Low caveolin-1 predicts the poor outcome in patients with acute ischemic stroke
Bibliographic record
Abstract
Objective To investigate the correlation between the baseline serum caveolin-1 (Cav-1) levels and the clinical outcome in patients with acute ischemic stroke at day 90 after onset. Methods Consecutive patients with acute ischemic stroke treated in hospital were enrolled. The Cav-1 levels were measured by the enzyme-linked immunosorbent assay. Functional outcomes were assessed at day 90 after onset using the modified Rankin Scale (mRS), and mRS 0-2 was defined as good outcome. The demographic and clinical characteristics of the good outcome group and the poor outcome group were compared. Multivariate logistic regression analysis was used to identify the correlation between the low serum Cav-1 levels and the poor outcome at day 90 after onset. Results A total of 169 patients with acute ischemic stroke were included in the analysis, including 116 males (68.5%). Their age ranged from 50 to 83 years (mean, 63.4±9.1). The mean serum Cav-1 level was 5.483±2.617 ng/ml. Eighty-three-patients (49.1%) were in the good outcome group and 86 (50.9%) were in the poor outcome group. Univariate analysis showed that the proportions of patients in subcortical infarct (60.5% vs. 43.4%; χ2=4.944, P=0.026) and diffusion-weighted imaging-Alberta Stroke Program Early CT Score, (DWI-ASPECT) ≤7 (58.1% vs. 40.9%; χ2=4.984, P=0.026), as well as age (65.5±8.9 years vs. 61.2±10.7 years; t=2.793, P=0.006), baseline systolic blood pressure level (140.6±17.2 mmHg vs. 134.9±13.4 mmHg; t=2.368, P=0.019; 1 mmHg=0.133 kPa), and National Institutes of Health Stroke Scale (NIHSS) score (4.8±3.4 vs. 3.9±2.2; t=2.211, P=0.036) were significantly higher than those of the good outcome group, and the serum Cav-1 level was significantly lower than that of the good outcome group (4.9±2.3 ng/ml vs. 6.1±2.1 ng/ml; t=2.977, P=0.003). After adjusting for the related confounding factors, multivariate logistic regression analysis showed that the low Cav-1 level was an independent predictor of poor outcome at day 90 in patients with acute ischemic stroke (odd ratio, 1.157, 95% confidence interval 1.016-1.319; P=0.028). Conclusion The low serum Cav-1 level is an independent predictor of poor outcome in patients with acute ischemic stroke. Key words: Stroke; Brain Ischemia; Caveolin 1; Prognosis; Risk Factors; Treatment Outcome; Biomarkers
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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 | 0.002 |
| 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) | 0.002 | 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".