is a ubiquitous yeast that may cause serious peritoneal dialysis (PD) infections. A 70-year-old man receiving continuous ambulatory peritoneal dialysis (CAPD) for 6 months presented with a PD infection caused by The patient was treated with intravenous liposomal amphotericin B. His peritoneal catheter was simultaneously removed and reinserted. To date, only 10 cases of CAPD infections have been reported. Catheters, corticoids, cancer, and previous antibiotic therapy were the main risk factors for these infections. For most patients, the peritoneal catheter was removed, leading to a definitive transfer to hemodialysis. Along with flucytosine, amphotericin B is the main antifungal that is used. Both have a lower minimal inhibitory concentration (MIC), whereas fluconazole and caspofungin have the highest MICs. We highlighted the efficacy of liposomal amphotericin B associated with simultaneous withdrawal and reinsertion of a peritoneal catheter in a case of peritonitis in a CAPD patient. Further studies are needed to evaluate the treatment of this condition.

Introduction: Smartphone applications (apps) have been designed that help patients to accurately count their carbohydrate intake in order to optimize prandial insulin dose matching. Our aim was to evaluate the accuracy of two carbohydrate (carb) counting apps. Methods: Medical students, in the role of mock patients, evaluated meals using two smartphone apps: Foodvisor Ò (which uses automatic food photo recognition technology) and Glucicheck Ò (which requires the manual entry of carbohydrates with the help of a photo gallery). The macronutrient quantifications obtained with these two apps were compared to a reference quantification. Results: The carbohydrate content of the entire meal was underestimated with Foodvisor Ò (Foodvisor Ò quantification minus gold standard quantification = -7.2 ± 17.3 g; p \ 0.05) but reasonably accurately estimated with Glucicheck Ò (Glucicheck Ò quantification minus gold standard quantification = 1.4 ± 13.4 g; ns). The percentage of meals with an absolute error in carbohydrate quantification above 20 g was greater for Foodvisor Ò compared to Glucicheck Ò (30% vs 14%; p \ 0.01). Conclusion:The carb counting accuracy was slightly better when using Glucicheck Ò compared to Foodvisor Ò . However, both apps provided a lower mean absolute carb counting error than that usually made by T1D patients in everyday life, suggesting that such apps may be a useful adjunct for estimating carbohydrate content.