Frailty in Pediatric Liver Disease May Be Associated With an Increased Incidence of Readmissions After Pediatric Liver Transplantation
Bibliographic record
Abstract
BACKGROUND: Frailty is a phenotype of cumulative decline leading to decreased physiologic reserve and vulnerability to stressors. Frailty is associated with adverse outcomes after liver transplantation (LT) in adults, but similar data are not available in children. A prospective multicenter study previously determined that frailty is present in 46% of children with end-stage liver disease (ESLD). We utilized this cohort to evaluate the impact of pre-transplant frailty on post-LT outcomes. METHODS: The study included pediatric participants from the original frailty study across 10 North American transplant centers who had subsequently undergone LT. Clinical outcomes were collected up to 1 year post LT. Participants were stratified by their pre-transplant frailty score (defined by a pre-LT frailty score of ≥ 6.0) and long-term outcomes were compared between groups. RESULTS: 28 (60.7% female, 46.4% biliary atresia) pediatric LT recipients were included, and 54% of children met criteria for frailty (n = 15). Baseline characteristics were comparable between groups; however, those with frailty were significantly more likely to have pre-transplant failure to thrive (33.3% vs. 0%, p = 0.044). Thirty-four hospital readmissions (22 in frail and 12 in non-frail children) occurred in 20 patients. Higher pre-transplant frailty scores were also significantly associated with an increased number of readmissions after transplantation (p = 0.034). CONCLUSIONS: Pediatric frailty may be associated with the adverse outcome of increased frequency of hospitalization in the first year after pediatric liver transplantation. These data support the concept that frail children should be identified and targeted for prehabilitation prior to LT.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".