Vasomotor changes in controlled and uncontrolled hypertension
Bibliographic record
Abstract
The relationship between arterial stiffness and cardiovascular disease has been implicated in the development of isolated systolic hypertension. This study tested the hypothesis that hypertension is related to altered vascular mechanics and hence altered hemodynamics in skeletal muscle. The ability to detect such changes was tested using a lumped Windkessel model that incorporates several parameters of vascular control including resistance (R), compliance (C), viscoelasticity (K) and inertance (L). Two groups of middle aged hypertensive individuals were tested, one with normal blood pressure (NBP) following treatment (n=10), and the other with uncontrolled BP (UBP) (n=27). Baseline beat‐by‐beat measures of heart rate (ECG), mean arterial BP (Finometer), and forearm blood flow (FBF; Doppler ultrasound) were collected. Systolic BP, pulse pressure and mean arterial pressure were higher in the UBP group (p<0.01). Furthermore, values of C (0.008 for NBP vs. 0.006 mL/mmHg for UBP; p<0.02) and K (0.161 for NBP vs. 0.233 mmHg/mL/min for the UBP group; p=0.1) indicated that indeed the vessel walls in the UBP group were less compliant and offered more viscous resistance to stretch. Values of R were the same in the two groups. These findings suggest that hypertensive individuals with controlled BP are better able to maintain the function of skeletal muscle vasculature for muscle perfusion. Supported by the Heart & Stroke Foundation of Canada and the Canadian Stroke Network.
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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 | 0.001 | 0.002 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".