P.060 Immunoglobulin Use For Neuromuscular Conditions: Updating British Columbia Provincial Guidelines Through Focused Literature Review
Bibliographic record
Abstract
Background: Immune-mediated neuromuscular conditions often cause significant disability and may require ongoing immunomodulating therapies such as immunoglobulin (Ig). Ig use in several neuromuscular conditions such as Chronic Inflammatory Demyelinating Polyneuropathy (CIDP) is supported by robust evidence, however Ig is increasingly used for other disorders. In British Columbia (BC), Ig use has increased annually; last year, expenditure exceeded 51 million dollars, 35% relating to neurological disease. Within the context of the pandemic, Ig supply is at risk of shortages. Methods: A focused literature review was conducted of CIDP, Guillain-Barré Syndrome (GBS), Multifocal Motor Neuropathy (MMN), Myasthenia Gravis (MG), and other neuromuscular conditions to compare BC Ig guidelines with international best practices. Provincial recommendations for Ig use were updated accordingly. Results: Evidence-based practices include acute and chronic Ig use in CIDP and MMN, and acute or relapse-related treatment in GBS and MG. Ig may be beneficial in other treatment-refractory inflammatory disorders such as Lambert-Eaton Myasthenic Syndrome and vasculitic neuropathy. Objective outcome measures can optimize patient care and ensure appropriate resource utilization. Conclusions: Updated BC guidelines emphasize using established diagnostic criteria, objective outcome measures and minimum effective Ig doses for neuromuscular conditions. Periodic literature reviews on Ig use allow guidelines to remain evidence-based.
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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 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| 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; both teacher heads agree on what is shown here.
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".