PP.20.28
Bibliographic record
Abstract
Objective: We have previously shown that there is a blood pressure independent reduction in aortic stiffness as early as 3 months after successful a kidney transplantation (KTx). The purpose of the present study is to examine the effects of KTx on changes in aortic stiffness after 2 years of follow-up. Design and method: In this prospective, longitudinal observational study, we studied hemodynamic and biological parameters prior to KTx and 3, 6 and 24 months after a KTx in 59 dialysis patients. Aortic stiffness was measured by carotid-femoral pulse wave velocity (cf-PWV). A successful kidney transplant was defined by an estimated eGFR of 45 or more mL/min/1.732 at the time of the measurement of aortic stiffness. A GEE model was used to take into account the repeated measures of aortic stiffness and mean blood pressure. Values are reported as mean ± SEM unless otherwise specified. Results: The mean age was 48 ± 14 years, with 70% male, 20% with cardiovascular disease and 25% diabetes. After adjusting for mean blood pressure, cf-PWV decreased significantly from 11.2 ± 0.33 to 10.3 ± 0.30 by 3 months (P = 0.042), but it increased to 10.8 ± 0.31 and 11.2 ± 0.33 (m/s) by 6 and 24 months (P = NS versus preKTx). The rate of progression of aortic stiffness beyond 3 months was 0.248 m/s/year.Conclusions: After an initial improvement of aortic stiffness, there is a progression of aortic stiffness that is numerically lower than what has been previously been reported in dialysis population.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.684 | 0.651 |
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".