PS-BPC02-7: RADIAL-DIGITAL PULSE WAVE VELOCITY: STIFFNESS OF SMALL CONDUIT ARTERIES INCREASES AFTER NITROGLYCERIN ADMINISTRATION
Bibliographic record
Abstract
Objective: The alteration of the physiological stiffness gradient within larger vessels would increase the transmission of greater pulsatility to the microcirculation, thus explaining the damage to the pressure-sensitive organs. We aimed to describe the response of small conduit arteries of the hand (radial-digital PWV, rd-PWV) following the pharmacological alteration of the stiffness gradient using nitroglycerin. Design and method: Simultaneous application of piezoelectric sensors (Complior) at the level of the carotid (c), the radial artery (r) and the tip of the index finger (d) was used to calculate the rd-PWV by the following formula (rd-PWV = cd-cr direct distances/cd-cr transit times). Rd-PWV was obtained before and 4 minutes after a sublingual administration of 0.4 mg of NTG, in healthy adults (controls, n = 36) and patients with moderate chronic kidney disease (CKD, n = 30). Changes in arterial stiffness pre-post NTG and comparisons between the two groups were analyzed respectively with paired or independent samples t-tests. Results: Compared to controls, the CKD group was older (69 ± 15 years vs. 41 ± 20 years) and more hypertensive. Despite similar cd-PWV and cr-PWV, rd-PWV was significantly lower in CKD than in controls (3.6 ± 1.4 m/s vs. 4.5 ± 1.8 m/s, p = 0.024), but this difference faded (p = 0.145) after adjustment for age. Post NTG, brachial blood pressure decreased and heart rate increased similarly between groups (see Table 1). Cr-PWV decreased after NTG (both groups p < 0.001) while rd-PWV increased in controls (from 4.62 ± 1.49 m/s to 5.94 ± 2.29 m/s, p < 0.001) and in CKD (from 3.71 ± 1.60 m/s to 5.18 ± 2.12 m/s, p < 0.001), in a similar extent (p = 0.111 for interaction term). Cd-PWV significantly increased post-NTG only in the CKD group (p = 0.009). Conclusions: Again, we observed opposing changes in the regional stiffnesses of two distinct vascular territories following the administration of a vasodilator. Here, the two segments were mid-size and small conduit muscular arteries. This technique, adapted by our team for short peripheral arterial segments, may broaden our 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 | 0.000 |
| 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".