IgG4-associated autoimmune hepatitis and cholangitis: A relatively novel entity to consider in cases of seronegative autoimmune hepatitis
Bibliographic record
Abstract
A 49-year-old woman with no inflammatory bowel disease history presented to our clinic with abnormal liver function tests and right upper quadrant abdominal pain. Blood tests revealed a mixed pattern of liver injury. Abdominal magnetic resonance imaging demonstrated hepatomegaly with periportal edema and hyper-enhancing bile ducts without any sign of biliary obstruction or stricturing. Screening for viral hepatitis and autoimmune liver diseases was negative. An elevated immunoglobulin G (IgG) level suggested the possibility of autoimmune hepatitis (AIH), and a biopsy confirmed the presence of severe interface hepatitis with necrotic areas and focal lymphoid nodular formation. IgG4 staining revealed marked IgG4-positive plasma cell infiltration. A diagnosis of IgG4-associated seronegative AIH was made, and the patient was started on prednisone and azathioprine, with rapid resolution of the enzyme abnormalities. This clinical vignette highlights the potential challenges in establishing a diagnosis of IgG4-associated AIH and cholangitis, as demonstrated by the importance of confirmatory histopathology. Clinicians should maintain a high index of suspicion when confronted with a mixed pattern of liver injury with elevated immunoglobulins but seronegative autoimmune markers.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".