Argatroban Anticoagulation in Patients With Acute Ischemic Stroke (ARGIS-1)
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: Direct thrombin inhibitors, including argatroban, represent an anticoagulant class distinct from heparins. We investigated the safety of 2 levels of argatroban anticoagulation in acute ischemic stroke. METHODS: This multicenter, randomized, double-blinded, placebo-controlled study included 171 patients with acute (< or =12 hours from onset) stroke and National Institutes of Health Stroke Scale (NIHSS) scores of 5 to 22. Patients received continuous intravenous argatroban (100 microg/kg bolus) at 3 microg/kg per minute (n=59) or 1 microg/kg per minute (n=58), respectively, adjusted to target activated partial thromboplastin times (aPTTs) 2.25x and 1.75x baseline or placebo (n=54) for 5 days. The primary outcome was symptomatic intracranial hemorrhage (ICH) at 30 days. RESULTS: Baseline characteristics including neurologic deficits (median NIHSS score 9) were comparable between groups. Argatroban at mean doses of 2.7 and 1.2 microg/kg per minute increased aPTTs significantly (P<0.001), with mean aPTTs at or near target values throughout infusion. Symptomatic ICH was not significantly different between groups (high-dose argatroban, 5.1%; low-dose argatroban, 3.4%; placebo, 0%; P> or =0.18), with 3 events during argatroban infusion and 2 events > or =7 days after stopping infusion. No significant between-group differences occurred in asymptomatic ICH (7 events), major systemic hemorrhage (no event), or 90-day mortality (13.4% overall). CONCLUSIONS: In this first North American randomized, double-blinded, placebo-controlled study of direct thrombin inhibition in acute ischemic stroke, argatroban at each dose evaluated significantly prolonged aPTTs without increasing ICH or major bleeding. These results suggest that argatroban provides safe anticoagulation in acute ischemic stroke, warranting future studies powered to evaluate its efficacy and more precisely estimate event rates.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".