Long-term management and prognosis of autoimmune hepatitis (AIH): A single center experience
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Controlled trials have firmly established the need for immunosuppressive therapy in autoimmune hepatitis. However, reports about long-term management and prognosis of the disease are scarce. PATIENTS AND METHODS: We reviewed the charts of 103 consecutive patients with a well-documented long-term course of autoimmune hepatitis who had been carefully managed over a mean observation period of 95 months (12-405 months). RESULTS: Under immunosuppressive therapy 94 patients (91.2%) reached complete remission after a mean treatment duration of 3 +/- 3 months. 28 of the 103 patients (27.2%) were eligible for a trial of treatment withdrawal after a mean treatment duration of 32.2 months (range: 12-81 months). 21 of these patients (75%) had a relapse following treatment withdrawal. 13.6% of patients had intolerance of or severe side effects to azathioprine. There was no increase in tumor risk during a cumulative observation period of 423 patient-years of azathioprine therapy. Corticosteroid side effects occurred mostly during induction therapy, but were usually minor and resolved upon dose reduction. During a cumulative observation period of 842 patient-years no liver related deaths occurred and no patient had to be referred to liver transplantation, even though 30 patients (29.1%) had histological evidence of cirrhosis at presentation. The overall 5- and 10-year survival of patients with autoimmune hepatitis was identical to an age- and sex-matched control population. CONCLUSION: Our study shows that the majority of patients with AIH do achieve a complete remission within 3 months, but require long-term or permanent immunosuppressive therapy that is usually well tolerated. Long-term survival in well-managed patients is excellent.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it