Clinical Correlates and Outcomes of Dual Basiliximab and Antithymocyte Globulin Induction in Kidney Transplant Recipients: A National Study
Bibliographic record
Abstract
Background. The unplanned use of dual induction therapy with interleukin-2 receptor-blocking antibodies (IL2rAb) and antithymocyte globulin (ATG) may portend adverse outcomes. Methods. We used national transplant registry data to study clinical correlates and outcomes of single versus dual induction therapy in adult kidney-only transplant recipients in the United States (2005–2018). The risk of death and graft loss at 1 and 5 y, according to induction therapy type, was assessed using multivariate Cox regression analysis (adjusted hazard ratio with 95% upper and lower confidence limits [ LCL aHR UCL ]). Results. Of the 157 351 recipients included in the study, 67% were treated with ATG alone, 29% were treated with IL2rAb alone, and 5% were treated with both. Compared with IL2rAb alone, the strongest correlates of dual induction included Black race, calculated panel reactive antibody ≥80%, prednisone-sparing maintenance immunosuppression, more recent transplant eras, longer cold ischemia time, and delayed graft function. Compared with ATG alone, dual induction was associated with an increased 5-y risk of death (aHR 1.07 1.15 1.23 ; P < 0.0001), death-censored graft failure (aHR 1.05 1.13 1.22 ; P < 0.05), and all-cause graft failure (aHR 1.06 1.12 1.18 ; P < 0.0001). Conclusions. Further research is needed to develop risk-prediction tools to further inform optimal, individualized induction protocols for kidney transplant 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 | 0.000 | 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".