Abstract P535: Quality of Reperfusion and Clinical Outcome in ESCAPE-NA1 Trial
Bibliographic record
Abstract
Background: We evaluated clinical outcome in relation to the degree of reperfusion in ESCAPE-NA1 trial. Methods: ESCAPE-NA1 was a multicenter, international randomized trial assessing the efficacy of nerinetide in ischemic stroke patients who underwent EVT within 12h from onset. Independent clinical outcome [90-days modified Rankin Scale (mRS) 0-2], excellent clinical outcome (90-days mRS 0-1), isolated subarachnoid hemorrhage with no parenchymal hemorrhage (iSAH) or symptomatic hemorrhage (sICH) on follow-up imaging, and death were compared between a treatment group and control group with respect to the level of reperfusion defined as mTICI. Univariable and multivariable logistic regression analyses were performed. Results: Data from 1090 patients were assessed. The occlusion locations were terminal ICA (18.3%), M1 MCA (61.8%,) M2 MCA (15.1%), other - e.g. M3 (3.7%). Final mTICI 0-1 was achieved in 5.5% of patients, mTICI 2a in 7.5%, mTICI 2b in 40.8%, mTICI 2c in 26.6% and mTICI 3 in 19.5%. Isolated SAH was present in 1.7% and sICH in 3%. There was no significant difference between the nerinetide and control groups in the reperfusion grade, presence of iSAH or sICH, or in clinical outcome. Odds of independent outcomes (mRS 0-2) and odds of excellent outcome (mRS 0-1) were significantly increasing with each improved reperfusion grade, Table 1. Sixty percent of patients with final mTICI 2b, 70% with mTICI 2c and 69% with mTICI 3 achieved good clinical outcome in comparison to 30% of patients with mTICI 0-2a. The incidence of iSAH was significantly lower in the NA1 arm (OR 0.28, 95%CI: 0.09-0.86, p=.027) adjusting for reperfusion status. Conclusion: Degrees of better reperfusion are strongly associated with better outcomes and reduced mortality. mTICI 2c-3 reperfusion should be a standard goal of EVT.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".