Background: A dialyzed patient weekly gets in touch with a large amount of water (on average 350 liters) through the dialysis bath. It is therefore essential that this solution would have a high quality and purity. The aim of our study was to monitor the microbiological quality of the hemodialysis water in order to identify possible factors that could affect it.
Methods: We conducted a cross-sectional study from January 2015 to October 2017 collecting the dialysis water in AOU Careggi. Samples were aseptically collected by specialized technicians and then transported under ice at 4° C to the Laboratory of Biological Hazards of USL Toscana Centro for laboratory analyses.
Results: 126 water samples were collected. Coliforms, E. coli, Staphylococcus aureus, enterococci were not detected. Pseudomonas aeruginosa was found in only one sample. Both for CFU at 37° C and at 22° C, the type of device represented the only statistically significant risk factor (OR 15.21 and OR 10.25 respectively): SDS devices had a significantly higher risk of being positive for CFU at 37° C and 22° C.
Conclusions: As our study demonstrated, the system producing dialysis water must be constantly monitored, especially in cases of SDS devices which may be subjected more frequently to a higher contamination, due to their discontinuous use.
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Zhonghua Yi Xue Za Zhi
January 2025
Shanghai Key Laboratory of Kidney and Blood Purification, Shanghai Medical Center of Kidney, Shanghai200032, China.
To investigate anticoagulation effects of nafamostat mesylate(NM) in sustained low-efficiency dialysis (SLED) and its relevant factors. Critically ill patients with kidney disease who were admitted to Zhongshan Hospital Affiliated to Fudan University and underwent SLED treatment from May to August 2024 were retrospectively included. Baseline clinical data were collected, and the activated partial thromboplastin time (APTT) and activated clotting time (ACT) were measured at the arterial end, before the filter, and at the venous end two hours post-NM anticoagulation treatment.
View Article and Find Full Text PDFBackground: To explore the symptom clusters of patients undergoing maintenance hemodialysis and construct a symptom network to identify the core symptoms and core symptom clusters, to provide reference for precise symptom management.
Methods: Conveniently selected 354 patients with maintenance hemodialysis were surveyed cross-sectionally using the general information questionnaire, the Dialysis Symptom Index and the Kidney Disease Questionnaire. Symptom clusters were extracted using exploratory factor analysis, and core symptom clusters were identified using hierarchical regression and network analysis.
Aim: Chronic Kidney Disease (CKD) has emerged as a global public health concern. People with the most advanced stage of CKD require renal replacement therapies, either dialysis (the focus of this study) or a kidney transplant. Research on CKD has primarily focused on its clinical, epidemiological, and public health aspects.
View Article and Find Full Text PDFNurs Health Sci
March 2025
College of Nursing, Jeonbuk National University, Jeonju, Republic of Korea.
The aim of this study was to develop and validate a predictive model to enhance self-management and quality of life in patients undergoing hemodialysis, using the Information-Motivation-Behavioral (IMB) skills model. A cross-sectional study design was employed, with data collected from 245 participants selected through convenience sampling from seven hemodialysis centers in the Republic of Korea. Data were gathered using a structured questionnaire and analyzed with descriptive statistics, Pearson's correlation coefficients, and path analysis, utilizing Statistical Package for the Social Sciences 27 and Amos 23.
View Article and Find Full Text PDFBackground: Maintenance hemodialysis (MHD) is an effective treatment for patients with end-stage renal disease. Although MHD can prolong the survival of patients, their quality of life is lower and the fatality rate is higher. This work analyzed the factors related to the autogenous arteriovenous fistula (AVF)-like expansion of non-diabetic MHD patients by vascular ultrasound (VUS).
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!