Symptomatic Neonatal Arterial Ischemic Stroke: The International Pediatric Stroke Study
Bibliographic record
Abstract
BACKGROUND: Neonatal arterial ischemic stroke (AIS) has emerged as a leading cause of perinatal brain injury, cerebral palsy, and lifelong disability. The pathogenesis is poorly understood, which limits the development of treatment and prevention strategies. Multicenter studies must define epidemiology, risk factors, treatment practices, and outcomes to advance clinical trials and improve the adverse outcomes suffered by most survivors. METHODS: The International Pediatric Stroke Study is a global research initiative of 149 coinvestigators (30 centers in 10 countries). Patients with clinical and neuroimaging confirmation of symptomatic neonatal AIS were enrolled (2003-2007). Standardized, Web-based data entry collected clinical presentations, risk factors, investigations, treatments, and early outcomes. We examined predictors of infarct characteristics and discharge outcome by using multivariate logistic regression. RESULTS: Two hundred forty-eight neonates were studied (57% male, 10% premature). Most of them presented with seizure (72%) and nonfocal neurologic signs (63%). MRI was completed for 92% of the infants, although <50% had vascular imaging. Infarcts preferentially involved the anterior circulation and left hemisphere and were multifocal in 30%. Maternal health and pregnancies were usually normal. Neonates often required resuscitation (30%) and had systemic illnesses (23%). Cardiac and prothrombotic abnormalities were identified in <20% of the infants. Antithrombotic treatment was uncommon (21%) and varied internationally. Half (49%) of the infants had deficits at discharge, and data on their long-term outcomes are pending. CONCLUSIONS: Newborns with AIS are often systemically sick, whereas their mothers are usually healthy. Definitive causes for most neonatal AISs have not been established, and large-scale case-control studies are required to understand pathogenesis if outcomes are to be improved.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".