Abstract WMP111: Socioeconomic Determinants of Outcome After Childhood Arterial Ischemic Stroke
Bibliographic record
Abstract
Introduction: Lower socioeconomic status (SES) is associated with poorer outcome after adult stroke. In a large cohort of children with arterial ischemic stroke (AIS), we determined 12-month neurological outcome and tested the hypothesis that SES is a determinant of outcome in children. Methods: From 2009-2014, the Vascular Effects of Infection in Pediatric Stroke (VIPS) study enrolled 355 children with AIS (29 days-18 years) at 37 international centers, including 3 in lower and middle income (LAMI) countries. Outcome was assessed at 12 months via the recurrence and recovery questionnaire (RRQ) parental report of the pediatric stroke outcome measure (PSOM). Poor outcome was defined as a PSOM of ≥1. Results: Of 355 children, outcome was available for 310 (87%) at a median of 12 months (IQR 11-13). Ten children died prior to hospital discharge and 4 by 12 months. Outcomes improved from discharge to 12 months (Figure). Of 23 cases in LAMI countries, 88% had an income $100,000). Other markers of SES (maternal education level and rural/suburban/urban residence) also did not predict outcome. Independent predictors of poor outcome included moderate (OR 4.6, 95% CI 2.0, 11) or severe (OR 21, 95% CI 7.1, 60) neurological deficits at discharge (compared to no deficits) and recurrent stroke (OR 3.5, 95% CI 1.5, 8.3). Conclusion: Outcomes after childhood stroke may be worse in LAMI countries, although we were underpowered to study this subgroup. Within non-LAMI countries, SES does not appear to impact outcome in children, unlike reports in adults, perhaps reflecting better access to rehabilitation services in the pediatric population.
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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 | 0.003 |
| 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".