Risk of Mood Changes with High Dose Corticosteroid Treatment for Demyelinating Event in Multiple Sclerosis (P6.178)
Bibliographic record
Abstract
OBJECTIVE: To identify risk factors for mood changes during high dose corticosteroid (HDC) treatment for demyelinating events associated with Multiple Sclerosis (MS). BACKGROUND: Mood disorders are known to be associated with corticosteroids, however it is unknown if there are identifiable risk factors for their occurrence in MS patients treated with HDC for a demyelinating event. DESIGN/METHODS: Consecutive subjects treated with HDC (蠅 1g) in hospital or in clinic for a demyelinating event were recruited. A history of bipolar disorder (BPD) led to exclusion. Subjects answered a standardized questionnaire about his/her demographic, medical and psychiatric history, and family psychiatric history. Primary outcomes were the Mood Disorders Questionnaire (MDQ) and Beck Depression Index -Fast Screen (BDI-FS) administered at the time of the demyelinating event, 3 days after HDC and 1 month later. One-way ANOVA was used to determine the relationship between personal and family characteristics and MDQ and BDI-FS scores. RESULTS: 68 subjects agreed to participate; 9 were lost to follow up after 1st assessment and 2 more after HDC. Mean age was 38.7 ± 1.9 years and 68.4% were female. Past history of depression was associated with depressive symptoms at the time (p=0.012) of the demyelinating event and during HDC (p=0.006) but not 1 month later (p=0.072). Family history of depression was associated with the depressive symptoms during HDC (p=0.030) but not at onset (p=0.208). A family history of any psychiatric disease was associated with a positive MDQ (p=0.030), driven mostly by a family history of BPD (p=0.031). This relationship was further confirmed by a positive (p=0.048) association between a family history of BPD and a change from a negative to a positive MDQ while being treated with HDC. CONCLUSIONS: BPD family history is associated with a risk of manic symptoms, while a family history of depression is associated with depressive symptoms during HDC treatment. Study Supported by: Academic Development Fund, Western University
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".