Acute astrocytic reaction is associated with 3-month functional outcome after stroke treated with endovascular therapy
Bibliographic record
Abstract
Abstract Introduction: More than 50% of large vessel occlusion (LVO) acute ischemic stroke (AIS) patients treated with endovascular therapy (EVT) remain severely disabled at 3 months. We hypothesized that acute astrocytic inflammatory response may play a pivotal role in post-AIS brain changes associated with poor functional outcome. We proposed to evaluate the level of YKL-40, a glycoprotein mainly released by reactive astrocytes. Patients and methods: A monocentric prospective cohort study was conducted on consecutive LVO AIS patients treated with EVT. Three blood samples (before, within 1 and 24-hour post-EVT) were collected to measure plasma YKL-40 concentrations. Functional outcome was assessed according to the modified Rankin Scale (mRS) score at 3 months. Results: Between 2016 and 2020, 120 patients were included. The plasma concentration of YKL-40 before EVT was statistically and independently associated with 3-month worse functional outcome (adjusted cOR, 1.59; 95% CI [1.05–2.44], p = 0.027) but not the two following samples 1-hour and 24-hour post-EVT. Accordingly, we found that excellent functional outcome was associated with a lower level of YKL-40 before and within 1 h after EVT (p = 0.005 and p = 0.003, respectively) but not when measured 24 h after EVT (p = 0.2). Discussion and conclusion: This study suggests that the astrocytic reaction to acute brain hypoxia, especially before recanalization, is associated with worse functional outcome. Such early biomarker of the astrocytic response in AIS may optimize individualized care in the future. Clinical Trial Registration-URL: http://www.clinicaltrials.gov. Unique identifier: NCT02900833.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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".