Abstract TP425: Clinical and Radiological Spectrum of Nontraumatic Cortical Subarachnoid Hemorrhages : A Consecutive Series of 62 Patients
Bibliographic record
Abstract
Non-traumatic cortical subarachnoid hemorrhage (cSAH) is an unusual location of SAH not related to aneurysmal rupture. Several causes have been described in small cohorts. We report the characteristics and the follow-up of a large cohort of such patients. Methods: During 4 years, consecutive patients admitted in our institution with a cSAH revealed by neurological symptoms were included in a registry. Retrospective review of medical records, neuroimaging studies, and follow-up data was performed. Results: Sixty two patients (37 women; mean age ± SD : 66 ± 14 years) were included. The main clinical presentation was a transient deficit in 50 % of cases. Headache was present in only 39 % of cases. Cerebral amyloid angiopathy (CAA) accounted for 50 % of cases. The main other etiologies were reversible vasoconstriction syndrome (13 %), endocarditis (11 %), severe intracranial or cervical arterial stenoses (8 %) and cerebral venous thrombosis (5 %). Patients with CAA were older (p < 0.001) and suffered essentially from transient deficit (80 vs 18 %; p < 0.001) without headache (18 % vs 58 %; p = 0.002). Cortical hemosiderosis on MRI was strongly associated with CAA (77 % vs 0 %; p < 0.001). Follow up data were available in 55 patients (28 with CAA). Forty eight patients underwent an imaging follow up (25 with CAA). Recurrent hemorrhages (cSAH or hematoma) occurred in 52 % of CAA cases against 12 % in other origins (p = 0.01). Conclusions: Our data show that CCA is clearly the main etiology of cSAH with a specific pattern associating transient neurological deficit without headache and cortical hemosiderosis on MRI. Many origins can be found in younger patients to whom the diagnosis is guided by imaging findings and clinical background. The risk of recurrence is high in CAA contrary to other etiologies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".