Identifying Risk Factors for Graft Failure due to Chronic Rejection < 15 Years Post-Transplant in Pediatric Kidney...

Area of Science:

• Nephrology
• Transplantation immunology
• Data science in medicine

Background:

• Chronic rejection is the primary cause of late graft loss in pediatric kidney transplant recipients.
• Despite advances, long-term graft survival remains a challenge due to chronic rejection.

Purpose of the Study:

• To identify novel risk factors for graft failure due to chronic rejection in pediatric kidney transplants.
• To develop a predictive model for chronic rejection using machine learning techniques.

Main Methods:

• Utilized data from the national Standard Transplant Analysis and Research (STAR) file (1987-2023).
• Employed machine learning techniques, evaluating six classification models.
• Developed a predictive model based on the Random Forest algorithm (AUC 0.81).

Main Results:

• Identified 19 pre-transplant and at-transplant risk factors for graft failure.
• Key factors include living donor type, cold ischemic time, human leukocyte antigen (HLA) matching, and recipient age (<5 years).
• Proximity of serum crossmatch tests to transplantation may indicate recipient sensitization and socioeconomic factors.

Conclusions:

• Identified key factors contributing to chronic rejection-caused graft failure 15 years post-transplant in pediatric kidney recipients.
• Developed a Random Forest predictive model for chronic rejection risk.
• Further research is necessary to fully understand variables associated with pediatric chronic kidney rejection.