Fulminant presentation of autoimmune hepatitis
Bibliographic record
Abstract
BACKGROUND AND AIMS: Classical features of autoimmune hepatitis (AIH) may be altered during the abrupt onset of the disease. Corticosteroid therapy can be life-saving, but its use in the fulminant presentation of AIH (F-AIH) remains controversial. We aimed to assess the clinical features of patients with F-AIH and to describe the role of corticosteroids in this population. PATIENTS AND METHODS: We retrospectively analyzed 154 adult patients with fulminant hepatic failure who were admitted to six liver transplantation (LT) programs. The AIH simplified criteria were used to identify patients with F-AIH. RESULTS: We identified 40 (26%) patients with F-AIH. Compared with other etiologies, patients with F-AIH presented a longer interval from jaundice to encephalopathy (26 vs. 16 days, P=0.02) and a lower Model for End-Stage Liver Disease (MELD) score on admission (29 vs. 33, P=0.002). Overall, 25 (62%) patients with F-AIH underwent LT, eight (20%) patients survived, and seven (18%) died without LT. Seventeen patients received corticosteroids therapy, of whom seven (41%) survived without LT. Among the treated patients, higher MELD score and encephalopathy grade of 3 or more were associated significantly with corticosteroid failure. CONCLUSION: Patients with F-AIH have a more indolent presentation compared with the non-F-AIH population. Altogether, only eight (20%) patients presenting with F-AIH survived without LT. A subset of patients with F-AIH and an initial MELD score less than 27 and low-grade hepatic encephalopathy might benefit from administration of corticosteroids.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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 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".