Renal transplant outcome in high‐cardiovascular risk recipients
Bibliographic record
Abstract
BACKGROUND: Cardiovascular (CV) disease is the foremost cause of mortality and an important cause of morbidity in renal transplant recipients. The disease burden is likely to increase as older patients are accepted for transplantation. The outcome of these high-CV risk patients after renal transplantation, especially with known pre-transplant coronary artery disease (CAD), has not been studied. Hence, we looked at the CV outcome in patients with known pre-transplant CAD. METHODS: All renal transplants performed between 1998 and 2002 at our center, followed up to 2005, were divided into high- and low-risk groups, based on the presence of one or more of the following: pre-transplant angina, myocardial infarction, and positive coronary angiogram. The two groups were compared for post-transplant cardiac events and patient and graft survival. The factors predictive of post-transplant cardiac events were also determined by Cox-regression multivariate analysis. RESULTS: Forty-five patients (10.5%), out of 429, had post-transplant cardiac events; 31.3% in the high risk, and 6.5% in the low-risk group (p = 0.001). Five-yr patient survival was lower in the high-risk group (82.8% vs. 93.1%, p = 0.004), while five-yr overall graft survival and death censored graft survival were statistically not different (74.8% vs. 84.1%, p = 0.08 and 87.3% vs. 90%, p = 0.25). Forty-one percent of patients who were treated with angioplasty plus stenting or bypass graft prior to transplantation had post-transplant cardiac events, as compared with 28% of those without intervention in the high-risk group and 6.5% of patients in the low-risk group (p = 0.001). Age, pre-transplant cardiac disease, arrhythmias, and low-ejection fraction (< or = 40%) were significant independent predictors of post-transplant cardiac events. CONCLUSION: Post-transplant survival of high-CV risk patients (with known CAD) is lower than that of low-risk recipients but remains acceptable. Cardiac interventions may reduce perioperative risk but do not reduce the probability of post-transplant cardiac events to that of low-risk group.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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) | 0.000 | 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".