Abstract TP32: Efficacy and Safety of Hyper-acute Stenting for Symptomatic Intracranial Atherosclerotic Disease
Bibliographic record
Abstract
Introduction: Recent data suggests stenting of symptomatic intracranial atherosclerotic disease (ICAD) in the hyper-acute period (< 8 days of symptom onset) is associated with a high incidence of early postoperative morbidity and mortality. We assessed the efficacy and safety of this select group of patients at our institutions. Methods: Between December 2017 to May 2019, anterior circulation stroke patients who underwent acute stenting of symptomatic intracranial atherosclerotic disease with the Atlas stent (Stryker) were identified from a prospectively maintained database of stroke patients at two comprehensive stroke centres. Baseline characteristics, imaging, and clinical outcomes are reported. Results: Nine cases were identified (mean age 71years, 44.4% male, median NIHSS 9 (range 5-18)). All patients had baseline mRS of 3 or less. Median time from symptom onset to groin puncture was 10hours (range 4-96hours). All patients received dual-antiplatelet therapy with Aspirin and Prasugrel(DAPT) either immediately before or after the procedure. In patients who did not receive pre-procedure loading with DAPT (55.6%), a single intravenous dose of Abciximab (mean 9mg +/- 4mg) or Tirofiban (1mg) was given intra-operatively. No thromboembolic complications or mortality occurred in the early postoperative period (within 72hours). All patients showed improvement in target vessel perfusion on day-one CT-perfusion. At 90-days, 7 (77.8%) patients were either functionally independent (mRS 0-2) or at their pre-operative baseline. No symptomatic intracranial haemorrhage occurred. No recurrent target vessel strokes were recorded. One patient died of medical complications unrelated to intracranial stenting and one patient was mRS 3 at 90-days. Conclusion: Hyper-acute stenting of symptomatic ICAD may be safe and effective. Antiplatelet treatment strategies and advances in stent devices may be critical in the success of this approach.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".