Abstract TP409: Cognitive Function in Cerebral Arteriopathy: An Evaluation of the Effects of Blood Pressure and Body Mass Index
Bibliographic record
Abstract
Background: Cerebral arteriopathy (CA) is a major risk factor for childhood arterial ischemic stroke and is associated with significant cognitive impairments. Disease-related characteristics partially explain the variability observed in specific cognitive outcomes. Adult studies demonstrate an association between stroke risk factors such as increased body mass index (BMI) and blood pressure (BP) and cognitive function, suggesting a more diffuse mechanism of brain injury. We aimed to evaluate the association between BMI and BP with cognitive function in children with CA. Methods: We conducted a cross-sectional study in children with CA and no stroke, aged 5-18 years. Children were evaluated using Wechsler Intelligence Scale for Children (WISC), Adaptive Behaviour Assessment System (ABAS), Beery-Buktenica Developmental Test (BEERY) and Behaviour Assessment System for Children (BASC). Children with BMI≥85 th percentile were classified as overweight and those with systolic or diastolic BP≥90 th percentile were classified as prehypertensive/hypertensive (Pre-HTN). Results: Of 88 children with CA, 38 were included (63% female; median age:11.3 years). Pre-HTN and overweight were present in 26% and 29%, respectively. Significant negative correlations were found between BMI and working memory (R 2 =-0.5, p=0.01) and perceptual reasoning (R 2 =-0.4, p=0.04) of the WISC. Beery-perception scores correlated significantly with diastolic BP (R 2 =-0.5, p=0.02) and BMI (R 2 =-0.7, p=0.01). The social composite score of the ABAS correlated significantly with the BMI (R 2 =-0.7, p=0.04). Overweight children had significantly lower BEERY-motor scores (53.5±30.4 vs 84.8±17.8, p=0.03) and higher BASC-externalizing problems (58±11.4 vs 47.9±8.4, p=0.02) compared to children with normal weight. Hypertensive children displayed significantly lower BEERY-visual perception scores (63.5±26.2 vs 92.2±12.5, p=0.01). Conclusion: Increased BMI and BP may contribute to cognitive impairments observed in children with CA. We suggest that a more diffuse mechanism of brain injury is responsible for the specific cognitive impairments associated with increased BMI and BP. Larger controlled studies involving structural and perfusion imaging are needed.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".