Ascorbylperoxide Contaminating Parenteral Nutrition Is Associated With Bronchopulmonary Dysplasia or Death in Extremely Preterm Infants
Bibliographic record
Abstract
Background: Ascorbylperoxide (AscOOH) is a hydrogen peroxide–dependent by‐product of ascorbic acid that contaminates parenteral nutrition. In a guinea pig model, it caused oxidized redox potential, increased apoptosis, and decreased alveolarization. AscOOH detoxification is carried out by glutathione peroxidase (GPX). We hypothesize that extremely preterm infants have limited capacity for AscOOH detoxification. Our objective was to determine if there is an association between an early level of urinary AscOOH and later development of bronchopulmonary dysplasia (BPD) or death. Materials and Methods: This prospective cohort study included 51 infants at <29 weeks of gestation. Baseline clinical characteristics and clinical outcomes data were collected. Urine samples were collected on days 3, 5, and 7 of life for urinary AscOOH. Blood samples on day 7 were collected for total plasma glutathione, GPX, and glutathione reductase. χ2, Student's t test, Spearman correlation (r), linear regression (adjusted r2), and repeated‐measure analysis of variance were used as appropriate. P < .05 was considered significant. Results: Urinary AscOOH increased over time (P = .001) and was higher in infants who later developed BPD or died (P = .037). Compared with adults and full‐term infants, total plasma glutathione concentration was low (median, 1.02 µmol/L; 25th–75th percentiles, 0.49–1.76 µmol/L), whereas GPX and glutathione reductase activities were sufficient (3.98 ± 1.25 and 0.36 ± 0.01 nmol/min/mg of protein, respectively). Conclusion: Extremely preterm infants have low glutathione levels, which limit their capacity to detoxify AscOOH. Higher first‐week urinary AscOOH levels are associated with an increased incidence of BPD or death.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".