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Background: Kidney failure is a major health issue globally, particularly in Ghana and other low- and middle-income countries. Nurses are centrally involved in the direct care and technical operations of managing individuals with kidney failure, and they have first-hand exposure to the complexities of kidney failure management, including haemodialysis within resource-constrained settings.

Objective: This study explored the experiences of nurses who provide care to individuals with kidney failure receiving haemodialysis in Ghana.

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Simulation of fluid flow with Cuprophan and AN69ST membranes in the dialyzer during hemodialysis.

Biomed Phys Eng Express

January 2025

Ingeniería y Tecnología, Universidad Nacional Autonoma de Mexico Facultad de Estudios Superiores Cuautitlan, Av. 1o de Mayo S/N, Santa María las Torres, Campo Uno, 54740 Cuautitlán Izcalli, Edo. de Méx., Cuautitlan Izcalli, Estado de México, 54740, MEXICO.

Hemodialysis is a crucial procedure for removing toxins and waste from the body when kidneys fail to perform this function effectively. This study addresses the need to improve the efficiency and biocompatibility of membranes used in dialyzers. We simulate fluid flow through two types of membranes, Cuprophan (cellulosic) and AN69ST (synthetic), to understand the complex mechanisms involved and quantify key variables such as pressure, concentration, and flow.

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Background: Hemodialysis may excessively remove valuable solutes. Untargeted metabolomics data from a prior study suggested that ergothioneine was depleted in the plasma of hemodialysis subjects. Ergothioneine is a dietary-derived solute with antioxidant properties.

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Objective: This study evaluated the diagnostic value of plasma Neutrophil extracellular traps (NETs) levels and the index of cardiac electrophysiological balance (iCEB) in identifying silent myocardial ischemia (SMI) in maintenance hemodialysis (MHD) patients.

Methods: This cross-sectional observational study involved patients receiving MHD treatment. Data were collected on coronary angiography performed in our hospital from February 2023 to February 2024.

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Objective: This study aims to develop a risk assessment model for predicting haemodialysis access dysfunction and to construct a nomogram.

Method: The clinical data of patients with haemodialysis access dysfunction treated at our hospital from October 2020 to January 2024 were retrospectively analysed. The least absolute shrinkage and selection operator regression method was used to filter variables and select predictors, while Cox regression was applied to filter variables and construct a nomogram.

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