The association between arterial properties and blood pressure in children
Bibliographic record
Abstract
Elevated blood pressure (BP) in adults is associated with increased arterial stiffness and thickness; however, its effect on arterial health in a pediatric population is less understood. The purpose of this study was to identify the relationship between childhood BP and arterial markers of arteriosclerotic progression. The study consisted of 106 children across a wide range of BP values divided into 2 BP groups: high BP (HBP; ≥ 95th percentile; n = 21) and normal BP (NBP; < 90th percentile; n = 85) based on consistent automated BP measures taken at 2 time points. The laboratory examination involved systemic pulse wave velocity (PWV), common carotid artery (CCA) intima media thickness (IMT) and distensibility, as well as body mass index (BMI) and pubertal maturation. BMI and heart rate, as well as PWV (HBP: n = 15 and NBP: n = 56), were higher in the HBP group (p < 0.001) with no difference between groups for both CCA distensibility and IMT (HBP: n = 21 and NBP: n = 83). Multivariate linear regression revealed that BP group (p = 0.003) was an independent predictor of PWV after controlling for age, sex, BMI, heart rate, and maturation. Our findings demonstrate a higher systemic PWV with no difference in CCA IMT or distensibility in children with elevated BP. Hence, markers of cardiovascular disease risk are augmented in healthy children with elevated BP.
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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 | 0.001 |
| 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".