Unknown

Dataset Information

Development and validation of a risk-based nomogram for predicting peritoneal dialysis catheter dysfunction in end-stage renal disease patients.


ABSTRACT:

Background

Peritoneal dialysis catheter (PDC) dysfunction significantly impacts patient survival. While individual risk factors are known, a practical tool that integrates multi-dimensional predictors-including surgical, anatomical, and postoperative parameters-for early risk stratification is lacking. This study evaluates open versus laparoscopic catheterization techniques and aims to develop such a predictive model.

Methods

A retrospective cohort study analyzed 462 end-stage renal disease patients undergoing first PDC implantation (2022-2024). Data included clinical characteristics, surgical method (open/laparoscopic), and dysfunction events. Multivariate COX regression identified independent risk factors, and a nomogram was developed. Model performance was assessed via RO

SUBMITTER: Zhao B 

PROVIDER: S-EPMC12799703 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature