A Prediction Model for Risk of Death in Kidney Transplant Recipients

What is the accuracy of a novel model for predicting death among kidney transplant recipients?In this prognostic study that included 12 517 kidney recipients and 121 candidate risk factors, 14 prognostic factors were independently associated with death and were combined into a risk prediction model, which exhibited accurate calibration and discrimination. Performance was confirmed in external validation cohorts from France, Europe, the US, and clinical data warehouses.The risk prediction model developed in this study is the first model based on a deeply phenotyped cohort, demonstrated high prediction performances, and was validated in multiple subpopulations, clinical scenarios, centers, and countries.

Corresponding Author: Charlotte Debiais-Deschamps, MD, Paris Institute for Transplantation and Organ Regeneration, Institut National de la Santé et de la Recherche Médicale U970, Université Paris Cité, 56 rue Leblanc, 75015, Paris, France (charlottedebiais@gmail.com).

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