Factors Associated With Progression of Interstitial Fibrosis in Renal Transplant Patients Receiving Tacrolimus and Mycophenolate Mofetil
Bibliographic record
Abstract
BACKGROUND: We recently reported a randomized study in renal transplant patients (RTP) receiving tacrolimus, mycophenolate mofetil, and prednisone in which patients who had early protocol biopsies (PBx) derived no benefit compared with controls (no PBx) at 6 months, likely due to the low prevalence of subclinical rejection. We report on the follow-up of these patients to 24 months at which time a repeat PBx and tests of renal function were performed. METHODS: Of the 240 RTP randomized, 22 were excluded for a protocol violation. Approximately 75% of the remaining 218 (111 PBx and 107 controls) completed the study. RESULTS: At 24 months, graft function was excellent with a mean creatinine clearance of approximately 74 mL/min and negligible proteinuria; however, the prevalence of interstitial fibrosis and tubular atrophy (IF/TA)-ci + ct more than or equal to 2-increased from approximately 3% at baseline to up to 40% to 50%. By logistic regression analysis, the only independent positive correlate of IF/TA was transplantation with a deceased donor. However, by post hoc analysis, use of angiotensin-II-converting enzyme inhibitors or angiotensin II receptor blockers was negatively correlated with both the prevalence of IF/TA at 24 months and its progression between 6 and 24 months in RTP that had paired biopsies. CONCLUSIONS: A regimen of tacrolimus, mycophenolate mofetil, and prednisone results in excellent renal function at 24 months posttransplant but with a progressive increase in IF/TA. A potential inhibitory effect of angiotensin-II-converting enzyme inhibitor/angiotensin II receptor blockers on IF/TA is suggested that requires confirmation in a randomized study.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".