Surgical Experience With Retroperitoneal Heterotopic Heart Transplantation in the Large White Domestic Swine
Bibliographic record
Abstract
Accelerated coronary atherosclerosis following heart transplantation is the main limiting factor for long-term survival, aside from graft failure and complications due to immunosuppression. Graft coronary vasculopathy is due to chronic rejection of the vascular wall leading to intimal hyperplasia in coronary arteries. Numerous heterotopic heart transplantation models have been used in different species to study the immunology and pathophysiology following graft implantation. This study reports our experience with the retroperitoneal heterotopic heart transplantation in Large White domestic swine using immunological typing. This approach mimics the kinetics of slow low-grade rejection in clinical human heart transplantation. One hundred and fifty-four retroperitoneal (n = 154) heterotopic heart transplantations were performed using Large White swine sampled for the major histocompatibility class (MHC) class I antigen and blood type using the microlymphotoxicity technique. Acute rejection studies were performed by intentional mismatch of the swine lymphocyte alloantigen (SLA) and chronic rejection studies were done in allografts implanted in donor-recipients matched for blood type and class I antigen to assess the effects of rejection per se, hypercholesterolemia, intracoronary L-NAME infusion, and endothelial denudation on the development of graft coronary vasculopathy. Assessment of in vitro coronary arterial vascular reactivity in standard organ chamber experiments comprised the core of vascular biology studies in this large animal model. Eighty (52%) transplanted recipients survived until the elective date of sacrifice at 60 days, 14 (9.1%) died during the surgery, 21 (13.6%) died <24 h after the transplant, and 8 (5.2%) died of late deaths. The retroperitoneal heterotopic heart transplantation model with blood typing and determination of the SLA class I antigen is a useful model for the study of immunological and vascular events due to graft rejection after heart transplantation.
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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 | 0.001 |
| 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 | 0.000 |
| 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".