Lower prevalence of aortic dilatation among preemptive pediatric renal transplant recipients – A cross‐sectional cohort study
Bibliographic record
Abstract
BACKGROUND: Aortic dilatation is a cardiovascular complication in pediatric renal transplant recipients and may have an increased risk of aortic dissection, aortic rupture, and death. Studies failed to show an association between blood pressure and aortic dilatation; however, 24-hours ambulatory blood pressure monitoring (ABPM) was not performed. There was also no comparison between preemptive transplantation and dialysis. METHODS: After ethics approval, a retrospective cross-sectional study was performed on all prevalent pediatric renal transplant recipients from a single tertiary care center. The presence of aortic dilatation was determined using standard echocardiographic measurements, and those with other risk factors for aortic dilatation were excluded. Associations between 24-hours ABPM, renal function, dialysis history, and aortic dimensions were determined. RESULTS: We enrolled 37 participants with the following characteristics: 46% female, mean age 14.5 ± 3.7 years, 16% preemptive transplantation, and median end-stage renal disease (ESRD) combined vintage (time from ESRD onset to echocardiogram) 597 days (range 289-1290 days). We found 16/37 patients (43%) with aortic dilatation at any level, mostly mild. There was no association between 24-hours ABPM measurements and aortic dilatation. None of the preemptively transplanted children had aortic dilatation. CONCLUSION: This study confirms a high prevalence of aortic dilatation among pediatric renal transplant recipients, which appears to be independent of hypertension on 24-hour ABPM. Patients with preemptive renal transplantation did not have aortic dilatation, suggesting that the effects of dialysis may contribute to the high prevalence of this complication. Pediatric cardiologists need to carefully assess aortic dimensions in these at-risk patients.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".