Predictors and prognostic significance of the volume load trajectory: a longitudinal study in patients on peritoneal dialysis.

ABSTRACT: Volume overload in peritoneal dialysis patients is a common issue that can lead to poor prognosis. We employed a group trajectory model to categorize volume load trajectories and examined the factors associated with each trajectory class to explore the impact of different trajectory groups on clinical prognosis and residual renal function (RRF). This single-center prospective cohort study included 214 patients on maintenance peritoneal dialysis within a tertiary hospital. The ratio of extracellular water to total body water was measured using Bioimpedance analysis. The SAS 9.4 PROC Traj procedure was used to examine the group-based trajectory of the patients. A multivariate logistic regression model was used to calculate the adjusted odds ratios (aOR) of the associated factors to predict t

SUBMITTER: Dan L 

PROVIDER: S-EPMC11418055 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature