Overt Immune Dysfunction after Cushing's Syndrome Remission: A Consecutive Case Series and Review of the Literature
Bibliographic record
Abstract
CONTEXT: Autoimmune diseases frequently improve during active Cushing's syndrome. Several studies have reported new onset or exacerbation of these conditions upon cortisol normalization. OBJECTIVE: Our objective was to investigate the incidence and clinical characteristics of patients with autoimmune or allergic diseases after Cushing's syndrome remission. METHODS: Consecutive cases of confirmed Cushing's syndrome were characterized. A review of the literature was conducted to identify previous descriptions of immune dysfunction upon remission and evidence of the hypothalamic-pituitary-adrenal axis influence on the immune system. RESULTS: Among 66 patients who achieved Cushing's syndrome remission, the incidence of immune dysfunction was 16.7%, where eight cases (72.7%) were noted for the first time and three (27.3%) were exacerbated. All had an ACTH-dependent cause. Glucocorticoids reduce proinflammatory cytokines and interact with other transcription factors affecting T cell and mast cell survival. CONCLUSION: Hypercortisolism induces a state of immunosuppression. After Cushing's syndrome remission, rebound immunity frequently results in overt conditions extending beyond thyroid dysfunction.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".