Abstract TP96: Association Between Infarct Volume, Neighborhood-Level Deprivation, and Outcomes in Pediatric Stroke
Bibliographic record
Abstract
Introduction: Recent studies in adults have reported an association between neighborhood-level deprivation, infarct volume and outcome. However, this is yet to be investigated in pediatric arterial ischemic stroke (AIS). Our study aimed to assess the relationship between neighborhood-level deprivation, infarct volume, and neurological outcome in children diagnosed with AIS. Methods: We conducted a study of a consecutive cohort of children aged > 28 days-18 years and diagnosed with AIS between 2004 and 2019 at a comprehensive stroke center. Patient demographic, clinical characteristics and neighborhood material deprivation data including household income, parental educational attainment, the proportion of single-parent families, and housing quality were collected. Lesion volumes were determined by conducting semi-automatic segmentation of diffusion-weighted MRI brain scans at stroke presentation. Neurological outcome was assessed using the Pediatric Stroke Outcome Measure Severity Classification System wherein poor outcome was defined as moderate-to-severe deficit at 18 months post-stroke. Wilcoxon rank sum test was conducted. Results: Seventy-two patients were included in the study (62% male, median age of stroke onset 6.1 years [IQR 1.0-12.7]). 39% of patients were White, 72% lived in an urban region, and 64% in highly deprived neighborhoods. 70% of patients arrived within 6 hours from onset of stroke. Cardiac disease and other risk factors including infection and head trauma represented the most common risk factor. 55% presented with moderate stroke severity (as per the PedNIHSS). Median lesion volume was 14 cm 3 (IQR 2-51) and a mean infarct volume of 3% was reported. Race, rurality, and neighborhood-level material deprivation were not significantly associated with either percent infarct volume or neurological outcome; however, percent infarct volume was significantly associated with neurological outcome at 18 months post-stroke (W = 79, p = 0.025). Conclusion: Our study findings confirm the relationship between infarct volume and pediatric AIS outcomes. Future multi-center studies are warranted to further understand the interplay between material deprivation, infarct volume, and post-AIS neurological outcomes in children.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.003 | 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".