Favorable Vascular Profile is an Independent Predictor of Outcome
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: We hypothesized that a favorable vascular profile (FVP) defined as anatomic intactness of the Circle of Willis combined with a stable cerebral perfusion pressure (mean arterial blood pressure>65 mm Hg) is a prerequisite for collateral recruitment and maintenance and may improve outcome. We performed post hoc analyses of a subset of the Safety and Efficacy of NeuroFlo Technology in Ischemic Stroke (SENTIS) trial data set to identify whether FVP is associated with independent outcome. METHODS: SENTIS was a randomized, controlled device trial comparing hemodynamic augmentation with the NeuroFlo device to best medical treatment. We identified all patients from the primary dataset (n=515 patients) with available intracranial vascular imaging at baseline. Vascular imaging data were read blind to clinical and treatment data. We performed univariate and multivariate analyses to identify predictors of independent outcome (modified Rankin Scale 0-2) at 90 days. RESULTS: A total of 192/515 SENTIS subjects had available baseline vascular imaging (91 treated/101 controls). Baseline characteristics did not differ between groups. Overall, FVP was seen in 89.6% of patients and predicted independent outcome in univariate (odds ratio, 7.46; 95% confidence interval, 1.68-33.18; P=0.0082) and multiple logistic regression analyses (odds ratio, 10.22; 95% confidence interval, 1.78-58.57; P=0.0091). Aside from FVP, only baseline National Institutes of Health Stroke Scales (NIHSS; odds ratio, 0.74; 95% confidence interval, 0.67-0.82, P<0.0001) entered the predictive model. There was no interaction with randomization to treatment or control. CONCLUSIONS: FVP and baseline NIHSS independently predicted outcome in this subset of the SENTIS population. FVP is a novel parameter to predict outcome of acute stroke patients and further studies will establish its potential role for selection of optimal candidates for hemodynamic augmentation. Clinical Trial Registration Information- URL: http://www.clinicaltrials.gov. Unique identifier: NCT00119717.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".