Abstract TMP9: Use of Immediate Dual Antiplatelet Therapy in Carotid Stenting for Tandem Occlusion Stroke is Associated With Acceptable Symptomatic Intracranial Haemorrhage Rates
Bibliographic record
Abstract
Introduction: Observational studies have shown conflicting data on safety and efficacy of carotid stenting in the setting of acute ischemic stroke. We evaluated our stent patency, functional outcomes and symptomatic intracranial haemorrhage rates in acute strokes with tandem occlusions treated with endovascular thrombectomy and concurrent carotid stenting. Methods: Prospectively maintained EVT databases at two comprehensive stroke centres were interrogated for patients with anterior circulation tandem occlusion stroke who were treated with EVT and extracranial carotid artery stenting. Intracranial haemorrhage on post-operative CT & MRI brain was assessed on European Cooperative Acute Stroke Study II criteria. Stent patency was assessed on CTA 12-24 hours post-operatively. Clinical and neuroimaging endpoints were modified treatment in cerebral ischaemia (mTICI) score, stent patency, any intracranial haemorrhage, symptomatic intracranial haemorrhage (sICH), and 90-day modified Rankin Scale (mRS). Results: Between 2016 and 2019, 105 patients were identified (mean age 70 years, 78% male, median NIHSS 15). Median time to reperfusion was 9.26 hours, with 97.1% achieving mTICI 2b/3. Immediate dual antiplatelet therapy was used in 102 (97.1%) patients. Good functional outcomes (mRS 0-2) were achieved in 53 (51%) patients. Acute stent thrombosis occurred in 12 (11.4%) patients with 7 (58.3%) still achieving good functional outcomes. Any intracranial haemorrhage occurred in 46 (44%) of all patients. Symptomatic intracranial haemorrhage occurred in 8 (7.6%). All sICH patients had 90-day mRS of 3-6. Conclusion: Acute tandem occlusion stroke patients present complex management challenges. Despite immediate dual antiplatelet therapy, acute stent occlusions may still occur. Symptomatic intracranial haemorrhage rates are acceptable in these complex patients, however, all patients with sICH had poorer outcomes.
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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 | 0.001 |
| 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) | 0.002 | 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".