A Case Report of Overlapping Miller Fisher Syndrome, Guillain-Barré Syndrome, and the Bickerstaff Brainstem Encephalitis
Bibliographic record
Abstract
INTRODUCTION: Patients with overlapping Miller Fisher syndrome (MFS), Guillain-Barré syndrome (GBS), and the Bickerstaff brainstem encephalitis (BBE) have rarely been reported, and the diverse clinical features and sequelae are challenging for physicians. Through this case report, we present the clinical course, treatment, recovery, and sequelae of an overlapping MFS, GBS, and BBE syndrome and provide a review of the literature. CASE REPORT: A 76-year-old woman was initially presented with diplopia, ophthalmoplegia, and ataxia, but she later developed weakness of limbs, respiratory failure, deterioration of consciousness, and cognitive impairment. After IV immunoglobulin and corticosteroid therapy, she began to recover consciousness and from the weakness from day 18. After 8 months of rehabilitative therapy, she was able to swallow food without difficulty, but she still cannot walk without assistance, showed cognitive impairment, and the tracheostomy remained in place because of persistent respiratory muscle weakness. CONCLUSIONS: As the clinical course of MFS-GBS-BBE overlapping syndrome is variable, involving not only the peripheral but also the central nervous system, the establishment of a comprehensive therapeutic strategy is warranted.
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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) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".