Endovascular Therapy for Large Vessel Stroke in the Elderly: Hope in the New Stroke Era
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: Acute ischemic stroke (AIS) in the elderly encompasses approximately one-third of all AIS cases. Outcome data have been for the most part discouraging in this population. We aim to evaluate the outcomes in a large contemporary series of elderly patients treated with thrombectomy. METHODS: Retrospective analysis of a single-center endovascular database for consecutive elderly (≥80 years) patients treated for anterior circulation large vessel occlusion AIS between September 2010 and April 2015. Univariate- and multivariate analyses were performed to identify the predictors of good clinical outcome (90-day modified Ranking Scale [mRS] ≤2). Receiver operating characteristic curves were used to calculate the optimal final infarct volume (FIV) threshold to predict good outcomes. RESULTS: A total of 111 patients met our inclusion criteria (mean age 84.8 ± 4.2 years; National Institutes of Health Stroke Scale [NIHSS] score 19.1 ± 5.6; time from last-known normal to puncture, 349.6 ± 246.6 min; 33% male; 68% Alberta Stroke Program Early CT Score [ASPECTS] ≥8). The rates of successful reperfusion (modified treatment in cerebral ischemia ≥2b), symptomatic intracranial hemorrhage and 90-day mortality were 80%, 7% and 41%, respectively. The overall rate of good outcome was 29% (n = 32/111) but was 52% (n = 13/25) in patients with baseline mRS score of 0-2 who were selected based on CT perfusion and treated with stent retrievers. On multivariate analysis, only ASPECTS (OR 2.17; 95% CI 1.28-3.67.7; p = 0.004) and baseline NIHSS score (OR 0.87; 95% CI 0.77-0.97; p = 0.013) were independently associated with good outcome. A FIV ≤16 ml demonstrated the greatest accuracy for identifying good outcomes (sensitivity 75.0%, specificity 82.6%). CONCLUSIONS: Our results are encouraging demonstrating nearly one-third of elderly patients achieving full independence at 90 days. Contemporary treatment paradigms employing optimized patient selection and modern thrombectomy technology may result in even better outcomes.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".