Natural history and outcomes in drug‐induced autoimmune hepatitis
Bibliographic record
Abstract
AIM: Drug-induced autoimmune hepatitis (DIAIH) remains poorly characterized. Our aim was to assess natural history and outcomes in DIAIH. METHODS: This was a retrospective cohort study. RESULTS: Eighty-two patients with autoimmune hepatitis (AIH) were identified, 11 (13.4%) with DIAIH, implicated drugs being nitrofurantoin (n = 4), statins (n = 4), herbal remedies (n = 2) and diclofenac (n = 1). Female sex, acute onset, elevated serum globulins/immunoglobulin G, fibrosis stage (Ishak), cirrhosis at onset, moderate-severe portal inflammation, interface and lobular hepatitis, remission, relapse and poor outcome were similar in those with DIAIH and AIH (P > 0.05). The former were however more likely to be aged 60 years or more and take longer to relapse on immunosuppression discontinuation (P = <0.05). On Kaplan-Meier analysis, probability of poor outcome was similar in those with DIAIH and AIH (log-rank test, 0.339). On comparing those with (n = 4) and without nitrofurantoin (n = 7) DIAIH, the former were older, had longer duration of drug use prior to DIAIH diagnosis, higher fibrosis stage and were less likely to relapse upon immunosuppression discontinuation. CONCLUSION: Approximately 15% of patients with AIH have DIAIH with similar outcomes, although the latter are older with a propensity for late relapse, mandating long-term follow up.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 |
| 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".