A prospective 3‐yr evaluation of tacrolimus‐based immunosuppressive therapy in immunological high risk renal allograft recipients
Bibliographic record
Abstract
BACKGROUND: There have been no published data on use of the the newer immunosuppressants tacrolimus and mycophenolate mofetil (MMF) in high immunological risk renal transplantation. We therefore undertook a prospective study to systematically assess outcomes using these agents as part of an aggressive immunosuppressive regimen. METHODS: Fifty-nine high-risk renal allograft recipients were enrolled at 10 Canadian sites and given a regimen of: a biological induction agent, tacrolimus, MMF, and corticosteroids. Patients included 10 (17%) who had lost a previous graft to rejection <1 yr, 31 (53%) with a current panel reactive antibody (PRA) >30%, 47 (80%) with a historic PRA >50%, four (7%) who had a positive historical T-cell crossmatch with the current donor, and six (10%) with a current positive B-cell crossmatch. The mean peak PRA was 76 +/- 33%. RESULTS: The estimated 3-yr Kaplan-Meier patient and graft survival estimates were 89% and 75%, respectively. There were nine graft losses other than deaths with a functioning graft, of which six were preceded by delayed graft function (p = 0.01, chi2). Sixteen (27%) recipients experienced at least one episode of biopsy-confirmed acute rejection. Infections included cytomegalovirus in 16 patients, eight of whom had tissue-invasive disease. Only one malignancy occurred. CONCLUSIONS: The immunosuppressive strategy investigated is effective and displays a satisfactory safety profile in high immunological risk renal allograft recipients.
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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) | 0.001 | 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".