Importance of First Pass Reperfusion in Endovascular Stroke Care ‐ Insights From Thrombectomy and Aneurysm Registry (STAR)
Bibliographic record
Abstract
Background Mechanical thrombectomy has become the first‐line treatment strategy for patients with large‐vessel occlusion strokes. Often >1 thrombectomy maneuver is necessary to achieve reperfusion. A first‐pass (FP) effect with improved functional outcomes after mechanical thrombectomy has been described. Aim of the present study is to investigate the FP effect in a large, international, multicenter stroke database. Methods Patients who underwent mechanical thrombectomy for large‐vessel occlusion stroke in the anterior cerebral circulation between January 2014 and January 2021 and achieved complete reperfusion were identified from the STAR (Stroke Thrombectomy and Aneurysm Registry). We compared functional outcomes of patients with FP (defined as modified treatment in cerebral ischemia score 3 after a single thrombectomy maneuver) versus multiple‐pass complete reperfusion (defined as modified treatment in cerebral ischemia 3 after ≥1 thrombectomy maneuver). Results A total of 1481 patients with anterior circulation large‐vessel occlusion stroke and successful recanalization were included in the analysis. FP complete recanalization was achieved in 778 patients versus 703 patients with multiple‐pass complete reperfusion. Patients with FP complete recanalization had higher Alberta Stroke Programme Early CT [Computed Tomography] Score at baseline (9 [7–10] versus 8 [7–10]; P =0.002), were less likely to be men (47% versus 51%; P =0.078) and to have intracranial internal carotid artery occlusions (14% versus 27%), as well as more likely to have M1/M2 occlusions (86% versus 73%; P <0.001), diabetes (28% versus 24%; P =0.076), and atrial fibrillation (37% versus 32%; P =0.064). FP complete recanalization (odds ratio [OR], 1.49; P =0.026), lower age (OR, 0.966; P <0.010), lower prestroke modified Rankin scale score (OR, 0.601; P <0.001), diabetes (OR, 0.612; P =0.014), and higher Alberta Stroke Programme Early CT Score (OR, 1.183; P <0.001) were independent predictors of favorable functional outcome (defined as modified Rankin scale score ≤2). In a subgroup analysis, the effect of FP complete reperfusion on favorable outcome was only detectable in patients with M1 occlusions (OR, 1.667; P =0.045). Predictors for FP reperfusion success were lower National Institutes of Health Stroke Scale score at baseline (OR, 0.980; P =0.020) and M1 occlusions (OR, 1.990; P <0.001). Conclusions This analysis of a large, multicenter stroke database confirms the importance of FP reperfusion in endovascular stroke care.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 |
| 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".