PULSE WAVE VELOCITY BETWEEN HEART AND FEMORAL ARTERY BUT NOT CAROTID AUGMENTATION INDEX CORRELATES WITH LEFT VENTRICULAR MASS ONCE BLOOD PRESSURE HAS BEEN NORMALIZED: PP.31.250
Bibliographic record
Abstract
Background: Arterial stiffness can be assessed by Augmentation Index (AI) (difference between the first and second peaks of carotid pulse contour) or Pulse Wave Velocity (PWV). The objective of this study was to compare and determine whether AI measured from carotid pulse wave contour or PWV correlates with left ventricular mass in persons with hypertension on treatment with blood pressure less than 140/90 mmHg or in normotensive individuals. Methods: Patients without valvular heart disease had measurement of carotid pulse wave contour and pulse wave velocity in three different vascular segments. Left ventricular mass was calculated from the 2 D echocardiogram using ASE standards. Results: Twenty-nine persons age 63.8+2.4 yr (mean+SEM) with BP of 132+3/77+2 mmHg of whom 86.2% had hypertension on treatment with angiotensin converting enzyme inhibitor or angiotensin receptor blockers (44.8%), diuretics (37.9%), beta blockers (31%) and/or calcium channel blockers (24.1%). Left ventricular mass adjusted for body surface area (LV mass index) was 87.8+15.5 g/m2 for men (18/29) and 87.3 + 15.5 g/m2 for women (11/29). There was a significant (p = 0.018) linear correlation (r = 0.497) between LV mass index and pulse wave velocity between heart and femoral artery. There was no significant relationship between LV mass and PWV in the heart to carotid artery or femoral artery to ankle arterial segments. There was absolutely no relationship between Augmentation index and LV mass (r = 0.0001, p = 0.93). Conclusion: In hypertensive patients whose blood pressures were less than 140/90 mmHg as well as normotensive subjects, arterial stiffness as assessed by pulse wave velocity in the heart to femoral segment is an indicator of left ventricular mass. In contrast Augmentation Index determined from carotid pulse contour was of no value as an indicator of LV mass.
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".