Use of Aripiprazole in a Patient With Multiple Sclerosis Presenting With Paranoid Psychosis
Bibliographic record
Abstract
Multiple sclerosis (MS) is an autoimmune neurodegenerative disorder of the central nervous system (CNS). A significant percentage of MS patients will develop neuropsychiatric symptoms during their lifetime; affective symptoms are most common, but psychosis is reported in approximately 1% of patients. Atypical antipsychotics are commonly prescribed for treatment of psychotic symptoms and a recent case report demonstrated the benefit of oral aripiprazole 10 mg in treating paranoid-hallucinatory psychosis in a patient with MS. We report on a 46-year-old African-American female diagnosed with MS who was admitted with delusional and paranoid behavior. She had no history of mental illness and had a negative urine drug screen on admission. Following 3 days of treatment with oral aripiprazole, the patient became more cooperative with hospital staff, took her prescribed medications, and demonstrated a reduction in paranoid behavior and delusional thinking. She was discharged on oral aripiprazole 10 mg twice daily. This case report suggests the benefit of aripiprazole for psychotic symptoms in MS. Further study of aripiprazole's efficacy is needed to confirm these findings.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".