Prevalence, Evolution, and Risk Factors for Advanced Liver Fibrosis in Adults Undergoing Intestinal Transplantation
Bibliographic record
Abstract
INTRODUCTION: Intestinal failure-associated liver disease (IFALD) occurs commonly in intestinal transplant (ITx) candidates receiving parenteral nutrition (PN). The aim of this study is to establish the prevalence and risk factors for advanced liver fibrosis in adults at the time of ITx. METHODS: Retrospective chart review of all ITx was performed in adults between January 2000 and May 2014. Advanced liver fibrosis was defined as stage 3 or stage 4 fibrosis. RESULTS: and the median duration of PN was 402 (interquartile range: 529) days. Advanced liver fibrosis at the time of ITx was found in 13 patients (24.5%). The multivariate analysis revealed that female gender and white race were significant predictors of advanced liver fibrosis. A total bilirubin >3.0 mg/dL for > a month prior to ITx was associated with an odds ratio of 8.9 for advanced fibrosis at the time of ITx but did not reach statistical significance (P = 0.055). CONCLUSION: Close to one-quarter of the ITx recipients had advanced liver fibrosis. In the current era of improved PN management, our data suggests that previously reported risk factors for IFALD, such as extreme short gut syndrome and PN duration, may have a lesser impact on development of liver fibrosis. A prolonged duration of bilirubin elevation may be associated with advanced liver fibrosis in patients with IFALD, but this requires validation in a larger cohort.
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 | 0.001 | 0.001 |
| 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".