Distinct Phenotypes of Non-Citizen Kidney Transplant Recipients in the United States by Machine Learning Consensus Clustering.
Charat ThongprayoonPradeep VaitlaCaroline C JadlowiecNapat LeeaphornShennen A MaoMichael A MaoFahad QureshiWisit KaewputFawad QureshiSupawit TangpanithandeePajaree KrisanapanPattharawin PattharanitimaPrakrati C AcharyaPitchaphon NissaisorakarnMatthew CooperWisit CheungpasitpornPublished in: Medicines (Basel, Switzerland) (2023)
= 0.63), compared to cluster 1; Conclusions: Machine learning clustering approach successfully identified two clusters among non-U.S. citizen kidney transplant recipients with distinct phenotypes that were associated with different outcomes, including allograft loss and patient survival. These findings underscore the need for individualized care for non-U.S. citizen kidney transplant recipients.