P7.3 IMPACT OF KIDNEY TRANSPLANTATION ON AORTIC STIFFNESS: RESULTS FROM 2-YEAR FOLLOW-UP
Bibliographic record
Abstract
Objectives: Kidney transplantation (KTx) may improve arterial stiffness.The purpose of the present study is to examine the effects of KTx on aortic stiffness after 2 years of follow-up.Method: In this prospective, longitudinal observational study, we studied hemodynamic 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) and heart rate adjusted central augmentation index (AIx) was measured by arterial tonometry.A successful KTx was defined by an estimated eGFR of !45 mL/min/1.73m2.Linear mixed model was used to take into account the repeated measures of aortic stiffness and mean blood pressure.Values are reported as meanAESEM Results: The mean age was 48 years, with 70% male, 20% with cardiovascular disease and 25% diabetes.After adjusting for mean blood pressure, cf-PWV decreased significantly from 11.2AE0.33 to 10.3AE0.30by 3 months (PZ0.042),but cf-PWV gradually increased to 10.8AE0.31 and 11.2AE0.33(m/s) by 6 and 24 months and was not statistically different from the baseline.In an analysis stratified by age, the early improvement of aortic stiffness was only statistically significant for patients older than 50 years of age.However, MBP-adjusted AIx did not change significantly after KTx.Conclusion: This study shows that there is an early reduction in aortic stiffness after KTx with a gradual return in aortic stiffness to baseline values after 2 years of follow-up.This study suggests a reduction in the rate of progression of aortic stiffness after KTx.P7.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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) | 0.000 | 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 teacher head, 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".