Intracerebral arterial blood pressure in the vasculature distal to large vessel occlusions in patients with ischemic stroke: correlation with clinical and imaging parameters
Bibliographic record
Abstract
Introduction Mechanical thrombectomy is a highly effective treatment for acute ischemic stroke (AIS) caused by large vessel occlusions (LVO). However, our understanding of the pathophysiology of AIS is still limited, particularly regarding the ischemic microenvironment distal to the occlusion. Aim To investigate the relationship between the intracerebral blood pressure (BP) distal to an LVO and clinical and imaging parameters. Methods In this single-center prospective study, intracerebral BPs proximal and distal to the occluding clot were measured during thrombectomy in patients with AIS of the anterior circulation caused by LVO. BPs were correlated with imaging parameters and clinical data using Spearman’s rank correlation and linear regression. Results 25 patients were included. A significant correlation was found between the mean arterial pressure (MAP) distal to the occlusion and the baseline Alberta Stroke Program Early CT Score (Spearman r=0.503, P=0.014) and baseline National Institutes of Health Stroke Scale score (r=−0.439, P=0.036). No significant correlation was observed between the MAP distal to the occlusion and collateral scores (eg, MAP vs American Society of Interventional and Therapeutic Neuroradiology/Society of Interventional Radiology score (r=0.307, P=0.165) or modified Rankin Scale (mRS) score (pre-mRS vs 90-day mRS; r=0.013, P=0.952)). Systemic MAPs did not correlate with the MAP distal to the clot (eg, R 2 =0.029, P=0.593). Conclusion The intracerebral BP measured in the ischemic vasculature distal to the LVO correlates with the extent of the ischemic core and the clinical severity at baseline, but not with collateral scores, systemic BPs, or functional outcome. These results shed light on the pathophysiology of BP mechanisms in AIS and can be the basis for further research in this field.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".