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Background: Water retention, ultrafiltration insufficiency, and metabolic complications due to abnormally high glucose concentrations are still common problems in patients treated with peritoneal dialysis. Phloretin, a nonselective inhibitor of facilitative glucose transporter channels (GLUT), has shown to improve water transport and lower glucose absorption in experimental peritoneal dialysis. However, the dose-response relationship remains unknown, and we therefore performed a dose-response study to elucidate the pharmacodynamic properties of intra-peritoneal phloretin therapy.

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Exit-site infections (ESIs) of peritoneal dialysis catheters can cause serious complications if not promptly treated. Uncommon pathogens like are infrequently associated with these infections. We report a 26-year-old woman with end-stage renal disease due to Alport syndrome, presenting with recurrent purulent discharge and erythema at the Tenckhoff catheter exit site.

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Managing diabetes in patients on peritoneal dialysis (PD) is challenging due to the combined effects of dietary glucose, glucose from dialysate, and other medical complications. Advances in technology that enable continuous biological data collection are transforming traditional management approaches. This review explores how multi-omics technologies and artificial intelligence (AI) are enhancing glucose management in this patient population.

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Background Dry weight management in dialysis patients is crucial but often subjective, primarily based on symptoms. Due to continuous fluid removal in peritoneal dialysis (PD) and intermittent ultrafiltration in hemodialysis (HD), symptom-based assessments may be biased, leading to varying results. Surprisingly, no direct comparison of dry weight changes between PD and HD has been conducted.

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