Impact of immediate post-reperfusion cooling on outcome in patients with acute stroke and substantial ischemic changes
Bibliographic record
Abstract
BACKGROUND: In patients with acute stroke and an extensive ischemic burden at baseline, the prognosis is usually poor despite timely reperfusion. OBJECTIVE: To overcome universally poor outcomes in such patients, by applying immediate 'post-reperfusion cooling' in order to reduce reperfusion-related complications, and to describe the clinical and imaging characteristics. METHODS: Patients having (1) an acute anterior large vessel occlusive stroke within 4.5 h since last known well, (2) Alberta Stroke Program Early CT Score (ASPECTS) ≤5 on baseline imaging, and (3) targeted temperature management with endovascular cooling after confirmed reperfusion were included in this study. RESULTS: Eighteen patients (mean±SD age 59.5±10.9 years, median National Institutes of Health Stroke Scale score of 17, and median ASPECTS of 3) were analyzed. Median lesion volumes at baseline and after treatment were 130.2 and 110.6 mL, respectively. Median time from onset to the start of hypothermia and hypothermia duration were 213 min and 51 h, respectively. Favorable outcome (modified Rankin Scale ≤2) at 3 months was observed in 10 (55.6%) patients. Symptomatic intracranial hemorrhage, malignant brain edema, and pneumonia were observed in 2, 6, and 8 patients, respectively. CONCLUSIONS: The use of post-reperfusion cooling as a rescue treatment in patients with substantial ischemia at baseline might improve clinical outcome.
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) | 0.000 | 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) | 0.000 | 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".