Abstract WP71: Recanalization Leads To Early Clinical Improvement In Patients Treated With Argatroban And Intravenous TPA A Subanalysis Of The Argatroban Tpa Stroke Study
Bibliographic record
Abstract
Background and Objectives: Early neurological improvement (ENI) at 2-hours post thrombolysis has recently been proposed to most accurately predict recanalization when repeat vascular imaging is not available. However, these studies analyzed recanalization at a delayed time point (≥24 hours). The Argatroban tPA Stroke Study (ARTSS-1), is a recently completed NIH sponsored, Phase IIa, prospective, open-label, safety and activity study of Argatroban and rtPA in patients with ischemic stroke ( NCT00268762 ). We hypothesized 2-hour recanalization correlates with ENI (NIHSS improvement of 20% or greater from baseline). Methods: A total of 65 patients with intracranial large vessel occlusive disease were given standard dose (0.9mg/kg) tPA and a 100 μg/kg bolus of argatroban followed by infusion of 1 μg/kg per minute for 48 hours adjusted to a PTT of 1.75 times baseline. Pre-tPA vessel imaging using TCD or CTA confirmed intracranial occlusions. A multivariate logistic regression tested whether recanalization at 2 hours was associated with ENI after controlling for age, NIHSS, clot location (ICA, MCA or vertebrobasilar). We analyzed whether patients with ENI had statistically significant greater odds of an excellent mRS (0 or 1) at day 7. Results: Recanalization data was available for 47 patients at 2-hours. ENI occurred at 2-hours in 46% patients. Patients with any recanalization (complete or partial) at 2-hours were more likely to experience ENI (OR 3.4; 95% CI 0.71-16.6, p=0.124). This association strengthened when 2-hour complete recanalization was analyzed (OR 5.4; 95% CI 0.98-29.2, p=0.053). In an unadjusted analysis, patients with ENI at 2-hours were five times more likely to have excellent mRS outcomes at day 7 (OR 4.7; 95% CI 1.4-15.6, p=0.01). In the adjusted model, the association remained significant (OR 3.8; 95%CI 1.1-13.4, p=0.041). Conclusion: Two-hour recanalization is predictive of early neurological improvement and better early clinical outcomes in patients treated with combination Argatroban and tPA. A randomized, controlled clinical trial of this promising adjunctive therapy is warranted and ongoing (ARTSS-2 trial, NCT01464788 ).
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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 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".