Predicting Mortality in Kidney Transplant Recipients

Accurately predicting kidney recipient risk of death has a crucial interest because of the organ shortage, the need to optimize allograft allocation by identifying high-risk patients who may not benefit from a transplant and improve the clinical decision-making after transplant to ensure that each patient survives as long as possible. However, according to a literature review the investigators performed, studies attempting to develop a kidney recipient death prediction model suffer from many shortcomings, including the lack of key risk factors, use of biased registry data, small sample size, lack of external validation in different countries and subpopulations, and short follow-up. The present study thus aimed to address these limitations and develop a robust, generalizable kidney recipient death prediction model.

NCT Number	NCT06531967
Lead Sponsor	Paris Translational Research Center for Organ Transplantation
Conditions	Death
Enrollment	13,000 participants
Start Date	2004-01-01
Primary Completion	2024-06-01 (estimated)
Study Completion	2024-08-01 (estimated)
Updated on ClinicalTrials.gov	2024-08-01