Long‐term Exposure of Children to a Mixed Lipid Emulsion Is Less Hepatotoxic Than Soybean‐based Lipid Emulsion
Bibliographic record
Abstract
Lipid emulsions have been associated with liver injury. Newer mixed emulsions (ML), such as SMOFlipid (Fresenius Kabi, Germany), are thought to be more hepatoprotective than soybean-based emulsions (SL), such as Intralipid (Baxter). Pediatric studies comparing long-term use between the 2 are limited. This study compares the severity of hepatic injury between a prospective cohort of hospitalized children on ML (n = 20) and a historical age- and diagnosis-matched cohort of hospitalized children on SL (n = 20). Median exposure to ML and SL were 10 versus 6 weeks (P = 0.030), respectively, at similar median lipid doses (2.2 vs 2.1 g · kg · day). Using a generalized estimating equations approach, conjugated bilirubin trajectory was found to be lower in patients on ML compared with SL (P < 0.001), suggesting that prolonged exposure (≥4 weeks) to ML is associated with decreased liver injury compared with SL in hospitalized children.
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 | 0.000 | 0.001 |
| 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) | 0.002 | 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".