Prognostic value of ultrafiltration rate variability in maintenance hemodialysis patients: a prospective cohort study

This single-center prospective cohort study establishes ultrafiltration rate variability (quantified by coefficient of variation, UFRCV) as an independent predictor of all-cause and cardiovascular mortality in maintenance hemodialysis patients. While absolute ultrafiltration rate thresholds represent established risk factors, dynamic fluid removal fluctuations remain prognostically uncharacterized. We longitudinally monitored ultrafiltration rate patterns during a 90-day observation period in 202 hemodialysis patients (median follow-up: 38.7 months). Stratification by median UFRCV (0.187) revealed significantly reduced survival among patients with elevated variability. This association demonstrated particular clinical significance in elderly individuals (> 60 years), those with recurrent intradialytic hypotension, and subjects exhibiting elevated predialysis systolic blood pressure variability. Notably, UFRCV exhibited stronger mortality prediction in patients with lower mean ultrafiltration volumes (< 2469 mL), indicating that current static ultrafiltration rate targets inadequately reflect dynamic hemodynamic vulnerability. These findings underscore the imperative to integrate ultrafiltration rate variability metrics into personalized volume management frameworks-a parameter currently absent from dialysis adequacy guidelines. Collectively, UFRCV assessment emerges as a critical indicator of subclinical hemodynamic compromise, providing pivotal insights for refining hemodynamic risk stratification in maintenance hemodialysis populations.

Authors

Institutions

Publication Details

Journal
MedScience
Published
2025-12-01
DOI
https://doi.org/10.1007/s11684-025-1168-9
Primary Topic
Dialysis and Renal Disease Management
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prognostic value of ultrafiltration rate variability in maintenance hemodialysis patients: a prospective cohort study

Xiaohong Chen, Yanru Wang, Wuhua Jiang, Bo Shen et al.
MedScience
Dialysis and Renal Disease Management
article

Prognostic value of ultrafiltration rate variability in maintenance hemodialysis patients: a prospective cohort study

Xiaohong Chen, Yanru Wang, Wuhua Jiang, Bo Shen, Jinbo Yu, Yuxin Nie, Jianzhou Zou, Xiaoqiang Ding, Yang Li
article en

Abstract

This single-center prospective cohort study establishes ultrafiltration rate variability (quantified by coefficient of variation, UFRCV) as an independent predictor of all-cause and cardiovascular mortality in maintenance hemodialysis patients. While absolute ultrafiltration rate thresholds represent established risk factors, dynamic fluid removal fluctuations remain prognostically uncharacterized. We longitudinally monitored ultrafiltration rate patterns during a 90-day observation period in 202 hemodialysis patients (median follow-up: 38.7 months). Stratification by median UFRCV (0.187) revealed significantly reduced survival among patients with elevated variability. This association demonstrated particular clinical significance in elderly individuals (> 60 years), those with recurrent intradialytic hypotension, and subjects exhibiting elevated predialysis systolic blood pressure variability. Notably, UFRCV exhibited stronger mortality prediction in patients with lower mean ultrafiltration volumes (< 2469 mL), indicating that current static ultrafiltration rate targets inadequately reflect dynamic hemodynamic vulnerability. These findings underscore the imperative to integrate ultrafiltration rate variability metrics into personalized volume management frameworks-a parameter currently absent from dialysis adequacy guidelines. Collectively, UFRCV assessment emerges as a critical indicator of subclinical hemodynamic compromise, providing pivotal insights for refining hemodynamic risk stratification in maintenance hemodialysis populations.

MedScienceVol. 19(6)
Shanghai Medical College of Fudan University (CN), Shanghai Blood Center (CN), Zhongshan Hospital (CN), Shanghai Institute of Hematology (CN), Shanghai Dianji University (CN)
National Natural Science Foundation of China, Fudan University, Shanghai Clinical Research Center
Good health and well-being
Openalex Percentile: Top 31%
Dialysis and Renal Disease Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.