Predicting kidney graft function and failure among kidney transplant recipients.

ABSTRACT:

Background

Graft loss is a major health concern for kidney transplant (KTx) recipients. It is of clinical interest to develop a prognostic model for both graft function, quantified by estimated glomerular filtration rate (eGFR), and the risk of graft failure. Additionally, the model should be dynamic in the sense that it adapts to accumulating longitudinal information, including time-varying at-risk population, predictor-outcome association, and clinical history. Finally, the model should also properly account for the competing risk by death with a functioning graft. A model with the features above is not yet available in the literature and is the focus of this research.

Methods

We built and internally validated a prediction model on 3,893 patients from the Wisconsin Allogra

SUBMITTER: Yao Y 

PROVIDER: S-EPMC11687162 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature