Development and validation of a predictive model for cognitive impairment in patients undergoing maintenance hemodialysis: A retrospective, cross-sectional study

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Authors: Zhicheng Chen, Ke Zhou, Xiong Tan, Yijun Chen, Hui Zhang, Yujuan Huang
Cited by: 0
References: 25

Abstract

Cognitive impairment is a common and clinically relevant complication among patients undergoing maintenance hemodialysis. We developed and internally validated a simple risk score based on routinely available clinical and laboratory parameters to identify prevalent cognitive impairment in this population. In a retrospective, cross-sectional study of 260 stable adult patients from 2 dialysis centers, cognitive impairment was defined by a Montreal Cognitive Assessment score < 26. Multivariable logistic regression identified 6 independent predictors: older age, lower educational attainment, history of cerebrovascular disease, higher serum uric acid, lower serum calcium, and lower serum sodium. The model showed strong discrimination (area under the receiver operating characteristic curve 0.86; 95% confidence interval 0.81-0.90) and acceptable calibration (Hosmer-Lemeshow P = .48). We derived a simplified 0-20 point score that stratified risk from 8.5% in the low-risk group to 89.1% in the high-risk group (P for trend < .001). Higher scores were concurrently associated with greater interdialytic weight gain, poorer phosphorus control, increased falls, and longer hospital stays (all P < .001), indicating broader vulnerability beyond cognition alone. This pragmatic 6-item score may help clinicians flag patients who warrant targeted cognitive monitoring and multidisciplinary support in busy dialysis settings. External validation across diverse cohorts is needed before clinical implementation.

Fields of Study & Subjects

Dialysis and Renal Disease Management Dementia and Cognitive Impairment Research Cancer-related cognitive impairment studies

Publication details

Journal / source
Medicine
Volume
105
Issue
3
Pages
e45594–e45594
Publication date
16 January 2026
Language
EN