Mortality and Graft Failure With Medical Management Alone Versus Revascularization After Coronary Angiography Among Kidney Transplant Recipients: A Population-Based Study
Bibliographic record
Abstract
Background: There are limited data on the outcomes following medical management alone versus revascularization (percutaneous coronary intervention [PCI] or coronary artery bypass grafting [CABG]) after coronary angiography in kidney transplant recipients. Objective: The objective was to compare survival and graft loss in kidney transplant recipients treated with medical therapy alone versus coronary revascularization following coronary angiography. Design: We conducted a retrospective, population-based cohort study using linked health care databases. Setting: This study was conducted in Alberta, Canada. Patients: We included adult, kidney-only transplant recipients between January 1997 and March 2015 who survived at least 1-year post-transplant with a functioning graft and had a coronary angiography during follow-up. Measurements: The outcomes were all-cause mortality, death-censored graft failure, death with a functioning graft, and all-cause graft failure. Methods: We ascertained baseline characteristics, covariate information, and outcome data from the Alberta Kidney Disease Network (AKDN) and Alberta Provincial Project for Outcome Assessment in Coronary Heart Disease (APPROACH) databases. We used Cox proportional hazards models to compare mortality and graft loss between recipients treated with medical management versus revascularization (PCI or CABG) following angiography. Results: We identified 142 kidney transplant recipients who received a coronary angiography: 69 (49%) were treated with medical management, and 73 (51%) were treated with revascularization (PCI n = 52, CABG n = 21). The median age was 60 years (interquartile range [IQR] 50-66), 76% were male, the median baseline estimated glomerular filtration rate (eGFR) was 54 mL/min/1.73 m 2 (IQR 41-69), and the median follow-up was 5 years (IQR 2-8). Compared to medical management, recipients treated with revascularization did not have statistically higher risk of all-cause mortality (55% vs 62%; 80 vs 102 events/1000 person-years; adjusted hazard ratio [aHR] 1.32, 95% CI 0.86-2.02; P = .21). There was no significant difference in death-censored graft failure between the two treatment groups (20% vs 22%; 33 vs 40 events/1000 person-years; aHR 1.22, 95% CI 0.58-2.58; P = .60). Limitations: The clinical indications for medical management alone versus revascularization might influence the choice of these interventions. Due to the smaller sample size, we could not present the outcomes by PCI versus CABG. We also did not have complete data on blood pressure, body mass index, or medication usage which might have influenced our outcomes. Conclusions: In kidney transplant recipients undergoing coronary angiography, the rate of mortality was more than double that of graft failure, regardless of post-angiography management of coronary artery disease. The high overall risk for both groups requires further exploration in larger cohorts with longer follow-up.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".