Incidence, Risk Factors, Clinical Management, and Outcomes of Posttransplant Lymphoproliferative Disorder in Kidney Transplant Recipients
Bibliographic record
Abstract
BACKGROUND: Posttransplant lymphoproliferative disorder (PTLD) is a severe complication after kidney transplantation. This study examined the incidence, risk factors, clinical management, and outcomes of PTLD in a cohort of kidney transplant recipients. DESIGN: This single-center cohort study included 1642 patients transplanted from January 1, 2000, to December 31, 2012, with follow-up until December 31, 2013. The incidence and risk factors for PTLD were examined using a Cox proportional hazards model. A Cox model was also used to assess the association of PTLD and graft outcomes. RESULTS: Sixteen recipients developed PTLD over follow-up. The incidence rate was 0.18 (95% confidence interval [CI]: 0.11-0.29) cases per 100 person-years. Four were from Epstein-Barr virus (EBV) mismatched (D+/R-) transplants and 12 from EBV-positive recipients (R+). Recipients with D+/R- matches were at a significantly higher risk of developing PTLD than R+ (hazard ratio [HR]: 7.52 [95% CI: 2.42-23.32]). Fifteen cases had immunosuppression reduced, 11 cases were supplemented with rituximab or ganciclovir, 6 cases required chemotherapy or radiation, and 6 cases had tumors excised. By the end of follow-up, 6 patients went into remission, 5 returned to chronic dialysis, and 5 patients died. Patients with PTLD were significantly more likely to have total graft failure (return to chronic dialysis, preemptive retransplant, or death with graft function) than patients without PTLD (HR: 3.41 [95% CI: 1.72-6.78). DISCUSSION: Epstein-Barr virus mismatch continues to be a strong risk factor for developing PTLD after kidney transplantation. Recipients with PTLD have a poor prognosis, as the optimal management remains to be elucidated.
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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".