Abstract WP15: Intravenous Thrombolysis in Cervical Artery Dissection-Related Stroke: A Nationwide Study
Bibliographic record
Abstract
Introduction: The safety and efficacy of intravenous thrombolysis (IVT) in cervical artery dissection-related acute ischemic stroke (CeAD-AIS) remains unclear. We performed a retrospective study of data from the National Inpatient Sample investigating outcomes in CeAD-AIS patients treated with and without IVT. Methods: We included adult patients with CeAD-AIS hospitalized between 2016 to 2019. CeAD-AIS was defined by concurrent CeAD and AIS diagnoses, identified with ICD-10 codes. The primary outcome was home discharge. The safety outcomes were inpatient death and intracerebral hemorrhage (ICH). We used survey-weighted multivariable adjusted logistic regressions comparing the groups (IVT versus no IVT), followed by interaction analyses to examine for effect modifications based on age, medical history, stroke severity, and endovascular treatment. Results: Between 2016-2019, 1,360 (12.1%) of 11,285 CeAD-AIS patients received IVT. Patients treated with IVT- had higher NIH Stroke Scale (NIHSS) scores (median 8 [4-17] versus 3 [1-11]; p < 0.001). In adjusted analyses, treatment with IVT was associated with a greater odds of home discharge (adjusted odds ratio [aOR] 1.49; 95% confidence interval [CI] 1.09-2.05, p = 0.014), but not ICH (aOR 0.90, 95% CI 0.43-1.86, p = 0.773) or inpatient death (aOR 1.22, 95% CI 0.72-2.06, p = 0.454). In interaction analyses, stroke severity significantly interacted with IVT ( p for interaction = 0.001), where IVT was significantly associated with increased likelihood of home discharge in patients with moderate to severe strokes (NIHSS > 4) (aOR 2.28, 95% CI 1.59-3.26, p < 0.001) but not in those with mild stroke (NIHSS 0-4) (aOR 1.03 95% CI 0.62-1.70, p = 0.922). Conclusion: IVT improved the likelihood of home discharge in patients with CeAD-AIS without increasing the risk of inpatient death or ICH.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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 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".