Outcomes of Endovascular Therapy in Young Patients with Acute Basilar Artery Occlusion: A Substudy of BASILAR Registry Study
Bibliographic record
Abstract
INTRODUCTION: This study aimed to investigate clinical outcomes in young patients with basilar artery occlusion (BAO) receiving endovascular therapy (EVT). METHODS: Consecutive patients with BAO within 24 h who underwent EVT from the BASILAR Registry study were enrolled. We compared clinical outcomes of young patients (aged 18-55 years) with older patients (aged > 55 years) with stroke due to BAO at 90 days and 1 year after EVT. The primary and secondary outcomes were improvement in modified Rankin scale scores (mRS) at 90 days and either favorable (mRS 0-3) or mortality at 90 days, respectively. RESULTS: A total of 646 patients were included, of which 152 (23.53%) were aged 18-55 years. Dyslipidemia (42.11% vs. 30.36%, p = 0.007) and good collateral circulation (60.52% vs. 46.35%, p = 0.002) were more frequent in young patients than older. Stroke etiologies in young patients included large artery atherosclerosis (67.11%), cardioembolism (15.13%), and vessel dissection (5.26%). Young patients were associated with better prognosis (mRS: adjusted odds ratio (aOR) 1.73; 95% confidence interval [CI] 1.21-2.48; mRS 0-3: aOR 1.60; 95% CI 1.01-2.54; mortality: aOR 0.60; 95% CI 0.38-0.93) at 90 days. Baseline National Institutes of Health Stroke Scale (NIHSS) score, posterior circulation Alberta Stroke Program Early Computed Tomography Score (pc-ASPECTS), and sex were independent predictors of clinical outcomes of young patients at 90 days after EVT. CONCLUSION: Young patients with BAO had better clinical outcomes after EVT than old patients. Predictors of clinical outcomes in young patients undergoing EVT included baseline NIHSS score, pc-ASPECTS, and sex. TRIAL REGISTRATION: Clinical Trial Registration-URL: ChiCTR180001475 ( www.chictr.org.cn ).
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".