A Prediction Model for Risk of Death in Kidney Transplant Recipients
Charlotte Debiais-Deschamps·Alexandre Loupy·Agathe Truchot·Yannis Lombardi·Gillian Divard·Vivek A. Rudrapatna·Soufian Meziyerh·Jesper Kers·Danny van der Helm·Aiko P. J. de Vries·Juliette Gueguen·Arnaud Del Bello·Elisabet Van Loon·Antoine Bouquegneau·Christophe Legendre·Xavier Jouven·Adam Mussell·Brian McCauley·Sabrina Emms·Shristi Mapchan·Caroline C. Jadlowiec·Raymond L. Heilman·Devika Das·Nassim Kamar·Dany Anglicheau·Kevin J. Fowler·Maarten Naesens·Carmen Lefaucheur·Olivier Aubert·Peter P Reese·Marc Raynaud
In this study, an accurate prediction model for mortality among kidney recipients, computable at the time of transplant, was developed and externally validated. Results suggest that this model may help stratify patient risk of death, allowing for improved medical decisions.