5 Mechanical thrombectomy in acute ischemic stroke patients with low alberta stroke program early computed tomography scores
Bibliographic record
Abstract
Background and purpose Limited data exists on the benefit of mechanical thrombectomy (MT) in acute ischemic stroke patients presenting with low ASPECTS (Alberta Stroke Program Early Computed Tomography (CT) Score). The aim of this substudy was investigate the outcome of low ASPECTS (0–5) patients undergoing mechanical thrombectomy in the Systematic Evaluation of Patients Treated With Neurothrombectomy Devices for Acute Ischemic Stroke (STRATIS) Registry. Methods Data from the STRATIS Registry, a prospective, multicenter, non-randomized, observational study of AIS LVO patients treated with the Solitaire stent-retriever as the first choice therapy within 8 hours from symptoms onset, was used to identify patients with baseline ASPECTS 0–5. CT ASPECTS was adjudicated by a core lab blinded to clinical outcomes. Results A total of 57/763 (7.5%) patients had a baseline ASPECTS 0–5, of which 10 were ASPECTS 0–3 and 47 ASPECTS 4–5. Mean baseline NIHSS was 19.9±5.1. The majority of patients presented with ICA (42.1%) and M1 (47.4%) occlusions. IV-rtPA was administered in 68.4%. Mean onset to arterial puncture was 276±102.9 minutes and puncture to reperfusion time was 45.3±25.3 minutes. The majority of patients (85.5%) achieved substantial reperfusion (mTICI≥2b). Ninety-day outcome was reported in 52/57 (91.2%). The rate of good functional outcome (mRS≤2) was 28.8% (versus 59.7% in ASPECTS 6–10 group, p<0.001), which is higher than the 14.1% reported in the control arm 0–5 in the HERMES pooled analysis. Symptomatic intracranial hemorrhage and mortality rates were 7.0% and 30.8%, respectively. When further dichotomizing the group to ASPECTS 0–3 and 4–5 to determine the cut-off for MT futility, the rate of good outcome was 10% and 33.3%, respectively. In investigating the interaction between age and ASPECTS 0–5, low ASPECTS patients older than 75 had a lower rate of good clinical outcome than those 65–75 and less than 65 (0%, 18.2%, 44.8%). Conclusion In the STRATIS Registry, low ASPECTS 0–5 is associated with lower functional outcomes in patients undergoing mechanical thrombectomy. Clinical outcome in low ASPECTS may be age dependent. Prospective studies are needed to understand the benefit of MT in this patient population. Disclosures O. Zaidat: None. D. Liebeskind: None. A. Jadhav: None. S. Ortega-Gutierrez: None. V. Szeder: None. D. Haussen: None. D. Yavagal: None. M. Froehler: None. R. Jahan: None. T. Yao: None. N. Mueller-Kronast: None.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 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".