External validation of the 2-year mortality prediction tool in hemodialysis patients developed using a Bayesian network.

ABSTRACT:

Background

In recent years, a number of predictive models have appeared to predict the risk of medium-term mortality in hemodialysis patients, but only one, limited to patients aged over 70 years, has undergone sufficiently powerful external validation. Recently, using a national learning database and an innovative approach based on Bayesian networks and 14 carefully selected predictors, we have developed a clinical prediction tool to predict all-cause mortality at 2 years in all incident hemodialysis patients. In order to generalize the results of this tool and propose its use in routine clinical practice, we carried out an external validation using an independent external validation database.

Methods

A regional, multicenter, observational, retrospective cohort study was co

SUBMITTER: Granal M 

PROVIDER: S-EPMC11195611 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature