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Clinical Experience |
Pontificia Universidade Católica do Paraná, Curitiba, Parana, Brazil
Objective: Patients on peritoneal dialysis, particularly those
utilizing glucose-based solutions, are exposed to a continuous load of glucose
absorbed from the peritoneal cavity, which may cause difficulties in the
metabolic control. The use of CGMS in the monitoring of diabetic patients
undergoing peritoneal dialysis is not well established. The aim of this study
was to analyze the utility of CGMS in detecting glycemic disorders in this
population. Methods: 27 patients were recruited in the study, and 18
patients completed the 3-day examination using a Medtronic device. Only tests
with at least 24 hours lecture were considered in the analysis, and most
failures were due to catheter disconnection. Results: The mean age of
the patients was 55 years, 8 patients were female, and 8 patients were on APD.
The mean glycemic load was 182 g/day. The mean fasting glycemia was
212±133 mg/dL and the mean HbA1c was 12±4%. The CGMS provided an
area above the higher limit of 49±42, a number of excursions above the
higher limit of 6.3±3.6, and a duration above the higher limit of
55±30%. There were no differences in CGMS results when comparing
patients divided according to their transport status. Although there were no
significant differences in CGMS results between APD and CAPD, glycemic markers
were significantly higher [fasting glycemia (p<0.01), fructosamine
(p<0.001), and HbA1c (p=0.07)] in APD patients compared
to CAPD. When only the night period was analyzed, 50% of the patients showed
alterations (40% with hyperglycemia and 10% with hypoglycemia). We could not
observe significant correlations between CGMS parameters and glycemic markers
in this population. Conclusions: The glycemic control in this
high-risk population is very poor, no matter what marker is utilized. APD
patients appear to have worse glycemic control than CAPD patients. CGMS can
provide useful data to improve glycemic control, particularly in the
identification of nocturnal hyper- and hypoglycemia.
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