Safety and functional outcomes of early antiplatelet therapy within 24 hours following mechanical thrombectomy for secondary prevention in emergent large-vessel occlusion strokes: a registry study
Bibliographic record
Abstract
OBJECTIVE: The aim of this study was to demonstrate the safety and functional outcomes of antiplatelet use within 24 hours following mechanical thrombectomy (MT). METHODS: A retrospective review of prospectively collected data for consecutive patients who underwent MT for acute ischemic stroke (AIS) between 2016 and 2020 was performed. Patient demographics, comorbidities, Alberta Stroke Program Early CT Score (ASPECTS), antiplatelet use, neurological status, and tissue plasminogen activator use were collected. Patients were stratified into two groups, early (< 24 hours) or late (> 24 hours), based on when antiplatelet therapy was initiated post-MT. The primary outcome was safety, determined based on the rate of symptomatic intracranial hemorrhage (sICH) and inpatient mortality. The secondary outcome was functional independence (defined as modified Rankin Scale [mRS] score ≤ 2) at discharge and 30 days and 90 days postoperatively. The two cohorts were compared using univariate analysis. Multiple imputations were used to create complete data sets for missing data. Multivariable analysis was used to identify predictors for sICH and functional outcomes. RESULTS: A total of 190 patients met inclusion criteria (95 per group). Significant differences between the early and late groups included sex, preoperative intravenous thrombolysis, angioplasty, stent placement, and thrombectomy site. ICH (symptomatic and asymptomatic) and inpatient mortality were not significantly different between the groups. The mRS score was significantly lower at discharge (p < 0.001), 30 days (p = 0.011), and 90 days (p = 0.024) following MT in the early group. Functional independence was significantly higher in the early antiplatelet group at discharge (p = 0.015) and at 30 days (p = 0.006). Early antiplatelet use was independently associated with significantly increased odds of achieving functional independence at discharge (OR 3.07, p = 0.007) and 30 days (OR 5.78, p = 0.004). Early antiplatelet therapy was not independently associated with increased odds of sICH. CONCLUSIONS: Early antiplatelet initiation after MT in patients with AIS was independently associated with significantly increased odds of improved postoperative functional outcomes without increased odds of developing sICH.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".