Work

Prediction model for cognitive impairment in maintenance hemodialysis patients: the role of diabetes

Year: 2025

Type: article

Abstract: Objective: The aim of this study was to identify risk factors for cognitive impairment (CI) in maintenance hemodialysis (MHD) patients and to develop a predictive model. Methods: A total of 151 MHD patients from our hospital were recruited between July 2020 and April 2021. Sociodemographic, clinical, and laboratory data were collected. Cognitive function was assessed using the Mini-Mental State Examination (MMSE), whereas physical performance was evaluated using handgrip strength, the Timed Up and Go Test (TUGT), and 4-m gait speed. Univariate and multivariate logistic regression analyses identified risk factors, which were used to develop original and simplified predictive models. Results: CI was present in 43 patients (28.5%). The simplified model demonstrated discriminatory ability comparable to that of the original model (AUC: 0.737; 95% CI: 0.648-0.818) and was easier to use. A robust nomogram was developed on the basis of the simplified model. Decision curve analysis (DCA) confirmed the clinical utility of both models. Diabetes was identified as an independent risk factor, whereas dialysis duration was not associated with CI. Conclusions: This study provides a simple predictive model for CI in MHD patients, which could aid in clinical decision-making.

Source: Frontiers in Endocrinology

DOI: 10.3389/fendo.2025.1594605

Authors: Jia Xu, Hao Li, Hualin Qi, Xinhui Zhao

Institution: Pudong New Area People's Hospital

Language: English

Topic: Dialysis and Renal Disease Management

Subfield: Nephrology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $3,801