Abstract WP4: Efficacy of EVT in Patients Presenting Very Late (>16 Hours) From Last Known Well
Bibliographic record
Abstract
Background: Recent endovascular treatment (EVT) trials suggest the presence of target mismatch profiles up until 24 hours after stroke symptom onset. We aim to a) demonstrate the presence of target mismatch in patients presenting beyond these recent time thresholds and b) potential benefit with EVT in these patients. Methods: Between 01/2012 and 12/2018, patients with AIS with ICA or MCA occlusion and baseline NIHSS score ≥6 arriving ≥16 hours from last known well were identified. CT or MR perfusion images at presentation were evaluated using RAPID software; ischemic core was defined as rCBF <30% (CTP) or ADC <620 (MRI). Clinical information and outcome events were collected prospectively. Results: Of 154 patients [55% male, mean age 70 ± 13 years, median baseline NIHSS 13 [IQR 8 - 18], 76 (49%) had unwitnessed onset. Median last known well to arrival in hospital time was 42.2 [22.8 - 76.9]. CTP or MR perfusion were obtained in 115 (75%). Median ischemic core volume i.e., 11.0 ml [iqr 0 - 40 ml], and penumbra volume (Tmax >6 s) i.e., 57 ml [16 - 133 ml] and a median mismatch ratio 4.0 [iqr 0.9 - 18.0] were noted. When inclusion criteria of the following trials, namely, ESCAPE, DAWN and DEFUSE3 trial were applied, DAWN-eligible patients were n=45 (29%), DEFUSE3 n= 61 (40%) and ESCAPE n=59 (43%). Figure 1a shows trial eligibility by time from last known well. 24 (16%) patients had EVT. EVT was associated with better functional recovery at 3 months (Figure 1b) for 90-day mRS 0-2 (adjusted OR [95% CI], 8.11 [2.49 - 30.44]) and 90-day mRS shift (common adjusted OR 5.50 [2.33 - 13.29]). Treatment effect with EVT was seen from 16 to 240 hours since last known well (Figure 1c). Parenchymal Hemorrhage type 2 was seen in 13 % offered EVT vs. 3% (adjusted OR 4.11 [0.73 - 21.72]). Conclusions: Patients with anterior circulation LVO presenting very late, even days from last known well, may potentially benefit from 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".