Successful Management of Fulminant Guillain-Barré Syndrome and Its Complications
Bibliographic record
Abstract
A 3-year-old girl presented with muscle weakness of her limbs and trunk 6 days after developing symptoms of common cold. Two days later, she experienced respiratory arrest with a Glasgow Coma Scale score of 3, necessitating endotracheal intubation. Therefore, she was transferred to our hospital with suspected acute encephalopathy. Although no abnormalities were observed on brain and spinal magnetic resonance imaging and electroencephalography, peripheral nerve conduction velocity tests failed to evoke motor and sensory nerve action potentials. Thus, we gave a diagnosis of fulminant Guillain-Barré syndrome and initiated immunoglobulin therapy. On day 3 of admission, she developed sinus tachycardia that induced circulatory failure and oliguria, which was successfully treated with landiolol. Subsequently, we performed plasmapheresis followed by immunoglobulin and steroid pulse therapies. She was weaned off the mechanical ventilator by day 20 of admission, was ambulatory by day 44, and had completely recovered without any adverse sequelae by day 55. In conclusion, landiolol was effective for treating acute sinus tachycardia-induced circulatory failure and played a key role in saving the life of this patient.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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; 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".