Impact of pretransplant antinuclear antibody and antismooth muscle antibody titers on disease recurrence and graft survival following liver transplantation in autoimmune hepatitis patients
Bibliographic record
Abstract
BACKGROUND AND AIMS: Disease recurrence following transplantation occurs in 20-45% of patients with autoimmune hepatitis (AIH). Factors associated with an increased risk of recurrence include human leukocyte antigen (HLA) DR3 and HLA DR4 positivity, inadequate immunosuppression, and severity of inflammation in the native liver. Titers of several autoantibodies can be elevated in patients with AIH, including antinuclear antibody (ANA) and antismooth muscle antibody (SMA); however, it is unclear whether or not the degree of elevation influences the risk of disease recurrence following transplantation. METHODS: We conducted a retrospective study to evaluate the potential impact of pretransplant titers on post-transplant outcomes for patients with AIH. Sixty-three patients with AIH who underwent 72 liver transplants between 1 January 1989 and 1 January 2009 were included, with a median follow up of 10 months. Patients were divided into group A (ANA or SMA ≥ 1:160) and group B (titers ≤ 1:160). RESULTS: There was no significant difference in the recurrence rates or death between patients in groups A and B, respectively. Only race appeared to impact outcomes, with African American patients having a higher incidence of death and recurrent disease post-transplant compared to other ethnicities. CONCLUSIONS: Based on our findings, pretransplant ANA and SMA levels do not appear to impact recurrence rates or outcomes following liver transplantation for AIH.
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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 | 0.000 | 0.000 |
| 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) | 0.000 | 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".