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http://dx.doi.org/10.1093/ndtplus/sfm022 | DOI Listing |
Kidney Med
January 2025
Division of Nephrology, Florida State University School of Medicine, Tallahassee, FL.
Artificial intelligence (AI) is increasingly used in many medical specialties. However, nephrology has lagged in adopting and incorporating machine learning techniques. Nephrology is well positioned to capitalize on the benefits of AI.
View Article and Find Full Text PDFCan J Kidney Health Dis
January 2025
Multiorgan Transplant Program, Division of Nephrology, Department of Medicine, McGill University Health Centre, Montreal, QC, Canada.
Background: Kidney failure is a prevalent condition with tendency for familial clustering in up to 27% of the affected individuals. Living kidney donor (LKD) transplantation is the optimal treatment option; however, in Canada, more than 45% of LKDs are biologically related to their recipients which subjects recipients to worse graft survival and donors to higher future risk of kidney failure. Although not fully understood, this observation could be partially explained by genetic predisposition to kidney diseases.
View Article and Find Full Text PDFOrphanet J Rare Dis
January 2025
Department of Nephrology and Endocrinology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
Fabry disease is an X-linked lysosomal storage disorder that causes accumulation of glycosphingolipids in body tissues and fluids, leading to progressive organ damage and life-threatening complications. It can affect both males and females and can be classified into classic or later-onset phenotypes. The disease severity in females ranges from asymptomatic to the more severe, classic phenotype.
View Article and Find Full Text PDFIntern Med J
December 2024
Department of Nephrology, The Royal Melbourne Hospital, Melbourne, Victoria, Australia.
Background: Fabry disease is a rare X-linked multisystem disease, with progressive proteinuric kidney disease contributing significantly to morbidity and mortality of these patients. Evidence shows that sodium-glucose cotransporter 2 inhibitors (SGLT2Is) can reduce proteinuria and slow progression to end-stage kidney disease in both diabetic and non-diabetic kidney disease.
Aim: Evaluate the effects of SGLT2I on kidney function and albuminuria in patients with Fabry disease.
J Nephrol
December 2024
The School of Medicine, Manchester Academic Health Sciences Centre, Manchester University, Manchester, UK.
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