Introduction: Patients with end-stage renal disease (ESRD) are known to have reduced structural and functional brain connectivity in the brain regions associated with cognitive function. However, the effect of dialysis on brain connectivity remains unclear. This study aimed to evaluate the effects of dialysis on structural brain connectivity in patients with ESRD.
Methods: This prospective study included 20 patients with ESRD in the pre-dialysis stage and 35 healthy controls. The patients underwent T2-weighted and three-dimensional T1-weighted magnetic resonance imaging before and 3 months after dialysis initiation. Moreover, the cortical thickness was calculated. We applied graph theoretical analysis to calculate the structural covariance network based on cortical thickness. We compared the cortical thickness and structural covariance network of patients with ESRD in the pre-dialysis stage with those of healthy controls and with those of patients with ESRD in the post-dialysis stage.
Results: The mean cortical thickness in both hemispheres was lower in patients with ESRD in the pre-dialysis stage than in healthy controls (2.296 vs. 2.354, p = 0.030; 2.282 vs. 2.362, p = 0.004, respectively) and was higher in patients with ESRD in the post-dialysis stage than in those in the pre-dialysis stage (2.333 vs. 2.296, p = 0.001; 2.322 vs. 2.282, p = 0.002, respectively). Analysis of the structural covariance network revealed that the assortative coefficient was lower in patients with ESRD in the pre-dialysis stage than in healthy controls (-0.062 vs. -0.031, p = 0.029) and was higher in patients with ESRD in the post-dialysis stage than in those in the pre-dialysis stage (-0.002 vs. -0.062, p = 0.042).
Conclusion: We observed differences in the cortical thickness and structural covariance networks before and after dialysis in patients with ESRD. This indicates that dialysis affects structural brain connectivity, contributing to the understanding of the pathophysiological mechanism of cognitive function alterations resulting from dialysis in patients with ESRD.
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http://dx.doi.org/10.1159/000541239 | DOI Listing |
Medicine (Baltimore)
January 2025
Department of Nephrology, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, Sichuan, China.
This study investigated the impact of nursing interventions based on the Integrated Theory of Health Behavior Change on hemodialysis patients. A retrospective analysis of 713 hemodialysis patients' electronic medical records from June 2020 to November 2023 was conducted. Patients were divided into an experimental group, receiving nursing interventions based on the theory, and a control group, receiving regular nursing care.
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February 2025
RTI International, Research Triangle Park, NC.
Background: There is a lack of consensus on the effectiveness of audio-based care to manage chronic conditions. This knowledge gap has implications for health policy decisions and for health equity, as underserved populations are more likely to access care by telephone.
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Nucl Med Commun
January 2025
Division of Cardiology, Onishi Hospital, Fujioka, Japan.
Objective: Patients with chronic kidney disease (CKD) have an increased risk of adverse cardio-cerebrovascular events. The purpose of this study is to evaluate the prognostic predictors over 5 years in patients with CKD including haemodialysis.
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J Hypertens
December 2024
Division of Nephrology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine.
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Clin Kidney J
September 2024
Department of Internal Medicine I, University Hospital Aachen, RWTH Aachen University, Aachen, Germany.
Background: Proenkephalin A 119-159 (penKid) is a novel blood biomarker for real-time assessment of kidney function and was found to be independently associated with worsening kidney function and mortality. A novel penKid-based estimated glomerular filtration rate equation (eGFR), outperforms current creatinine-based eGFR equations in predicting iohexol or iothalamate plasma clearance-based measured GFR. In this study, we aimed to evaluate the predictive value of penKid and eGFR for all-cause mortality in stable patients at high cardiovascular risk.
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