Plasma cell hepatitis (de-novo autoimmune hepatitis) developing post liver transplantation
Bibliographic record
Abstract
PURPOSE OF REVIEW: Cases of de-novo autoimmune hepatitis/plasma cell hepatitis (PCH) are increasingly being diagnosed by liver transplant centers. Its pathogenesis is poorly understood but this entity appears to be a variant of rejection. Herein, we review recent clinical reports of patients developing PCH. RECENT FINDINGS: Histologically, PCH is a challenging diagnosis, especially in the setting of recurrent hepatitis C and, in some cases, can be mistaken for acute cellular rejection. Recent case reports and case-control studies have shown that interferon appears to trigger PCH in hepatitis C posttransplant patients. Optimization of the immunosuppression regimen was found to prevent the development of PCH. In the nonhepatitis C posttransplant patient, tacrolimus-based immunosuppression appears to have some protective effect from PCH development. A combination therapy of cyclosporine and everolimus has also been shown to be effective in treating PCH. SUMMARY: PCH is a variant of rejection and is a cause of late graft loss post liver transplantation, especially in patients with hepatitis C. It should be part of the differential diagnosis of abnormal liver enzyme tests occurring in the post-liver transplant setting.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".