Cerebral vasospasm as a consequence of pituitary apoplexy: illustrative case
Bibliographic record
Abstract
BACKGROUND: Cerebral vasospasm is a rare but devastating complication following pituitary apoplexy. Cerebral vasospasm is often associated with subarachnoid hemorrhage (SAH), and early detection is crucial for proper management. OBSERVATIONS: The authors present a case of cerebral vasospasm after endoscopic endonasal transsphenoid surgery (EETS) in a patient with pituitary apoplexy secondary to pituitary adenoma. They also present a literature review of all similar cases published to date. The patient is a 62-year-old male who presented with headache, nausea, vomiting, weakness, and fatigue. He was diagnosed with pituitary adenoma with hemorrhage, for which he underwent EETS. Pre- and postoperative scans showed SAH. On postoperative day 11, he presented with confusion, aphasia, arm weakness, and unsteady gait. Magnetic resonance imaging and computed tomography scans were consistent with cerebral vasospasm. The patient underwent endovascular treatment of acute intracranial vasospasm and was responsive to intra-arterial milrinone and verapamil infusion of the bilateral internal carotid arteries. There were no further complications. LESSONS: Cerebral vasospasm is a severe complication that can occur after pituitary apoplexy. It is essential to assess the risk factors linked to the cerebral vasospasm. In addition, a high index of suspicion will allow neurosurgeons to diagnose cerebral vasospasm after EETS early and take the necessary measures to manage it accordingly.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.006 | 0.006 |
| 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".