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J Diabetes Sci Technol ; 11(6): 1089-1095, 2017 Nov.
Article in English | MEDLINE | ID: mdl-28633537

ABSTRACT

BACKGROUND: Closed-loop (CL) systems aims to outperform usual treatments in blood glucose control and continuous glucose monitors (CGM) are a key component in such systems. Meals represents one of the main disturbances in blood glucose control, and postprandial period (PP) is a challenging situation for both CL system and CGM accuracy. METHODS: We performed an extensive analysis of sensor's performance by numerical accuracy and precision during PP, as well as its influence in blood glucose control under CL therapy. RESULTS: During PP the mean absolute relative difference (MARD) for both sensors presented lower accuracy in the hypoglycemic range (19.4 ± 12.8%) than in other ranges (12.2 ± 8.6% in euglycemic range and 9.3 ± 9.3% in hyperglycemic range). The overall MARD was 12.1 ± 8.2%. We have also observed lower MARD for rates of change between 0 and 2 mg/dl. In CL therapy, the 10 trials with the best sensor spent less time in hypoglycemia (PG < 70 mg/dl) than the 10 trials with the worst sensors (2 ± 7 minutes vs 32 ± 38 minutes, respectively). CONCLUSIONS: In terms of accuracy, our results resemble to previously reported. Furthermore, our results showed that sensors with the lowest MARD spent less time in hypoglycemic range, indicating that the performance of CL algorithm to control PP was related to sensor accuracy.


Subject(s)
Blood Glucose Self-Monitoring , Blood Glucose/drug effects , Diabetes Mellitus, Type 1/diagnosis , Diabetes Mellitus, Type 1/drug therapy , Hypoglycemic Agents/administration & dosage , Insulin Infusion Systems , Insulin/administration & dosage , Postprandial Period , Adult , Algorithms , Biomarkers/blood , Blood Glucose/metabolism , Blood Glucose Self-Monitoring/instrumentation , Diabetes Mellitus, Type 1/blood , Female , Humans , Hypoglycemia/blood , Hypoglycemia/chemically induced , Hypoglycemia/diagnosis , Hypoglycemic Agents/adverse effects , Insulin/adverse effects , Insulin Infusion Systems/adverse effects , Male , Middle Aged , Predictive Value of Tests , Reproducibility of Results , Signal Processing, Computer-Assisted , Time Factors , Transducers , Treatment Outcome
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