Endovascular Treatment of Patients With Acute Ischemic Stroke With Tandem Lesions Presenting With Low Alberta Stroke Program Early Computed Tomography Score
Bibliographic record
Abstract
Background Recent trials confirmed the efficacy and safety of endovascular thrombectomy in patients with low Alberta Stroke Program Early Computed Tomography Score (ASPECTS); however, evidence in tandem lesions is limited. This study evaluates endovascular thrombectomy safety and efficacy in patients with acute large‐vessel occlusion with tandem lesions, stratified by baseline ASPECTS. Methods and Results We conducted a retrospective analysis of data from 16 centers. Inclusion criteria included the following: age ≥18 years, anterior circulation tandem lesions, endovascular thrombectomy <24 hours of symptom onset, and ≥70% internal carotid artery stenosis/occlusion. Patients were categorized into low (0–5) and high (6–10) ASPECTS. Inverse probability of treatment weighting matching was used to balance the groups. Primary outcomes included the following: 90‐day modified Rankin Scale (mRS) score 0 to 2 and symptomatic intracranial hemorrhage. Secondary outcomes included the following: ordinal mRS, mRS 0 to 3, modified Thrombolysis in Cerebral Infarction ≥2b and 2c‐3, petechial hemorrhage, parenchymal hematoma (1/2), early neurologic improvement, and mortality. Of 691 patients, 44 had ASPECTS 0 to 5 and 505 had ASPECTS 6 to 10. Patients with low ASPECTS had lower odds of 90‐day mRS 0 to 2 (adjusted odds ratio [OR], 0.48; P =0.036) and higher odds of symptomatic intracranial hemorrhage (adjusted OR, 3.78; P =0.014). Additional significant differences were found in mRS shift, mRS 0 to 3, parenchymal hematoma 2, and mortality. In interaction analysis, the association between low ASPECTS and functional outcome persisted only in the internal carotid artery occlusion subgroup, with no significant interaction indicating no reason to suppose a difference between the effect of both subgroups. Conclusions Endovascular thrombectomy in patients with tandem lesions with low ASPECTS is associated with reduced odds of functional recovery and increased symptomatic intracranial hemorrhage risk, when compared with patients with high ASPECTS. However, 30% of patients with low ASPECTS achieved 90‐day functional independence, suggesting potential benefit for a nonnegligible proportion of patients.
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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 | 0.000 | 0.002 |
| 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) | 0.001 | 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".