Vasculitis and Steroid Psychosis: A Case Report and Review of Literature
Bibliographic record
Abstract
Corticosteroids have become the cornerstone of therapy for many pathologies such as vasculitis. Steroid psychosis is a known complication of corticosteroids therapy, although infrequent. We describe a case of psychosis secondary to corticosteroids in a 69-year-old man with large-vessel vasculitis without previous history of psychiatric pathology. He was diagnosed with large-vessel vasculitis and the treatment started with prednisone 1 mg/kg/day. One week later, the patient presented with behavior change: emotional lability, disorientation and aggressiveness. The symptoms worsened for hallucinatory activity and cognitive deficit. After exclusion of other causes, the diagnosis of psychosis secondary to corticosteroids was assumed. It was decided to wean corticosteroids and start new therapy with methotrexate and tocilizumab and introduction of antipsychotic therapy. The patient had a good outcome with disease remission and had no further neuropsychiatric symptomatology. Systemic corticosteroids are widely used, sometimes with a low concern of its potential adverse effects. So it is important that physicians are aware of the potential for their adverse effects and the need to monitor disease activity and drug toxicity.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".