Association between routine measures of graft function and mortality in heart transplant recipients
Bibliographic record
Abstract
OBJECTIVE: To date, long-term graft dysfunction, an important cause of death after heart transplantation, has been defined as a left ventricular ejection fraction (LVEF) of ≤40% or right atrial pressure (RAP) of ≥15 mm Hg. Empirical associations between measures of cardiac function and mortality post-transplant remain, however, unestablished. METHODS: We conducted a retrospective two-centre cohort study of consecutive adults who underwent heart transplant between 2002 and 2017. We evaluated the association between LVEF and RAP and mortality, including rejection and cardiac allograft vasculopathy as additional time-dependent covariates using Cox proportional hazard models. We applied restricted cubic splines to both LVEF and RAP. RESULTS: Of 590 eligible heart transplant recipients, of whom 72% were male with a mean age of 49 years, 410 received their transplant at Toronto General Hospital and 180 at Rigshospitalet. We observed a 5% absolute risk increase for 1-year mortality, from 11% to 16%, when the LVEF dropped to 53% (HR 1.71 for LVEF of 53% compared with 60%, 95% CI 1.36 to 2.14) or when the RAP increased to 12 mm Hg (HR 1.49 for RAP of 12 mm Hg compared with 5 mm Hg, 95% CI 1.04 to 2.13). CONCLUSION: In this study, we observed that small changes in graft function at any time post-transplant are associated with an increased mortality. Our results suggest that the current definition of graft dysfunction may underestimate patient risk of adverse outcomes.
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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 | 0.001 | 0.000 |
| 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) | 0.000 | 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".