Abstract P376: ASPECTS Decay and Functional Outcomes in Inter-Facilities Transferred Large Vessel Occlusion Acute Ischemic Stroke
Bibliographic record
Abstract
Background and objective: Endovascular Thrombectomy (EVT) treatment for patients with Acute Ischemic Stroke (AIS) due to Large Vessel Occlusion (LVO) was shown to improve functional outcomes. However, many eligible patients have no direct access to EVT capable centers, necessitating emergent inter-facilities transfers. Prolonged transfer time and reperfusion delay result in stroke progression and poor long-term outcomes. We evaluated the correlation between stroke evolution on non-enhanced Computed Tomography (CT) determined by Alberta Stroke Program Early CT Score (ASPECTS) decay and functional outcomes in transferred LVO patients. Method: Retrospective analysis of prospectively collected comprehensive stroke center data of patients with anterior circulation LVO (ICA, MCA M1 & M2) transferred for EVT. Stroke evolution was assessed based on CT ASPECTS decay defined as: [Outside hospital ASPECTS - Arrival pre-treatment ASPECTS]. A significant ASPECTS decay was defined as at least 2 points decrement in ASPECTS from initial imaging. Primary outcome was functional independence at 90-days, mRS 0-2. The correlation between functional independence and ASPECTS decay was assessed using logistic regression. Results: Of 108 patients transferred for EVT both initial outside and follow up CTs were available for 78 patients. Median IQR NIHSS was 16 (11, 20), age was 65.5 (54, 77), 33 (42%) of patients were women. Time from LKW to groin puncture was 9.91 (5.77, 13.35) hours and time from initial CT to repeat images was 3.6 (2.5, 4.8) hours. Median IQR ASPECTS decay was 1 (1, 2). Median IQR ASPECTS decay/hour 0.3 (0.0, 0.6). Significant ASPECTS decay was observed in 32 (41%) patients, and was more likely to occur with images repeated more than 3 hours from initial imaging (38% vs 10%, P<0.001). Significant ASPECTS decay correlated with decreased likelihood of achieving independence at 90-days (AOR: 0.21, 95% CI 0.04-0.99, P-value=0.048). Conclusion: ASPECTS decay was more likely to occur in prolonged transfers and correlated with lower likelihood of functional independence following EVT. Expedited transfers and faster reperfusion are vital to optimize thrombectomy outcomes in transfer 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 | 0.001 | 0.003 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".