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Background: Availability of assisted PD (asPD) increases access to dialysis at home, particularly for the increasing numbers of older and frail people with advanced kidney disease. Although asPD has been widely used in some European countries for many years, it remains unavailable or poorly utilized in others. A group of leading European nephrologists have therefore formed a group to drive increased availability of asPD in Europe and in their own countries.
Methods: Members of the group filled in a proforma with the following headings: personal experience, country experience, who are the assistants, funding of asPD, barriers to growth, what is needed to grow and their top three priorities.
Results: Only 5 of the 13 countries surveyed provided publicly funded reimbursement for asPD. The use of asPD depends on overall attitudes to PD, with all respondents mentioning the need for nephrology team education and/or patient education and involvement in dialysis modality decision making.
Conclusions And Call To Action: Many people with advanced kidney disease would prefer to have their dialysis at home, yet if the frail patient chooses PD most healthcare systems cannot provide their choice. AsPD should be available in all countries in Europe and in all renal centres. The top priorities to make this happen are education of renal healthcare teams about the advantages of PD, education of and discussion with patients and their families as they approach the need for dialysis, and engagement with policymakers and healthcare providers to develop and support assistance for PD.
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http://dx.doi.org/10.1093/ndt/gfac193 | DOI Listing |
Endocr J
September 2025
Institute of Liberal Arts and Science, Kanazawa University, Kanazawa, Japan.
GPT-4o, a general-purpose large language model, has a Retrieval-Augmented Variant (GPT-4o-RAG) that can assist in dietary counseling. However, research on its application in this field remains lacking. To bridge this gap, we used the Japanese National Examination for Registered Dietitians as a standardized benchmark for evaluation.
View Article and Find Full Text PDFJ Clin Endocrinol Metab
September 2025
AURA (Association pour l'Utilisation du Rein Artificiel dans la région parisienne), F-75014 Paris, France.
Purpose: Obesity is an independent risk factor for chronic kidney disease, and accurate estimation of the glomerular filtration rate (GFR) is crucial. However, limited data are available on the performance of the European Kidney Function Consortium (EKFC) equation in individuals with overweight or obesity. We evaluated the performance of the EKFC equation by comparing its estimated GFR (eGFR) to values obtained from the 2021 Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation and machine learning (ML) models, using measured GFR (mGFR, obtained via plasma iohexol clearance) as a reference standard in a cohort of patients with overweight or obesity.
View Article and Find Full Text PDFJMIR Aging
September 2025
Division of Community Health, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer- Sheva, Israel.
Background: Frailty is a common issue among hospitalized older adult patients and is associated with numerous adverse health outcomes. Assessing frailty facilitates better decision-making for treatment plans, patient placement, and discharge planning. Approximately a decade ago, the frailty index based on laboratory tests (FI-Lab) metric was introduced.
View Article and Find Full Text PDFComput Med Imaging Graph
August 2025
Academy for Engineering and Technology, Fudan University, Shanghai, 200433, People's Republic of China; Department of Radiology, Huashan Hospital, Fudan University, Shanghai, 200040, People's Republic of China; Shanghai Engineering Research Center of Intelligent Imaging for Critical Brain Diseases,
Recent advancements in artificial intelligence have significantly enhanced the efficiency of abdominal MRI segmentation, thereby improving the screening and diagnosis of liver diseases. However, accurate precise liver segmentation in MRI remains a challenging task due to the high variability in liver morphology and the limited availability of high-quality annotated datasets. To address these challenges, this study presents an advanced semi-supervised learning framework that integrates cross-teaching with pseudo-label generation and intra-batch entropy minimization.
View Article and Find Full Text PDFMed Image Anal
August 2025
The Chinese University of Hong Kong, 999077, Hong Kong Special Administrative Region of China. Electronic address:
Recently, Multimodal Large Language Models (MLLMs) have demonstrated their immense potential in computer-aided diagnosis and decision-making. In the context of robotic-assisted surgery, MLLMs can serve as effective tools for surgical training and guidance. However, there is still a deficiency of MLLMs specialized for surgical scene understanding in endoscopic procedures.
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