Approaching the Therapeutic Window for Cyclosporine in Kidney Transplantation
Bibliographic record
Abstract
Neoral dosing is traditionally based on cyclosporine (CyA) trough levels (C(0)). Four-h area under the curve (AUC(0-4)) for Neoral in the early posttransplantation period was shown previously to have a better correlation to acute rejection (AR) and CyA nephrotoxicity (CyANT), compared with C(0). An AUC(0-4) range of 4400 to 5500 microg/h per L during the first week was associated with the lowest AR and CyANT. This article describes a prospective study to assess the feasibility, safety, and efficacy of dosing Neoral solely by AUC(0-4) monitoring, regardless of C(0), in the first 3 mo after kidney transplantation. Fifty-nine kidney transplant recipients received Neoral-based triple immunosuppression. AUC(0-4) was measured on days 3, 5, 7, 10, and 14 and weeks 3, 4, 6, and 8, then monthly. Target AUC(0-4) was 4400 to 5500 microg/h per L. Dose was adjusted by percentage difference from target AUC(0-4). Ninety-four percent of AUC were performed on the scheduled day or close to it. No patients had CyANT while AUC(0-4) was in target range. Four patients had reversible CyANT with AUC(0-4) > 5500. Only 1 of 33 patients (3%) who achieved and maintained AUC(0-4) > 4400 by day 3 posttransplantation had AR, whereas 10 of 22 (45%) of those with day 3 to 5 AUC(0-4) < 4400 had AR (P: = 0.0002). In logistic regression analysis, higher early AUC(0-4) was the only significant variable associated with lower serum creatinine at 3 mo. Neoral dose monitoring by AUC(0-4) is a potentially valuable tool for optimizing Neoral immunosuppression. Attainment of a target range of 4400 to 5500 microg/h per L for AUC(0-4) early after transplantation has been demonstrated to reduce significantly the risk of AR and CyANT.
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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 | 0.000 | 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".