RADIAL-DIGITAL PULSE WAVE VELOCITY: RESPONSE OF SMALL ARTERIES TO A MODIFICATION OF ARTERIAL STIFFNESS GRADIENT INDUCED BY NITROGLYCERIN
Bibliographic record
Abstract
Objective: We previously demonstrated that it is possible to modulate the arterial stiffness gradient with the administration of nitroglycerin (NTG). This alteration of the physiological stiffness gradient would increase the transmission of greater pulsatility to the microcirculation, thus explaining the damage to the pressure-sensitive organs. We aimed to describe small conducting arteries response following the pharmacological alteration of the stiffness gradient using regional stiffness of the hand (radial-digital PWV, rd-PWV). Design and method: The simultaneous application of piezoelectric sensors (Complior) at the level of the carotid ®, the radial artery ®, and the tip of the index finger (d) was used to calculate the rd-PWV by the following formula (rd-PWV = cd-cr distances/cd-cr transit time). Rd-PWV was obtained before and 4 minutes after a sublingual administration of 0.4 mg of NTG, in healthy adults (controls, n = 23) and patients with moderate chronic kidney disease (CKD, n = 18). Changes in arterial stiffness pre-post NTG and comparisons between the two groups were analyzed using generalized estimating equations. Results: Pre NTG, despite similar cr-PWV, rd-PWV in CKD seemed lower than controls (3.7 ± 1.6 m/s vs. 4.6 ± 1.5 m/s, p = 0.067). This difference between the two groups faded (p = 0.865) after adjusting for age, where the standardized coefficient B of age = -0.407 (p = 0.037). Post NTG, cr-PWV decreased in both groups (p < 0.001) while rd-PWV increased similarly (no interaction, p = 0.111)), between controls (from 4.62 ± 1.49 m/s to 5.94 ± 2.29m /s, p < 0.001) and CKD (from 3.71 ± 1.60 m/s to 5.18 ± 2.12m/s, p < 0.001). There was no difference in changes of brachial pressures between the two groups. Conclusions: Again, we observed opposite changes in arterial stiffness in two different arterial territories following the administration of NTG. In contrast with cr-PWV, regional stiffness of the hand increase after NTG administration. Rd-PWV is a new approach for the measurement of the regional stiffness of small arteries that could open the way to a better hemodynamic understanding of the consequences of the inversion of the stiffness gradient.
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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) | 0.001 | 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".