Predicting Mortality in Kidney Transplant Recipients
NCT06531967 · Status: ENROLLING_BY_INVITATION · Type: OBSERVATIONAL · Enrollment: 13000
Last updated 2024-08-01
Summary
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.
Conditions
- Death
Interventions
- OTHER
-
No intervention
No intervention
Sponsors & Collaborators
-
Paris Translational Research Center for Organ Transplantation
lead OTHER
Principal Investigators
-
Alexandre Loupy · Paris Institute for Transplantation and Organ Regeneration (PITOR)
Eligibility
- Min Age
- 18 Years
- Max Age
- 100 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2004-01-01
- Primary Completion
- 2024-06-01
- Completion
- 2024-08-01
Countries
- United States
- Belgium
- France
- Netherlands
Study Locations
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