Abstract P375: Cortical Venous Opacification Patterns and Outcome in Patients With Tandem Carotid Occlusion - Results From the ESCAPE NA1-Trial
Bibliographic record
Abstract
Background: The degree of cortical venous opacification could reflect the degree of ischemia in tandem occlusions strokes. We assessed the association between asymmetric cortical vein opacification and outcome among patients with acute ischemic stroke and tandem occlusion. Methods: ESCAPE NA1 was a multicenter randomized-controlled trial comparing medical treatments nerinetide vs. placebo in patients with acute ischemic stroke and large vessel occlusion who underwent EVT. Tandem carotid occlusion was defined as complete occlusion of the ICA on catheter angiography. We assessed cortical venous opacification on baseline CTA using the COVES score (Jansen, et al. Radiology 2019, ranging from 0-6 with lower numbers indicating poor cortical venous filling, and dichotomized to 0 vs. 1-6). The influence of cortical venous opacification on functional outcome was analyzed using regression modelling with adjustment for age, baseline NIHSS and ASPECTS, thrombolysis and treatment allocation. Results: We assessed 115 patients with tandem occlusion. Median COVES score was 2 (IQR 1-3) with 9 patients (8%) scoring 0 (complete absence of cortical venous filling). Patients with COVES 0 were less likely to have good leptomeningeal collaterals (good collaterals: COVES 0: 0/9 (0%) vs. COVES 1-6: 19/102 (18%), p = 0.007). Patients with COVES 0 were less likely to achieve good outcome (mRS 0-2, COVES 0: 3/9 patients (33%) vs. COVES 1-6: 79/106 (74%), p=0.016). Cortical venous filling was significantly associated with good functional outcome on univariable analysis (OR 5.9, 95%CI 1.4 - 25.0), and after adjustment for baseline variables (OR 8.6, 95%CI 1.4 - 51.0). Cervical carotid angioplasty and/or stenting did not modify functional outcome after adjustment for COVES score. Conclusion: Impaired venous drainage is a marker of poor pial collaterals and is associated with poorer outcome in tandem occlusion patients.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".