Abstract 17009: Clinical Characteristics and In-hospital Outcomes of Cardiac Transplant Recipients With Allograft Vasculopathy Undergoing Percutaneous Coronary Intervention: Insights from the National Cardiovascular Data Registry
Bibliographic record
Abstract
Introduction: Cardiac Allograft Vasculopathy (CAV) is a major limiting factor for long-term survival among cardiac transplant recipients. Large-scale data pertaining to the clinical characteristics and in-hospital outcomes in such patients undergoing Percutaneous Coronary Intervention (PCI) is lacking. Methods: We analyzed 1,897,328 patients from the NCDR CathPCI registry™ who underwent PCI of at least 1 native vessel between July 2009-December 2013 from 1477 centers, of which 542 patients (0.03%) had previous cardiac transplantation. After 4:1 propensity matching, clinical characteristics and in-hospital outcomes were compared between 538 cardiac transplant recipients and 2128 non-transplant patients. Results: Cardiac transplant recipients were more likely to have prior PCI, dyslipidemia, Canadian class 3/4 angina and were less likely to be smokers or present with ST segment-elevation myocardial infarction (0.9% vs. 7.1%, p<0.01) compared to the general population. Transplant recipients had fewer type C lesions (36% vs. 41% p=0.02) and were more likely to receive drug-eluting stents (DES: 81% vs. 76% p<0.01). In-hospital mortality, composite of death/MI/stroke, and bleeding complications were not significantly different between propensity-matched groups. (Table) Conclusions: Our large database analysis demonstrate that despite some differences in clinical characteristics, in-hospital outcomes among cardiac transplant recipients undergoing PCI for focal lesions associated with CAV were similar to the general population. Use of DES was higher in this group.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".