Acute Stroke With Large Ischemic Core Treated by Thrombectomy
Bibliographic record
Abstract
Background and Purpose- Acute stroke patients with a large ischemic core may still benefit from mechanical thrombectomy (MT), but the predictors of clinical outcome are not well known after MT. We investigated the clinical and imaging factors associated with good outcome and mortality at 90 days in acute stroke patients with a large baseline ischemic core treated with MT. Methods- Data from the multicentric prospective ETIS (Endovascular Treatment in Ischemic Stroke) registry of consecutive acute ischemic stroke patients treated with MT from January 1, 2012, to August 31, 2016, were retrospectively analyzed. Baseline large ischemic core was defined as diffusion-weighted imaging (DWI)-Alberta Stroke Program Early CT Score of ≤5. The degree of disability was assessed by the modified Rankin Scale at 90 days. Outcomes included good outcome (modified Rankin Scale score of ≤2), and mortality (modified Rankin Scale score of 6). Results- Among 216 patients with DWI-Alberta Stroke Program Early CT Score of ≤5 (median DWI volume 77 mL, interquartile range 52-120 mL) treated with MT, good outcome was achieved in 55 (25.4%) patients and 75 (34.7%) died at 90 days. Hemorrhagic transformation was detected in 40 (18.5%) patients within 24 hours post-MT. Older age (adjusted odds ratio [OR] for every 10 years, 0.62; 95% CI, 0.48-0.80; P<0.001) and increased DWI lesional volume (adjusted OR, 0.98; 95% CI, 0.97-0.99; P<0.001) were associated with a lower chance of achieving a good outcome, while successful recanalization (modified Thrombolysis in Cerebral Infarction [mTICI] grades of ≤2b) predicted good outcome (adjusted OR, 4.56; 95% CI, 1.79-11.62; P=0.001). Successful recanalization (OR, 0.46; 95% CI, 0.22-0.97; P=0.042), increased DWI lesional volume (OR, 1.02; 95% CI, 1.01-1.03; P<0.001), age (OR for every 10 years, 1.72; 95% CI, 1.31-2.26; P<0.001), and diabetes mellitus (OR, 3.23; 95% CI, 1.34-7.8; P=0.009) were independent predictors of 90-day mortality. Conclusions- Successful recanalization and baseline DWI lesional volume are the strongest predictors of outcome in stroke patients with a large ischemic core.
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 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) | 0.001 | 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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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; both teacher heads agree on what is shown here.
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".