Infarct Location Matters: Basal Ganglia Involvement Predicts Poor Outcomes despite Successful Endovascular Thrombectomy in Large Vessel Occlusion Stroke
Bibliographic record
Abstract
PURPOSE: Infarct location may significantly influence clinical outcomes in patients with acute ischemic stroke (AIS) treated with endovascular thrombectomy (EVT). This study aimed to investigate the impact of basal ganglia (BG) infarction on outcomes in AIS patients with large vessel occlusion (LVO) who achieved successful recanalization. MATERIALS AND METHODS: We retrospectively analyzed consecutive AIS patients who underwent EVT at our center between March 2016 and January 2019. Patients with LVO who achieved successful recanalization (modified Thrombolysis in Cerebral Infarction ≥2b) were included. Preprocedural diffusion-weighted imaging (DWI) was used to identify BG infarction. Poor outcome was defined as a 3-month modified Rankin Scale score of 3-6. Multivariate logistic regression analysis was performed to identify independent predictors of poor outcome. RESULTS: A total of 222 patients were included, of whom 160 (72.1%) had BG infarction. Independent predictors of poor outcome included older age (odds ratio [OR], 1.10; P<0.001), higher National Institute of Health Stroke Scale scores (OR, 1.20; P<0.001), lower DWI-Alberta Stroke Program Early Computed Tomography Scores (OR, 0.79; P=0.009), hemorrhagic transformation (OR, 2.97; P=0.031), and BG infarction (OR, 4.14; P=0.002). CONCLUSION: BG infarction was independently associated with poor outcome despite successful recanalization. These findings underscore the prognostic importance of infarct location and support the need for tailored treatment strategies in AIS patients with BG involvement.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".