient light, parenteral nutrition (PN) contamination with peroxides almost doubles, which increases oxidative stress in preterm infants, contributing to the development of bronchopulmonary dysplasia. The American Society for Parenteral and Enteral Nutrition (ASPEN) recommends complete PN photoprotection to reduce peroxide contamination and optimize its integrity but acknowledges the challenges of its implementation. In this study, a novel photoprotection procedure was tested for its effectiveness in reducing peroxide load and limiting ascorbic acid degradation, and for its feasibility and effectiveness in reducing urinary peroxide levels in preterm infants. METHODS: In vitro evaluation included neonatal lipid injectable emulsion-free PN admixtures prepared and infused according to current practice or the suggested photoprotection procedure through separation and complete shielding of intravenous multivitamin preparation from compounding to administration through photoprotected infusion sets. In vivo evaluation included a single-center randomized controlled pilot study of extremely preterm infants receiving PN according to current practice or the suggested photoprotection procedure. RESULTS: In vitro, photoprotection allowed a 44% decrease in peroxide generation (P < 0.001) and reduced by half ascorbic acid degradation in PN admixtures (P < 0.001). In vivo, 28 infants completed the study. Baseline urinary peroxide levels were similar in both groups before PN initiation, and the suggested photoprotection procedure resulted in a significant decrease in urinary peroxide levels over the first week of life (P < 0.05). CONCLUSION: The suggested procedure appears feasible and effective in reducing peroxide contamination and optimizing PN integrity, representing a step toward integrating complete photoprotection of PN as the standard of care in preterm infants.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".