Incidence, Risk Factors, and Outcomes of Kidney Transplant Recipients Treated With Both Basiliximab and Antithymocyte Globulin
Bibliographic record
Abstract
Background:Kidney transplant recipients are given induction therapy to rapidly reduce the immune response and prevent rejection. Guidelines recommend that an interleukin-2 receptor antibody (basiliximab) be the first-line agent and that a lymphocyte-depleting agent (antithymocyte globulin [ATG]) be reserved for those at high immunologic risk.Objective:To determine the incidence, risk factors, and outcomes for patients who receive both basiliximab and ATG for induction compared to either agent alone.Design:Retrospective cohort study.Setting:We used the transplant electronic medical record at the University of Alberta Hospital in Edmonton, Canada.Patients/samples/participants:We included incident adult kidney transplant recipients from 2013 to 2018.Measurements:We measured baseline characteristics, type, and dose of induction therapy used, estimated glomerular filtration rate (eGFR) at 1-year posttransplant, and outcomes of all-cause graft failure, death-censored graft failure, all-cause mortality, and death with a functioning graft.Methods:Differences between induction groups were compared using chi-square test for categorical variables and Kruskal-Wallis tests for continuous variables. We performed multivariable logistic regression modeling with type of induction therapy as the dependent variable and the case-level factors as the predictors (adjusted odds ratio). We estimated the Kaplan-Meier failure functions and used log-rank tests to assess statistical significance of differences in unadjusted incidence across induction therapy types. We compared cumulative incidence functions using a Fine and Gray competing risk regression model.Results:In all, 430 kidney transplant recipients were followed for a mean of 3.9 years (standard deviation 1.5). Of these, 71% (n = 305) received basiliximab alone, 22% (n = 93) received ATG alone, and 7% (n = 32) received both basiliximab and ATG. After adjusting for age and sex, compared to the basiliximab alone group, patients were more likely to receive dual-induction therapy if they were sensitized (calculated panel reactive antibody ≥80%), had diabetes mellitus or peripheral vascular disease, or experienced delayed graft function. Compared to the ATG alone group, the dual-induction therapy group had worse graft function at 1 year (mean eGFR 42 vs. 59 mL/min/1.73 m2, P = .0008) and an increased risk of all-cause graft failure (31% vs. 13%, P = .02) and death-censored graft failure (16% vs. 4%, P = .03).Limitations:There is a risk of confounding by indication, as patients who received dual-induction therapy likely had worse outcomes due to the indication for dual-induction therapy (such as delayed graft function).Conclusions:In our study, 1 out of 10 recipients who were treated with basiliximab also received ATG for induction therapy. These patients experienced worse outcomes than those treated with ATG alone.Trial registration:Not applicable (cohort 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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| 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".