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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11044668PMC
http://dx.doi.org/10.4103/ijn.ijn_260_23DOI Listing

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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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Fungal peritonitis is an uncommon but serious complication that can occur in patients undergoing peritoneal dialysis. It represents a small percentage of all peritonitis cases in these patients. Its diagnosis can be challenging due to the slow growth of fungi and frequent negative culture results.

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