EVOLUTION OF TRANSIT TIME BETWEEN THE SYSTOLIC AND DIASTOLIC PRESSURE PEAKS OF THE RADIAL PULSE WAVEFORM AFTER KIDNEY TRANSPLANTATION
Bibliographic record
Abstract
Objective: The transit time between peak systolic and peak diastolic digital volume pulse had been proposed as a measure of arterial stiffness. Indeed, the height of an individual divided by such transit time can be used to estimate a pulse wave velocity. In a cohort of patients with end-stage kidney disease, we aim to examine whether the reduction of aortic stiffness that occurs after kidney transplantation (KTx), translates into improvement of radial artery systolic-diastolic pulse transit time. Design and method: Before and three months after KTx, we recorded radial pressure waveforms using applanation tonometry in 62 patients. We used a two gaussian method to break down the radial pressure waveforms to extract transit time. Radial waveforms were recorded over a 10 seconds period and ensemble-averaged (using in house-MATLAB program) to obtain a single waveform and then modelled using two Gaussian functions. Transit time (dT) was determined as the difference between the first systolic peak (T1) and the early diastolic peak (T2). Generalized transfer function was used to estimate central blood pressures. Carotid-radial and carotid-femoral pulse wave velocities (cr-PWV, cf-PWV) were also measured. Results: 62 patients (66% male, mean age: 48 ± 14 years, mean eGFR: 66 ± 17 ml/min/1.73m2) were assessed. After KTx, there was a significant reduction in cr-PWV (9.49 ± 1.50 to 8.94 ± 1.34, p = 0.001) and cf-PWV (11.56 ± 2.65 to 10.19 ± 1.72, p < 0.001), as well as in central and peripheral blood pressure (p < 0.001). While T1 significantly declined (0.184 [0.172–0.199] to 0.179 [0.164–0.194]s, p = 0.008), there were no significant changes in transit time (0.139 [0.119–0.165] to 0.134 [0.118–0.178]s, p = 0.390) nor in T2 (0.325 [0.293–0.361] to 0.319 [0.283–0.357]s, p = 0.119). Conclusions: Contrary to our expectation, three months after KTx, we did not observe a significant change in transit time. Our results suggest that transit time between the systolic and diastolic pressure peaks of the radial pulse waveform may not be used as a marker of arterial stiffness. We propose that the radial artery pressure wave integrates information from both upstream and downstream vascular beds and so the transit time cannot be used as a reliable surrogate for arterial stiffness.
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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 | 0.000 |
| 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".