The role of aluminum in parenteral nutrition associated cholestasis in infants and piglets
Bibliographic record
Abstract
Aluminum is a known contaminant of parenteral nutrition (PN) solutions and it has been suspected to play a role in the development of parenteral nutrition associated cholestasis (PNAC). The primary purpose of my research was to monitor the relationship between serum aluminum level and the development of PNAC in the infants with gastrointestinal failure who required PN therapy. The secondary purpose was to develop a neonatal piglet model to compare different doses of aluminum or PN therapy with known aluminum level was associated with the development of PNAC. Sixteen infants with gastrointestinal pathology were enrolled in the study. Serum aluminum and bilirubin (direct and indirect) concentrations were determined on day 0, 7, 14, and 21 of PN therapy. Five of sixteen (31.3%) infants developed PNAC by day 21. Serum aluminum levels in infants receiving PN peaked at day 7 of therapy and declined thereafter. There was no direct correlation between serum direct bilirubin and serum aluminum levels. Twenty-four piglets, 2 to 4 days old, were placed into four groups: Control group (n=5); Low Al (aluminum) group (n=7), intravenous (iv) injection with aluminum dose at 20 ìg•kg-1•day-1; High Al (aluminum) group (n=6), iv with aluminum dose at 1500 ìg•kg-1•day-1; PN (parenteral nutrition) group (n=6), PN solutions with a mean aluminum intake at 37.8±14.3 ìg•kg-1•day-1. The experiment period was 21 days. Serum bilirubin was significantly (p
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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".