Predicting first-year kidney graft loss at the time of donor offer using machine learning and competing-risk analysis in a Latin American cohort
ABSTRACT Background. Kidney transplantation faces organ shortages, underscoring the need for early risk stratification of graft loss. We developed and validated a 12-month prediction model that treats death as a competing event. Methods. We conducted a retrospective cohort study of 2030 adult kidney transplant recipients (2008–2023) from Colombia’s largest transplant network. Models included a random […]