Modeling Forearm Vascular Mechanics in Hypertension
Bibliographic record
Abstract
An emerging hypothesis states that vascular disease is initiated within the microvasculature. Using a modified Windkessel model, lumped mechanical properties of the forearm vascular bed were examined to determine the effect of chronic hypertension on the blood supply to skeletal muscle. Systemic pulse pressure (PP; Finometer), brachial artery radius (BAR; Ultrasound), vascular bed compliance (C), and resistance (R) were measured in (I), Hypertensive (HT) patients with controlled blood pressure (CBP) and high glucose (HG)(n=8), (II) HT patients with CBP and normal glucose (NG)(n=10), (III) HT patients with uncontrolled blood pressure (UBP) and HG (n=18), (IV) HT patients with UBP and NG (n=16), and (V) age‐matched, healthy controls (n=27). R was decreased and BAR was increased in UBP groups with HG levels compared to all other groups (p<0.05). PP was found to vary across groups, but was unrelated to C. These findings support a model of systolic HT which is consistent with the PP results. UBP with high glucose appears to initiate hypertrophic remodelling leading to reduced vascular R. However, from a vascular mechanics perspective, hypertension, with or without high glucose, does not modify microvascular compliance in skeletal muscle. Supported by Canadian Institutes of Health Research, NSERC, and the Canadian Diabetes Association.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".