P.014 Intravenous immunoglobulin use for central nervous system disorders in British Columbia: implementation of a provincial screening program
Bibliographic record
Abstract
Background: Intravenous Immunoglobulin (IVIg) use for Central Nervous System (CNS) conditions has increased over the last decade. In many CNS disorders, robust evidence for IVIg efficacy is still lacking. Building on the success of the British Columbia (BC) Neuromuscular IVIg utilization initiative, Guidelines for IVIg use in CNS conditions were developed. A provincial screening program was launched in 2023. Methods: For CNS IVIg, requests, diagnosis, dosing, consultation letters and treatment questionnaires were reviewed. Patient management was compared to provincial guidelines. A letter was sent to the ordering physician with the results of the review and treatment recommendations when management differed significantly from guidelines. Review of the first year’s cases was conducted. Results: Over the first 11 months of the program, 79 IVIg renewal requests were reviewed. The most common diagnoses were antibody mediated autoimmune encephalitis, severe drug resistant non-surgical epilepsy and Susac’s syndrome. Recommendations included dose reduction, discontinuation of IVIg, or initiation of alternative therapies for many of the requests. Conclusions: IVIg may be effective in the management of some CNS inflammatory conditions. A physician-led utilization program in BC with targeted education to ordering physicians promotes best practice. Review of year one data will inform a quality improvement cycle to optimize the guidelines.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".