Abstract P713: Early Apixaban Therapy After Ischemic Stroke in Patients With Atrial Fibrillation
Bibliographic record
Abstract
Background: The optimal timing of anticoagulation after stroke in patients with atrial fibrillation (AF) is unknown. Patients and methods: A prospective, open label study (NCT04435418) of patients with AF treated with apixaban within 14 days of ischemic stroke/TIA onset was conducted. Baseline and follow-up CT scans were assessed for hemorrhagic transformation (HT) and graded using European Cooperative Acute Stroke Study (ECASS) criteria. The primary endpoint was symptomatic HT. Incident HT rates were assessed as Objective Performance Criteria. Results: One-hundred AF stroke patients, with a mean age of 79±11 years were enrolled. Median infarct volume was 4 (0.5-10.75) ml. Median time from index event onset to apixaban initiation was 2 (1-6) days, and median baseline NIHSS was 4 (1-9). Asymptomatic HT on baseline imaging was present in 15 patients. Infarct volume (OR= 1.1, [1.02-1.12], P <0.0001) and NIHSS (OR= 1.11, [1.03-1.20], P =0.007) were both associated with baseline HT. No patients developed symptomatic HT or systemic hemorrhage. Incident asymptomatic HT was seen on follow-up CT scan in 3 patients. Patients with incident HT were functionally independent (mRS=0-2) at 90 days. Recurrent ischemic events occurred within 90 days in 13 patients, 4 of which were associated with severe disability (mRS 3-5) and 4 with death. Discussion: Early apixaban treatment did not precipitate symptomatic HT after stroke. All HT was asymptomatic identified on imaging. Recurrent ischemic events were common and clinically symptomatic. Conclusions: Symptomatic HT rates are likely to be low in randomized trials of DOAC initiation post-stroke. Recurrent ischemic stroke may be the major clinical outcome.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".