Age-related and blood pressure-independent reduction in aortic stiffness after kidney transplantation
Bibliographic record
Abstract
OBJECTIVES: Aortic stiffness is a novel cardiovascular risk factor in patients with chronic kidney disease (CKD). The purpose of the present study is to examine whether there is a blood pressure-independent improvement in aortic stiffness 3 months after successful kidney transplantation (KTx), and whether this improvement is age-dependent. METHOD: In this prospective, longitudinal observational study, we studied hemodynamic and biological parameters prior to and 3 months after a KTx in 52 stage 5 CKD patients. Aortic stiffness was measured by carotido-femoral pulse wave velocity (c-f PWV) and enhanced central wave reflection was evaluated by the heart rate-adjusted central augmentation index (AIx) by means of arterial tonometry. Endothelin-1, L-arginine, asymmetric dimethylarginine (biomarkers of endothelial dysfunction), pentosidine (advanced glycation end-products) and mineral metabolism parameters were also measured. RESULTS: After adjusting for the reduction in mean blood pressure, c-f PWV decreased significantly from 12.1 ± 3.3 to 11.6 ± 2.3 m/s (P < 0.05). In an analysis stratified by age, this improvement was only present in patients older than 50 years of age as compared with patients younger than 50 years of age (-5.5 ± 2.2 vs. 2.1 ± 1.9%, P < 0.05). AIx decreased from 22 ± 11 to 14 ± 13% (P < 0.01), but this reduction was not age-dependent. We also observed a similar degree of improvement in the biomarker levels of endothelial dysfunction and pentosidine in both groups. CONCLUSION: This study shows for the first time that there is an age-dependent improvement in aortic stiffness after KTx. These observations suggest that older patients may have an added cardiovascular risk reduction after a successful KTx.
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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 | 0.002 |
| 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 | 0.001 |
| 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".