Factors Associated With Prolonged Venous Transit in Large Vessel Occlusion Acute Ischemic Strokes
Bibliographic record
Abstract
ABSTRACT Background and Purpose Prolonged venous transit (PVT), derived from computed tomography perfusion (CTP) time‐to‐maximum ( T max ) maps, reflects compromised venous outflow (VO) in acute ischemic stroke due to large vessel occlusion (AIS‐LVO). Poor VO is associated with worse clinical outcomes, but pre‐treatment markers predictive of PVT are not well described. Methods We conducted a retrospective analysis of 189 patients with anterior circulation AIS‐LVO who underwent baseline CT evaluation, including non‐contrast CT, CT angiography, and CTP. PVT was assessed on T max maps; PVT+ was defined as T max ≥ 10 s within the posterior superior sagittal sinus or torcula. Baseline clinical data were collected. Multivariable logistic regression identified independent associations between pre‐treatment markers and PVT. Results PVT+ was identified in 65 patients (34%). In multivariable analysis, higher admission National Institutes of Health Stroke Scale (NIHSS) scores (adjusted odds ratio [aOR], 1.05 per point; 95% confidence interval [CI], 1.01–1.11; P = 0.028) and male sex (aOR, 1.98; 95% CI, 1.03–3.89; P = 0.043) were independently associated with PVT+. Conclusions Higher admission NIHSS scores and male sex are independently associated with PVT in anterior circulation AIS‐LVO, suggesting that readily available clinical markers may help identify patients with poor VO profiles.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".