A new survival prediction model and exploration of hemodialysis quality control indicators in incident hemodialysis patients.

ABSTRACT:

Objective

To develop and internally validate a Cox model predicting 1.5-year adverse outcomes (cardiovascular admission or all-cause mortality) in incident hemodialysis (HD) patients by integrating routinely recorded dialysis-machine parameters with traditional indicators.

Methods

We retrospectively analyzed 74 incident end-stage renal disease (ESRD) patients who commenced thrice-weekly HD at Huashan Hospital, Fudan University, between 2012 and 2018. A total of 83 candidate variables, including demographics, traditional indicators (Kt/V, phosphorus, parathyroid hormone [PTH], albumin, hemoglobin, ultrafiltration volume), and dialysis machine parameters, were evaluated. Univariable and multivariable Cox regression identified predictors of 1.5-year outcomes.

Results

The

SUBMITTER: Chang H 

PROVIDER: S-EPMC12822944 | biostudies-literature | 2026

REPOSITORIES: biostudies-literature