A machine-learning method for predicting the 1-year risk of death in maintenance hemodialysis patients based on continuous compliance with dialysis quality indicators.

ABSTRACT:

Objective

To establish a 1-year mortality risk prediction model for maintenance hemodialysis (HD) patients using machine learning method based on the continuous assessment methods of dialysis quality indicators.

Methods

A single-center, retrospective cohort study. A total of 240 patients who received HD treatment at the JinLing Hospital in January 2015 were screened, and dialysis quality was assessed more than three times a year. The follow-up period ends in October 2022, and the endpoint is all-cause death. The indicator time-to-standard ratio and indicator fluctuation value were used as the evaluation methods for the continuous achievement of nine dialysis quality indicators.Dialysis quality indicators include interdialytic weight gain、pre-dialysis systolic blood pressure、

SUBMITTER: Dong J 

PROVIDER: S-EPMC12522486 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature