Official websites use. Share sensitive information only on official, secure websites. The use, distribution or reproduction in other forums is permitted, provided the original author s and the copyright owner s are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. A predictive model to estimate post-donation glomerular filtration rate eGFR and risk of CKD at 1-year was developed from a Toulouse-Rangueil cohort in and showed an excellent correlation to the observed 1-year post-donation eGFR.
We retrospectively analyzed all living donor kidney transplants performed at a single center from to The model was successfully validated in our cohort, a different European population.
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It represents a simple and accurate tool to assist in evaluating potential donors. Keywords: external validation, predictive model, living donor renal function, kidney transplantation, chronic kidney disease.
Living donor kidney transplant is the best treatment for ESRD patients eligible for transplant 1 , 2. Living donation increases organ availability, decreases time on the waiting list, allows pre-emptive transplantation, and improves graft and patient survival 1 β 3. Despite being the only surgical indication that grants no direct medical benefit to a healthy patient, a living nephrectomy is considered a safe procedure for the donor 5 β 7.
Long-term follow-up data, however, have shown that donors are at an increased risk of CKD and, rarely, ESRD compared to healthy non-donors 6 β 9 As such, these patients would be subjected to the cardiovascular and global morbidity and mortality of CKD Moreover, the scarcity of good-quality studies on their long-term follow-up must be acknowledged 6 , 7. Current Clinical practice guidelines on the evaluation and care of living kidney donors from Kidney Disease Improving Global Outcomes KDIGO recommend a comprehensive approach to risk assessment that should replace decisions based on assessments of single risk factors evaluation 4.
