Severe acute cellular rejection after intestinal transplantation is associated with poor patient and graft survival
Bibliographic record
Abstract
BACKGROUND: Severe acute cellular rejection (ACR) occurs frequently after intestinal transplantation (ITx). AIM: To evaluate the outcomes and the risk factors for graft failure and mortality in patients with severe ACR after ITx. METHODS: Retrospective study evaluating all ITx recipients who developed severe ACR between 01/2000 and 07/2014. Demographic and histologic data were reviewed. RESULTS: 20/126 (15.9%) ITx recipients developed severe ACR. Of these 20 episodes, 13 were in adults (median age: 47.1). The median (IQR) time from ITx to severe ACR was 206.5 (849) days. All patients received intravenous methylprednisolone and increased doses of tacrolimus. Sixteen (80%) patients did not respond to initial treatment and required thymoglobulin administration. Moreover, 11 (55%) patients required additional immunosuppressive medications. Six (30%) patients required graft enterectomy. Complications related to ACR treatment were the following: 10 (50%) patients developed bacterial infections, four (20%) patients developed cytomegalovirus infection and four (20%) patients developed post-transplant lymphoproliferative disease. At the end of follow-up, only 3/20 (15%) were alive with a functional allograft. The median patient survival time after diagnosis of severe ACR was 400 days (95% CI: 234.0-2613.0). CONCLUSIONS: Severe ACR episodes are associated with high rates of graft loss and complications related to treatment.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".