P.043 Plasmapheresis for treatment of light chain amyloidosis related myopathy
Bibliographic record
Abstract
Background: Light chain (AL) amyloidosis is a plasma cell disorder characterized by abnormal fibrillary light chain deposition causing cardiac, renal, hepatic, gastrointestinal and peripheral nervous system dysfunction. Muscle disease occurs in 1.5% of individuals causing progressive proximal weakness thus far considered untreatable. Methods: We reviewed two cases of AL amyloidosis associated myopathy at our institution who had robust response to plasmapheresis. Both were at stringent clinical response following CyBorME therapy during peak severity of their myopathy. Results: In case 1, a 70-year-old male with recently diagnosed kappa light chain multiple myeloma and cardiac/renal amyloidosis developed severe subacute proximal weakness preventing ambulation. CK was normal and electromyography was consistent with irritable myopathy. Deltoid biopsy showed perimysial and endomysial amyloidosis. A trial of plasmapheresis in a tapering schedule resulted in robust recovery of strength. In case 2, a 67-year-old female with recently diagnosed kappa light chain multiple myeloma with amyloidosis on fat pad aspirate developed severe subacute proximal weakness requiring prolonged hospital admission. CK was normal and electromyography demonstrated non-irritable myopathy. Bicep biopsy showed perivascular amyloidosis. A trial of plasmapheresis in a tapering schedule resulted in robust recovery of strength. Conclusions: Plasmapheresis is a novel and potentially effective treatment for patients with AL amyloidosis associated myopathy.
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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 | 0.000 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".