Case Report: IgG4-Related Disease Presenting With Isolated Hypophysitis
Bibliographic record
Abstract
Background/Objective: IgG4-related disease (IgG4-RD) is an immune-mediated condition that affects multiple organs, including the pituitary gland. Here we present a patient with isolated pituitary involvement of IgG4-RD mimicking pituitary apoplexy. Case Report: A 49-year-old woman presented to the emergency department with abdominal pain, nausea, vomiting, and weight loss. Her blood pressure was low, and she appeared euvolemic with the rest of physical examination being noncontributory. Her electrolytes showed low serum sodium of 118 mmol/L (normal 135-145). Further investigations were significant for low morning cortisol of 20 nmol/L (N:100-500) and low adrenocorticotropic hormone. Magnetic resonant imaging of the pituitary fossa showed a pituitary macroadenoma with hemorrhagic transformation. She was started on glucocorticoids and levothyroxine before undergoing surgical removal of the pituitary tumor. The pathology was positive for IgG-4-related hypophysitis (IgG4-RH) with no evidence of pituitary tumor. Discussion: IgG4-RD is an immune-mediated condition that can affect many organs including the pituitary gland, in the form of hypophysitis. IgG4-RH can affect anterior, posterior, or both pituitary lobes. In 2011, Leporati et al developed a diagnostic criteria for IgG4-RH which includes the following: imaging, serology, histopathology, and response t glucocorticoids. The mainstay of treatment is glucocorticoids and hormone replacement therapy. Conclusion: IgG4-RH might be underestimated and should be suspected in those with hypophysitis or unknown cause of hypopituitarism. Moreover, pituitary macroadenoma with hemorrhagic transformation and panhypopituitarism should be considered as rare and unusual presentations of IgG4-RD.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".