Emerging evidence for accelerated ageing and cardiovascular disease in individuals with cerebral palsy
Bibliographic record
Abstract
OBJECTIVE: To examine longitudinal changes in traditional and non-traditional risk factors for cardiovascular disease in individuals with cerebral palsy and to investigate relationships between age, Gross Motor Function Classification System (GMFCS) and risk of cardiovascular disease. METHODS: Individuals with cerebral palsy (n = 28 of 53 eligible participants; GMFCS levels I-V; follow-up mean age 35.1 years (standard deviation (SD) 14.4) participated in a longitudinal cohort study with 4.0 years (SD 1.2) follow-up. Traditional risk factors included waist circumference and systolic blood pressure. Non-traditional risk factors included carotid artery intima media thickness and distensibility, carotid-femoral pulse wave velocity, and flow-mediated dilation. RESULTS: Absolute (0.31 mm (SD 0.13) vs 0.22 mm (SD 0.08) , p = 0.045, 95% confidence interval (95% CI) 0.040, 0.151) and relative flow-mediated dilation (9.9 % (SD 4.7) vs 7.5 % (SD 2.6), p = 0.049, 95% CI 0.464, 4.42) decreased, while carotid artery intima media thickness (0.52 mm (SD 0.17) vs 0.67 mm (SD 0.33), p = 0.041, 95% CI -0.242, -0.074) increased from baseline to follow-up. No other risk factor changed significantly. Age at baseline was a significant independent predictor of carotid artery intima media thickness change (R-squared = 0.261, p = 0.031). CONCLUSION: Individuals with cerebral palsy experience significant changes in non-traditional risk factors for cardiovascular disease over 4 years, in the face of no changes in traditional risk factors. Compared with findings in the literature from the general population, these risk factors progress at a faster rate and at a younger age in individuals with cerebral palsy.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".