Abstract WP8: Blood Pressure And EVT Outcomes By The Baseline Perfusion And Recanalization Timing
Bibliographic record
Abstract
Introduction: Leptomeningeal collaterals help maintain cerebral perfusion after the large vessel occlusion (LVO), potentially regulated by systemic blood pressure (BP). We hypothesized that the association between BP and endovascular treatment (EVT) outcomes would differ by the baseline perfusions status and before and after recanalization. Method: From a prospective registry, we identified anterior circulation LVO patients who received EVT ≤24 hours after their onset, had baseline perfusion, and achieved post-EVT mTICI ≥2b. BPs were measured from arrival at 5-minute intervals in the ER and during the procedure. Systolic BPs (SBP) up to 24 hours after EVT were summarized as dropmax (the maximal decrement over two consecutive measurements), incmax (the maximal increment), mean, coefficient of variation, and standard deviation. Baseline perfusion images were quantified using Olea Sphere. Infarct proportion was defined as the volume of final infarct on DWI within the volume of Tmax>6 sec. Significant hemorrhage included PH2 or HBC class 3. 3-month mRS was prospectively collected. Result: A total of 388 LVO patients were included. Mean SBP at arrival was 153 ± 42 mm Hg; the average count of BP measurements was 47 ± 17 per patient.In the adequate baseline perfusion group, i.e., hypoperfusion intensity ratio (HIR) <0.5, SBP parameters were better associated with infarct proportion and functional outcome before the recanalization period; weaker associations were noted after recanalization. In the poor baseline perfusion group, i.e., HIR ≥0.5, SBP parameters before recanalization were partially associated with the infarct proportion but not functional status. No association between SBP parameters and significant hemorrhage was noted. (estimates in Table) Conclusion: Association between BP and patient outcomes differs by baseline perfusion status and before and after recanalization. BP management during the peri-EVT period may therefore need to be individualized.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".