Long-term follow-up of patients with difficult to treat type 1 autoimmune hepatitis on Tacrolimus therapy
Bibliographic record
Abstract
INTRODUCTION: Autoimmune hepatitis (AIH) is an immune-mediated liver disease, which requires long-term immunosuppression. Ten to fifteen percent of patients experience insufficient/intolerance response to standard therapy. Although alternate immunosuppression has been applied, there is little long-term data reported on safety, efficacy, steroid-dose reduction and disease evolution in patients with difficult AIH who were on Tacrolimus therapy. MATERIALS AND METHODS: Clinical, biochemical, immunological profiles, treatment response and side effects of 17 AIH patients treated with Tacrolimus between 2003 and 2014 were analyzed from two tertiary referral liver centers. RESULTS: Tacrolimus was started on 16/17 (94%) patients due to insufficient response to standard therapy. The median duration of treatment was 24 months and patients were followed up for median of 60 months. Tacrolimus dosage was 2 mg/day (median). During first year of therapy, there was a significant improvement in immunoglobulin G and Aspartate transaminase level. 9/17 (52%) compliant and definite AIH patients remained on Tacrolimus at end of follow-up and prednisolone dose reduction was achieved from 10 to 5 mg. All patients are alive and one patient underwent liver transplantation. 4/17 (24%) patients developed overlap with primary sclerosing cholangitis over follow-up period. No significant side effects were observed with Tacrolimus therapy. CONCLUSION: Tacrolimus could be used in compliant patients with difficult to treat AIH in experienced centers. Its use is safe and can improve liver biochemistry, IgG and reduce steroid requirement. However, due to the lack of immunomodulatory effect, unmet need for effective immune-regulatory therapies still remain for AIH patients.
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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".