2026

Abstract Background Early hospital readmissions (EHR) within 30 days after kidney transplantation are common and add clinical and financial burden. Early identification of high-risk recipients can guide post-discharge care. We aimed to develop a machine learning model to predict 30-day hospital readmission in adult kidney transplant recipients. Methods We conducted a retrospective cohort study of […]

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

Introducción El trasplante de órganos es vital para mejorar la calidad de vida de los pacientes con insuficiencia orgánica, pero la escasez de donantes es un desafío global. En Colombia, la demanda supera la oferta, lo cual aumenta la mortalidad de aquellos pacientes en las listas de espera. Objetivo Analizar las causas de rechazo de

Observational studies in kidney transplantation often face confounding bias due to the absence of randomization, which can compromise validity and limit generalizability. Propensity score matching (PSM) helps mitigate this bias by mimicking random assignment. This guide outlines the implementation of PSM in kidney transplant research, focusing on methodology, practical considerations, common pitfalls, and reporting standards.