Intravenous tPA (Tissue-Type Plasminogen Activator) in Patients With Acute Ischemic Stroke Taking Non–Vitamin K Antagonist Oral Anticoagulants Preceding Stroke
Bibliographic record
Abstract
Background and Purpose- Although there are no trials or large cohorts to inform clinical care, current guidelines caution against giving intravenous tPA (tissue-type plasminogen activator) to patients with acute ischemic stroke who are taking non-vitamin K antagonist oral anticoagulants (NOACs). We performed a literature review of intravenous tPA in patients treated with NOACs preceding stroke. Methods- A literature search of PubMed was performed encompassing January 2010 to March 2018. Patient characteristics, timing of last medication intake, laboratory testing, use of reversal, and outcomes ≤3 months after discharge were summarized. Results- We identified 55 studies with 492 NOAC patients receiving tPA (dabigatran, 181; rivaroxaban, 215; apixaban, 40; and unspecified NOAC, 56). Among patients with complete data, the median time from the last NOAC intake to symptom onset was 8 hours (interquartile range, 2.5-14.5), with 55.2% (80/145) within 12 hours. Few patients underwent sensitive laboratory tests, such as thrombin time, diluted thrombin time, or anti-Xa assays before tPA administration. The overall observed rates of symptomatic intracranial hemorrhage, mortality, and favorable outcomes (National Institutes of Health Stroke Scale score, ≤1; modified Rankin Scale score, 0-2; or neurological improvement in the National Institutes of Health Stroke Scale score, ≥8 points) were 4.3% (20/462), 11.3% (48/423), and 43.7% (164/375), respectively. Among dabigatran-treated patients, reversal with idarucizumab was associated with fewer symptomatic intracranial hemorrhage (4.5% [2/44] versus 7.4% [8/108]; unadjusted odds ratio, 0.60; 95% CI, 0.12-2.92), death (4.5% [2/44] versus 12.0% [13/108]; unadjusted odds ratio, 0.35; 95% CI, 0.08-1.61), and more favorable outcomes (79.1% [34/43] versus 39.2% [29/74]; unadjusted odds ratio, 5.86; 95% CI, 2.45-14.00), although the differences were not statistically significant for symptomatic intracranial hemorrhage and death. Conclusions- These preliminary observations suggest that tPA may be reasonably well tolerated without prohibitive risks of bleeding complications in selected patients on NOACs. Reversal of anticoagulant effects by idarucizumab for dabigatran-treated patients before tPA is an emerging strategy that was associated with more favorable outcomes.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".