Aortic Diameter, Wall Stiffness, and Wave Reflection in Systolic Hypertension
Bibliographic record
Abstract
Systolic hypertension is associated with increased pulse pressure (PP) and increased risk for adverse cardiovascular outcomes. However the pathogenesis of increased PP remains controversial. One hypothesis suggests that aortic dilatation, wall stiffening and increased pulse wave velocity result from elastin fragmentation, leading to a premature reflected pressure wave that contributes to elevated PP. An alternative hypothesis suggests that increased proximal aortic stiffness and reduced aortic diameter leads to mismatch between pressure and flow, giving rise to an increased forward pressure wave and increased PP. To evaluate these two hypotheses, we measured pulsatile hemodynamics and proximal aortic diameter directly using tonometry, ultrasound imaging, and Doppler in 167 individuals with systolic hypertension. Antihypertensive medications were withdrawn for at least 1 week before study. Patients with PP above the median (75 mm Hg) had lower aortic diameter (2.94+/-0.36 versus 3.13+/-0.28 cm, P<0.001) and higher aortic wall stiffness (elastance-wall stiffness product: 16.1+/-0.7 versus 15.7+/-0.7 ln[dyne/cm], P<0.001) with no difference in augmentation index (19.9+/-10.4 versus 17.5+/-10.0%, P=0.12). Aortic diameter and wall stiffness both increased with advancing age (P<0.001). However, an inverse relation between PP and aortic diameter remained significant (P<0.001) in models that adjusted for age, sex, height, and weight and then further adjusted for aortic wall stiffness, augmentation index, and mean arterial pressure. Among individuals with systolic hypertension, increased PP is primarily attributable to increased wall stiffness and reduced aortic diameter rather than premature wave reflection.
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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 | 0.000 | 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 | 0.001 |
| 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".