Reduced dose Thymoglobulin<sup>®</sup>, tacrolimus, and mofetil mycophenolate results in excellent solitary pancreas transplantation outcomes
Bibliographic record
Abstract
BACKGROUND: Graft survival following solitary pancreas transplantation has traditionally lagged behind that of simultaneous pancreas-kidney transplants. Thymoglobulin (TMG), a polyclonal rabbit-derived antilymphocyte antibody was originally introduced as treatment for acute rejection of renal allografts. However, data regarding the efficacy of TMG induction in solitary pancreas transplants is lacking. We present the 1-yr graft survival and acute rejection rate of 22 solitary pancreas transplants performed at the McGill University Health Centre using reduced dose TMG induction with lower dose tacrolimus and mophetil mycophenolate. PATIENTS AND METHODS: Eighteen pancreas after kidney and four pancreas transplants alone were performed between January 1998 and October 2000 at McGill University. Induction therapy with TMG at a starting dose of 1.5 mg/kg/d was started 12 h post-operatively. The daily dose of TMG was held if the total leukocyte count was <2,500/mm3 or if the lymphocyte count was <100/mm3. Maintenance therapy was initiated with steroids (tapered to 20 mg prednisone orally once a day) tacrolimus (2 mg twice a day), and mofetil mycophenolate (1 g daily). RESULTS: Patients received three to seven doses of TMG over the first seven post-operative days at a dose of 0.85 +/- 0.27 mg/kg/d (mean +/- SD). The mean follow-up was 1.28 +/- 0.14 yr. The 1-yr patient and graft survival was 100% (22 of 22) and 96% (21 of 22), respectively. The 1 yr acute rejection rate was 27.3% (six of 22). Five of the six rejections responded to steroid boluses. One was refractory to steroids and TMG resulting in graft loss. Presumed rejections were diagnosed on the basis of decreasing urine amylase and/or hyperglycemia. DISCUSSION: Monitoring the total leukocyte and lymphocyte count resulted in a 43% reduction in the amount of TMG used compared with the recommended dosing. Despite the reduced amounts, patient and graft survival were excellent with acute rejection rates comparing favorably to other published series.
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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 | 0.000 | 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) | 0.002 | 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".