CKD-M2 study: 2-year mortality prediction tool for advanced kidney disease.

ABSTRACT:

Background

A few models have been developed in recent years to predict all-cause mortality in patients with chronic kidney disease (CKD). However, many have been developed using inappropriate methods and have not been externally validated. This study aims to improve our previously validated tool for predicting 2-year all-cause mortality in stage 4-5 CKD patients by enlarging the training dataset, thereby enhancing its robustness, which is further supported by a second external validation.

Method

The Bayesian network-based 2-year all-cause mortality prediction tool was trained on a comprehensive national dataset, which was further enriched by incorporating data from a previous external validation. Internal performance was assessed using 10-fold cross-validation, while externa

SUBMITTER: Tran DNT 

PROVIDER: S-EPMC12849615 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature