Abstract 19: Clinical and Neuroimaging Profile of Children With Arterial Ischemic Stroke Due to Cerebral Arteriopathy - Results From the International Pediatric Stroke Study (IPSS)
Bibliographic record
Abstract
Introduction: Cerebral arteriopathies are frequently identified in children with arterial ischemic stroke (AIS), and are distinguished by high stroke recurrence. However, the clinical and neuroimaging profiles of AIS due to cerebral arteriopathy versus non- arteriopathy have not been compared. Hypothesis: We hypothesized that children with AIS due to arteriopathy would differ in their demographic, clinical, and radiographic presentation from those without arteriopathy. Methods: We report a large, prospective, multicentre cohort of children, 1 month - 17 years, with AIS, enrolled in the International Pediatric Stroke Study, 2003-2014. Those with arteriopathy including focal cerebral arteriopathy, dissection, moyamoya, vasculitis and non-specific arteriopathies, were compared to those with non-arteriopathic stroke etiologies. Results: Of 2127 children with AIS, 725(34%) had arteriopathy (58% male, mean age 8.1years). The remaining 1402(66%) had non-arteriopathic AIS. Arteriopathy was associated with older age, but not a specific gender or ethnicity. Geographic differences were observed. Children with arteriopathy were likely to present with hemiparesis, dysarthria, ataxia, headache, preceding/concurrent thromboembolic events and without seizures. Risk factors associated with arteriopathy included sickle anemia, head/neck trauma and lack of acute systemic disease. Radiological associations with arteriopathy included right sided unilateral or bilateral stroke, multiple infarcts and relative reduction in occurrence of intracranial hemorrhage. On multivariate analysis, headache (p=0.006), additional thromboembolic events (p=0.007), multiple infarcts (p=0.002) and lack of seizures (p=0.001) were independently associated with arteriopathy. Conclusions: Specific clinical profiles are associated with arteriopathy in children with AIS and may guide the clinician in early diagnostic evaluations and management.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".