Abstract WMP93: Cortical Superficial Siderosis in Cerebral Amyloid Angiopathy: Higher Prevalence Among Convexity Subarachnoid Hemorrhage Than Among Intracerebral Hemorrhage
Bibliographic record
Abstract
Introduction: Cerebral amyloid angiopathy (CAA) is a major cause of both lobar intracerebral hemorrhage (ICH) and cerebral microbleeds (CMB), especially in the elderly. Recently, acute convexity subarachnoid hemorrhage (cSAH) and cortical superficial siderosis (cSS) has been identified as markers of CAA. Although the clinical feature and the increased risk of future lobar ICH of cSS is well established, little is known about the specific pattern of CAA-related cSAH. Hypothesis: We hypothesized that clinical and imaging characteristics of CAA-related cSAH differ from CAA-related lobar ICH. Methods: We retrospectively analyzed clinical and MRI data of a monocentric cohort of 45 consecutive patients with an acute cSAH related to probable CAA and a comparison group of 70 consecutive patients presenting with an acute lobar ICH meeting Boston criteria for probable CAA. Results: cSAH patients were younger than ICH patients (mean age +/-SD: 75 +/-7 vs 78 +/-7; p=0.046). Transient focal neurological episodes (TFNE) were common among cSAH patients (84.4% vs 0%; p<0.001). Persistent focal neurological deficits were frequent among ICH patients (15.6% vs 98.6%; p<0.001). Prevalence of cSS was significantly higher among cSAH patients than among ICH patients (88.9% vs 60%; p<0.001) especially disseminated (66.7% vs 37.1%; p=0.002) and bilateral cSS (48.9% vs 28.6%; p=0.027). Number of lobar macrobleeds (median number [IQR]: 0 [0-1] vs 1[1-2]; p=0.07) and lobar CMB (median number [IQR]: 3 [1-6] vs 6 [2-14.75]; p=0.405) did not differ between the two groups. Conclusions: In CAA, patients presenting with cSAH are characterized by a younger age, TFNE as presenting symptoms and a higher prevalence of cSS than those presenting with Lobar ICH. These findings suggest that restricted hemorrhage into the subarachnoid space may play a crucial role in cSS physiopathology.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".