Thymoglobulin Versus Basiliximab Induction Therapy for Simultaneous Kidney-Pancreas Transplantation: Impact on Rejection, Graft Function, and Long-Term Outcome
Bibliographic record
Abstract
BACKGROUND: Thymoglobulin (ATG) and basiliximab induction therapies are used by the majority of centers for pancreas transplantation today. Although both strategies have different mechanisms, there is a paucity of studies comparing them. We compared the efficacy and side effects of both methods in simultaneous pancreas-kidney (SPK) transplantation. METHODS: We analyzed 128 SPKs at our institution between January 2001 and August 2008. Forty-nine patients received basiliximab (40 mg), whereas 79 patients had ATG (5 mg/kg). Graft function, complications, rejection, and survival rates were analyzed. RESULTS: ATG versus basiliximab therapy was associated with decreased 3-month (6% vs. 21%; P=0.01) and 1-year (14% vs. 27%; P=0.049) rejection rate. Steroid-resistant rejections were decreased with ATG (3%) vs. basiliximab (14%) (P=0.01). In a univariate regression analysis, basiliximab induction was a risk factor for rejection (HR, 7.1; CI, 3.8-13). No differences were observed regarding complications and graft function up to 5 years. ATG versus basiliximab therapy resulted in identical 1-year (90% vs. 93%), 3-year (87% vs. 89%), and 5-year (78% vs. 83%) pancreas survival (P=0.7). No difference was observed in kidney survival after 1 year (99% vs. 98%), 3 years (97% vs. 98%), and 5 years (95% vs. 95%) (P=0.4). CONCLUSIONS: ATG versus basiliximab induction therapy results in decreased acute cellular rejection in the first year after SPK with similar side effects. Long-term graft function and survival are not affected by induction regimen.
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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".