Relevance of cervical internal carotid artery patency after thrombectomy in tandem occlusion. Are we missing an opportunity to revascularize?
Bibliographic record
Abstract
BACKGROUND: Treatment options for cervical internal carotid artery (c-ICA) occlusion in tandem occlusions (TOs) include emergent carotid artery stenting (eCAS) and angioplasty. We attempted to determine the impact of c-ICA reocclusion on the risk of recurrent ischemic stroke (IS) and stroke-related death, as well as functional independence. METHODS: Patients with TOs undergoing endovascular thrombectomy (EVT) from April 2016 to October 2024 were included. The primary outcome was the 90-day composite of recurrent IS and stroke-related death. Secondary outcomes included the rate of 90-day functional independence (modified Rankin Scale (mRS) 0-2) and mortality. We used binary logistic regression to explore the association between c-ICA reocclusion and the outcomes and to identify predictors of c-ICA reocclusion or future revascularization. RESULTS: We included 163 patients, 85.9% with successful recanalization. Angioplasty and eCAS were performed in 70% and 19%, respectively. c-ICA reocclusion occurred in 22% at a median of 3.5 (0-41.7) days. c-ICA reocclusion increased the odds of recurrent IS or stroke-related death (adjusted OR (aOR) 2.90, 95% CI 1.07 to 8.30, P=0.036) and was associated with lower rates of independence (aOR 0.18, 95% CI 0.05 to 0.58, P=0.004). Among patients who did not undergo eCAS, c-ICA angioplasty (aHR 0.28, 95% CI 0.09 to 0.86, P=0.026) and residual stenosis (aHR 1.04, 95% CI 1.02 to 1.07, P<0.001) were independent predictors of reocclusion or future revascularization. CONCLUSION: Maintaining c-ICA patency after EVT might be essential due to the association of reocclusion with recurrent IS, stroke-related death, and worse functional outcomes. Residual c-ICA stenosis and angioplasty are valuable predictors of c-ICA patency that can guide management during EVT.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".