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VASCULAR AGE IN ADOLESCENTS WITH PRIMARY HYPERTENSION

2022· article· en· W4282930836 on OpenAlexaff
Łukasz Obrycki, Michał Pac, Jędrzej Sarnecki, Mieczysław Litwin

Bibliographic record

VenueJournal of Hypertension · 2022
Typearticle
Languageen
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsChildren's Hospital of Eastern Ontario
Fundersnot available
KeywordsMedicinePulse wave velocityAmbulatory blood pressureCardiologyInternal medicineBlood pressureBody mass indexAmbulatoryPulse pressurePrehypertensionWhite coat hypertensionVascular resistanceUnivariate analysisMultivariate analysis

Abstract

fetched live from OpenAlex

Objective: There is evidence that children with primary hypertension (PH) are more mature than their normotensive peers in terms of bone and the immune system age. The aim of our study was to evaluate vascular age and its relationship with hypertension-mediated organ damage (HMOD) in adolescents with PH. Design and method: We assessed 362 children [90 girls; 15.5 (13.9;16.8) years] referred for work-up of office hypertension and 64 normotensive (NT) subjects [12 girls; 14.5 (13.8;15.6) years] not different in terms of age, body mass (BM) and BMI. We analyzed age- and height-related pulse wave velocity (PWV); the expected vascular age (based on measured PWV) was obtained from pooled pediatric and adult PWV norms and the difference (VascAgeDiff) between the vascular and chronological age was calculated. In all patients we obtained ambulatory blood pressure monitoring (ABPM) and HMOD: left ventricular mass index (LVMi), carotid intima-media thickness (cIMT) and pulse wave analysis (PWA) parameters: stroke volume (SV), cardiac output (CO), aortic BP (AoBP), total peripheral resistance (TPR). Results: Based on office, ABPM and AoBP, patients were classified into white coat hypertension (WCH) - 166 patients, ambulatory prehypertension (AmbPreHT) – 32; spurious hypertension (sHT – isolated systolic hypertension and normal AoBP) – 55; true hypertension (tHT – elevated office, ambulatory and AoBP) – 99. VascAgeDiff progressively increased from NT through sHT, WCH, AmbPreHT to tHT (3.5; 6.2; 7.2; 10.0; 10.7 years; p < 0.01). VascAgeDiff correlated (univariate analysis) significantly with weight, BMI z-score, office systolic (SBP) and diastolic blood pressure (DBP), AoBP, 24-h mean arterial pressure, 24-h DBP, CO, serum uric acid and LDL cholesterol level (p < 0.05). Multivariate regression analysis including above mentioned parameters revealed that significant predictors of VascAgeDiff were: weight, SBP, DBP, AoBP, CO and serum LDL cholesterol (p < 0.05). Conclusions: Out study suggests early vascular aging in adolescents with PH, even at mildly increased BP levels (WCH, prehypertension). Vascular changes were associated with increased weight, DBP, AoBP, CO and LDL cholesterol.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.033
GPT teacher head0.230
Teacher spread0.198 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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