Inflammatory Response in the First 48 Hours of Acute Ischemic Stroke
Bibliographic record
Abstract
Background : Activation of endothelial cells is an important mediator of atherothrombosis. Markers of endothelial cells such as soluble adhesion molecules can be measured in plasma and reflect the activity of the endothelium and the inflammatory system. We hypothesized that patients with acute ischemic stroke would have a dynamic change in their markers of inflammation over time, primarily reflecting the activation of endothelial cells and the immunological ability to respond to an acute brain insult. We also believed that the acute inflammatory response in the first 72 hours might affect the short and long term clinical outcome. Methods : We conducted a prospective case study of 27 patients that were admitted with acute ischemic stroke during the years 2005 - 2007. All were examined clinically using the National Institute of Health Stroke Scale [NIHSS] and a brain computed tomography (CT) scan was done in the first 24 hours. Blood was drawn for levels of E-selectin, intracellular adhesion molecule 1 (ICAM-1), and vascular cellular adhesion molecule 1 (VCAM-1) on admission and 48 hours later by ELISA methods. The blood was separated and the serum was frozen at -80 ° C until analyzed as one batch. Results : Mean blood concentrations of soluble E-selectin, intracellular adhesion molecule 1 (ICAM-1), and vascular cell adhesion molecule 1 (VCAM-1) were measured on admission and 48 hours later. Clinically there were 3 groups: 6 patients with transient ischemic attack [TIA] (58 ± 12 years old, 3 women and 3 men), 8 patients with cerebrovascular accident [CVA] without recovery (75 ± 18 years old, 4 women and 4 men), and 13 patients with CVA who recovered clinically (70 ± 13 years old, 6 women and 7 men). There was a significant increase in E-selectin levels in the second measurement (from 27.5 ± 21.6 ng/ml to 38.7 ± 19.6 ng/ml; Z = -1.997, P = 0.046) in the TIA group. An inverse correlation was found between E-selectin level and age among TIA patients on admission (r = -0.913, P = 0.011) and 48 hours later (r = -0.850, P = 0.032). A positive correlation between ICAM-1 and VCAM-1 levels was found 48 hours post admission (r = 0.436, P = 0.026). Conclusions : We have demonstrated a significant increase in E-selectin level within 48 hours among patients with TIA. In the TIA group there was an inverse correlation between age and E-selectin level. This may suggest that younger patients can protect their ischemic brain more efficiently due to a more competent immune system, and that the immune system may have an important role in ischemic brain injury. doi:10.4021/jnr101e
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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 | 0.009 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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".