Arterial stiffness and SBP variability in children and adolescents
Bibliographic record
Abstract
BACKGROUND: The aim of this study was to explore the impact of ambulatory blood pressure (ABP) parameters on arterial stiffness measured by carotid-femoral pulse wave velocity (cf-PWV) in children and adolescents. METHOD: The study population consisted of 138 consecutive young patients (age range 4-20 years) referred to our hypertension center. Office blood pressure (BP), 24-h ABP monitoring and cf-PWV measurements were performed in all patients. Family history and smoking habits were also recorded. RESULTS: Among the study population, 10.6% had cf-PWV values equal to or higher than the 95th percentile of the study population. cf-PWV was higher in the hypertensive compared to the normotensive patients, classified by ABP levels even after adjustment for age and sex. Significant correlations were found between cf-PWV and age, weight, height, estimated central pulse pressure (PP), office SBP and DBP, and ABP parameters including 24-h SBP and DBP, weighted 24-h SBP variability, 24-h SBP and DBP load, 24-h mean arterial pressure (MAP), daytime and night-time SBP, daytime and night-time SBP variability, but not with office and 24-h heart rate, 24-h heart rate variability, 24-h daytime and night-time PP, DBP variability, ambulatory arterial stiffeness index and BMI z-score. In analysis of covariance, only weighted 24-h SBP variability (β = 0.28, P < 0.05) and daytime SBP variability (β = 0.15, P < 0.05) were the independent determinants of cf-PWV in children and adolescents. CONCLUSION: These data may suggest that increased SBP variability is closely associated with arterial stiffness in children and adolescents.
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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".