Abstract Background and Aims. Peritoneal dialysis (PD) is accompanied by a multitude of factors that influence glycemic variability, and HbA1c does not detect dynamic glucose changes. In this study we wanted to assess glycemic variability, using a 72-hour continuous glucose monitoring system (CGMS), in 31 patients stratified according to the presence of type 2 diabetes and PD. Materials and Methods. The study included 31 patients (11 type 2 diabetic PD patients, 9 non diabetic PD patients and 11 type 2 diabetic patients without PD). Glycemic variability was assessed on CGM readings by: Mean Amplitude of Glycemic Excursion (MAGE), Mean of Daily Differences (MODD), Fractal Dimensions (FD), Mean Interstitial Glucose (MIG), Area Under glycemia Curve (AUC), M100, % time with glucose >180/<70 mg/dl. Results. The PD diabetic patients presented AUC, MIG and inter-day glycemic variability (MODD) significantly higher than diabetic patients without PD. In PD patients, the type of dialysis fluid in the nocturnal exchange and peritoneal membrane status did not significantly influence glycemic variability. Conclusions. CGMS is more useful than HbA1c in quantifying the metabolic imbalance of PD patients. PD induces inter-day glycemic variability and poor glycemic control, thus being a potential risk factor for chronic complications progression in diabetic patients.
Comparison of Glucose Area Under the Curve Measured Using Minimally Invasive Interstitial Fluid Extraction Technology with Continuous Glucose Monitoring System in Diabetic Patients
