P.126 Isolated intraventricular hemorrhage presenting as reversible cerebral vasoconstriction syndrome
Bibliographic record
Abstract
Background: Reversible cerebral vasoconstriction syndrome (RCVS) is defined clinically by headaches associated sometimes with seizures and neurological deficits, and radiologically with intermittent spasms in cerebral arteries that would resolve in 3 months. It can present with multiple bleeding patterns. Intraventricular hemorrhage (IVH) is a rare presentation for RCVS as there are 4 reported cases. Methods: This is a case report and review of literature. Results: A 36-year-old patient sought medical attention due to the acute onset of thunderclap headache. A computed tomography (CT), and CT angiogram (CTA) of his head and neck were done. It showed large IVH associated with hydrocephalus and no underlying vascular abnormalities. An external ventricular drain was placed and he was on nimodipine. A CTA was done on day 17 because he had acute global aphasia, right hemibody weakness, and right homonomous hemianopia, which showed severe diffuse intracranial stenosis involving the circle of Willis. He was taken to the angiography suite for chemical spasmolysis with verapamil. There was radiographic improvement and clinical resolution. Conclusions: This case highlights the rarity of RCVS presentations and further signifies the utility of intraarterial spasmolytics as an adjunct in the diagnosis of difficult cases. Further retrospective and prospective data are needed.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
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".