Evolution of the Arterial Structure and Function From Infancy to Adolescence Is related to Anthropometric and Blood Pressure Changes
Bibliographic record
Abstract
OBJECTIVE: To develop a normative data set and to study the relationship among arterial structure, different anthropometric measures, blood pressure, and arterial function during healthy childhood using very-high-resolution ultrasound (25-55 MHz). METHODS AND RESULTS: In 135 healthy children between 0 and 18 years of age, we assessed the structure of the carotid arteries, larger peripheral arteries, aorta, and left ventricle with ultrasound. Arterial stiffness was assessed by pulse wave velocity and endothelial function by brachial flow-mediated dilation. Reference curves adjusted for age and body surface area of arterial lumen diameters, intima-media thickness, and adventitia thickness were developed. Arterial walls thicken during childhood predominantly as a result of a progressive increase in intima-media thickness. There were significant associations among lumen diameter (R(2) range, 0.20-0.88 for different arteries; P<0.001), intima-media thickness (R(2) range, 0.47-0.85; P<0.001), left ventricular mass (R(2)=0.90; P<0.001), and adventitia thickness (R(2) range, 0.15-0.22; P<0.001) with sex, age, body surface, and systolic blood pressure. Arterial wall stress was associated with lumen diameter (R(2) range, 0.52-0.83; P<0.001) and intima-media thickness (R(2) range, 0.53-0.88; P<0.001). Limited relationships were found among arterial wall layer thickness, stiffness, and endothelial function. CONCLUSIONS: In healthy children, the evolution of the arterial structure is mainly related to anthropometrics and blood pressure.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 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".