Impact of shielding parenteral nutrition from light on routine monitoring of blood glucose and triglyceride levels in preterm neonates
Bibliographic record
Abstract
BACKGROUND: Premature infants are vulnerable to complications related to oxidative stress. Exposure to light increases oxidation products in solutions of total parenteral nutrition (TPN) such as lipid peroxides and hydrogen peroxide. Oxidative stress impairs glucose uptake and affects lipid metabolism. HYPOTHESIS: products of photo-oxidation contaminating TPN affect lipid metabolism. OBJECTIVE: Evaluate the effect of photoprotection of TPN in preterm infants on plasma glucose and triglyceride (TG) concentrations. DESIGN: Secondary analysis of a prospective study allocating preterm infants to light-exposed (LE, n = 32) or light-protected (LP, n = 27) TPN. SETTING: Level III NICU referral centre for patients of British Columbia. PATIENTS: Preterm infants requiring TPN. INTERVENTIONS AND OUTCOME MEASURES: TG and blood glucose measured during routine monitoring while on full TPN were compared between LE and LP. RESULTS: Clinical characteristics were similar between the two groups (gestational age 28+/-1 wk; birth weight: 1.0+/-0.1 kg). Nutrient intakes from TPN and from minimal enteral nutrition were comparable between LE and LP. Blood glucose was higher in preterm infants receiving LE (p<0.001). The accumulation of TG with increasing lipid intake was twice as high with LE accounting for significantly higher TG levels on days 8 and 9 (p<0.05). CONCLUSIONS: Failure to photoprotect TPN may cause alterations in intermediary metabolism. Shielding TPN from light provides a potential benefit for preterm infants by avoiding hypertriglyceridaemia allowing for increased substrate delivery.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".