Acute disseminated encephalomyelitis following vaccination against SARS-cov-2: a case report (PP-04)
Bibliographic record
Abstract
Introduction: ADEM an inflammatory demyelinating discase of the central nervous system that is usually considered a monopnasic disease. Post-vaccination ADEM has been associated with severa vaccines. however there is scarce information related to SARS-CoV-2 vac-cines. We report the case of a 26-year-old female who suffered from ADEM four weeks after Gam-COVID-Vac administration. Result: A 26-vear-old female was admitted affer 10 davs of temporal spatial disorientation, inappropriate behavior and headache. She reported no upper respiratory infection or diarrhea and she has no significant medical history. Four weeks prior admission she received a first dose of Gam-COVID-vac vaccine (humai adcnovirus viral vector). Neurological examination showed failure cognitive function in attention, deferred memory, orientation visuospatial and language. Montreal Cognitive Assessmen (MoCA) 12/30. Also right upper limb weakness and gait ataxia was noted. Her brain MRI showed widespread abnormal signals on FLAIR images with ring enhancement pattern. Analysis of cerebrospinal fluid was normal and oligo clonal bands were positive. ADEM was suspected and she was treated wit intravenous Methylprednisolone with partial recovery. MoCA at 30 days was 24/30. Conclusion: our patient met the ADEM diagnostic criteria diagnosis were excluded .although a plausible relationship was not demonstrated. The possibility of association with vaccine is suspected
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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) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.008 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".