Abstract WP106: Timing of Tissue-plasminogen-activator Induced Recanalization and Functional Recovery in Acute Ischemic Stroke
Bibliographic record
Abstract
Introduction: Although onset-to-treatment time is associated with early clinical recovery in acute ischemic stroke (AIS) patients treated with intravenous tissue plasminogen activator (tPA), the effect of the timing of tPA-induced recanalization on functional outcomes in AIS remains debatable. Methods: We sought to determine whether early (within 1-hour from tPA-bolus) complete or partial recanalization assessed during 2-hour real-time transcranial Doppler (TCD) monitoring is independently associated with improved 3-month outcomes in tPA-eligible patients with proximal intracranial arterial occlusions. Outcome events included dramatic clinical recovery (DCR) within 2 and 24-hours from tPA-bolus, 3-month mortality, favorable functional outcome (FFO) and functional independence (FI) defined as modified Rankin Scale scores of 0-1 and 0-2 respectively. Results: We prospectively enrolled 480 AIS patients (mean age 66±15 years, 60% men, baseline NIHSS score 15) during a 7-year period from 12 participating centers. Complete or partial early recanalization was detected in 53% of patients. Patients with early recanalization had (p<0.001) higher rates of 2-hour DCR (54% vs. 10%), 3-month FFO (67% vs. 28%), FI (81% vs. 39%) and lower mortality rates (6% vs. 17%) compared to patients with persisting occlusions. In multivariable analyses, recanalization during tPA infusion was independently (p<0.05) associated with higher probability of three-month FFO and lower likelihood of three-month mortality. Onset to treatment time correlated to the elapsed time between tPA-bolus and recanalization (Spearman’s rho= +0.151, p=0.009). Conclusions: Earlier tPA treatment after stroke onset is associated with faster tPA-induced recanalization. Earlier onset-to-recanalization time results in improved functional recovery and survival in AIS patients with proximal intracranial occlusions.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".