Established risk prediction models for the incidence of a low lean tissue index in patients with peritoneal dialysis.

ABSTRACT:

Objective

The objective of this study is to investigate the incidence of low lean tissue index (LTI) and the risk factors for low LTI in peritoneal dialysis (PD) patients, including to establish risk prediction models.

Methods

A total of 104 PD patients were enrolled from October 2019 to 2021. LTI was measured by bioimpedance spectroscopy. Multivariate logistic regression and machine learning were used to analyze the risk factors for low LTI in PD patients. Kaplan-Meier analysis was used to analyze the survival rate of patients with low LTI.

Results

The interleukin-6 (IL-6) level, red cell distribution width (RDW), overhydration, body mass index (BMI), and the subjective global assessment (SGA) rating significantly differed between the low LTI and normal LTI groups (a

SUBMITTER: Li F 

PROVIDER: S-EPMC9448374 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature