O-084 Ursodeoxycholic Acid For Parenteral Nutrition Associated Liver Disease In Neonates: A Randomised Controlled Pilot Study
Bibliographic record
Abstract
Background In neonates, parenteral nutrition associated liver disease (PNALD) is a well-documented complication. Few retrospective studies suggested that ursodeoxycholic acid (UDCA) may shorten cholestasis duration. Objectives To evaluate the effect of UDCA treatment on the duration and severity of PNALD. Design/methods A double blinded randomised controlled pilot study in a level III NICU. PNALD was defined as at least 2 values of conjugated bilirubin ≥ 34 μmol/L. UDCA or placebo was started after randomization within 72 h of the diagnosis. Exclusion criteria included biliary tract anomalies, TORCH infection, short bowel syndrome, congenital hypothyroid, urinary tract infection, and congenital metabolic or genetic disorders. Baseline characteristics, clinical and biochemical evolution information were collected. Student’s T test, Chi-squared or Fisher’s exact test were used as appropriate. p < 0.05 was considered significant. Results After consent, 26 infants were recruited (14 placebo and 12 UDCA). Table1 shows baseline characteristics. In the intention to treat analysis, there was no difference in the duration of cholestasis between groups. In the per protocol analysis (after excluding 2 deaths and one transfer in the placebo group, 4 deaths and one exclusion criteria violation in the UDCA group) the duration of cholestasis was significally shorter in the UDCA group. Figures1, 2 show the effect of UDCA on the duration of cholestasis and the maximum values of hepatic markers. No adverse reactions were associated with UDCA treatment. Conclusion In neonates, treatment with UDCA decreases the duration of cholestasis. The UDCA group showed lower maximum hepatic transaminases levels indicating possible hepatic protective effect.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".