Perioperative Considerations in a Patient with Kleine–Levin Syndrome Undergoing a Neurosurgical Procedure under General Anesthesia
Bibliographic record
Abstract
Kleine-Levin syndrome (KLS) is a rare central disorder of daytime hypersomnolence and is often characterized by a relapsing and remitting course, recurrent episodes of excessive sleep lasting from 12 to 20 hours a day, and symptoms including hyperphagia, hallucinations, derealization, disorientation, and hypersexuality. There are numerous perioperative considerations in dealing with KLS that include challenges during induction of anesthesia, delayed emergence, postoperative sleep disorders, and delirium. However, due to its rare occurrence, the anesthetic considerations of KLS remain poorly described. This case report outlines the anesthetic considerations and management of a young female patient with KLS who underwent transnasal excision of a trigeminal schwannoma under general anesthesia.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 teacher head, 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".