Anesthesiologist’s Concerns About Dandy-Walker Syndrome: Airway Management, Muscle Relaxants, and Train-of-Four Monitoring of Neuromuscular Blockade
Bibliographic record
Abstract
Dandy-Walker syndrome is a rare congenital malformation of the posterior fossa that presents unique anesthetic challenges, including difficult airway management, altered consciousness, hydrocephalus, and potential for prolonged postoperative ventilation. Hydrocephalus, the most common finding, can complicate ventilation and intubation, whereas brainstem involvement, along with agenesis of the corpus callosum, pontine hypoplasia, and distortion of the medullary respiratory centers, may contribute to prolonged postoperative ventilation. Anesthetic management in such cases requires thorough airway assessment, preparation for potential airway difficulties, intracranial pressure monitoring and control, and total intravenous anesthesia (TIVA) to facilitate rapid emergence. We describe the case of a 3-year-old male with macrocephaly, movement disorders, delayed cognitive development, and altered mental status, scheduled for ventriculoperitoneal shunt placement under TIVA without muscle relaxants, with careful airway preparation and intracranial pressure control. To our knowledge, this is the first reported case of Dandy-Walker syndrome managed in this manner.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".