Acute combined central and peripheral demyelination: a case report
Bibliographic record
Abstract
Aim/Background: We report a case of Acute Combined Central and Peripheral Demyelination (ACCPD). This rare disease presents with features of both peripheral and central demyelination. Methods: Case Report Results: A 24 year-old Iraqi female presented with acute onset of ascending paralysis, numbness and areflexia over the course of a few days. Systemic examination was negative. She responded to IVIG. She suffered two severe relapses over the next three months, which resolved rapidly with PLEX/corticosteroid. CSF was normal after first and second relapses. Brain and cord MRI revealed multiple T2/FLAIR hyperintensities consistent with multiple sclerosis. There were no longitudinally extensive cord lesions. Aquaporin 4 antibody assay is pending. ANA was strongly positive; anti-DSDNA and SS antibodies were negative; complement4 was low and serum cyroglobulins were positive. Hepatitis C was negative. Ganglioside antibody assay was negative. Anti-neurofascin is pending. Neurophysiology confirmed features of an acquired demyelinating neuropathy with profound secondary axonal denervation. Conclusions: The underlying etiology of ACCPD is presumed autoimmune likely secondary to auto-antibody targeting of central and peripheral myelin epitopes. Low complement component 4 and cryoglobulinemia in this patient supports an autoimmune pathogenesis. Neurofascin has been previously reported as one such auto-antibody in ACCPD.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.006 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".