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GoCARB in the Context of an Artificial Pancreas
#MMPMID25904142
Agianniotis A
; Anthimopoulos M
; Daskalaki E
; Drapela A
; Stettler C
; Diem P
; Mougiakakou S
J Diabetes Sci Technol
2015[May]; 9
(3
): 549-55
PMID25904142
show ga
BACKGROUND: In an artificial pancreas (AP), the meals are either manually
announced or detected and their size estimated from the blood glucose level. Both
methods have limitations, which result in suboptimal postprandial glucose
control. The GoCARB system is designed to provide the carbohydrate content of
meals and is presented within the AP framework. METHOD: The combined use of
GoCARB with a control algorithm is assessed in a series of 12 computer
simulations. The simulations are defined according to the type of the control
(open or closed loop), the use or not-use of GoCARB and the diabetics' skills in
carbohydrate estimation. RESULTS: For bad estimators without GoCARB, the
percentage of the time spent in target range (70-180 mg/dl) during the
postprandial period is 22.5% and 66.2% for open and closed loop, respectively.
When the GoCARB is used, the corresponding percentages are 99.7% and 99.8%. In
case of open loop, the time spent in severe hypoglycemic events (<50 mg/dl) is
33.6% without the GoCARB and is reduced to 0.0% when the GoCARB is used. In case
of closed loop, the corresponding percentage is 1.4% without the GoCARB and is
reduced to 0.0% with the GoCARB. CONCLUSION: The use of GoCARB improves the
control of postprandial response and glucose profiles especially in the case of
open loop. However, the most efficient regulation is achieved by the combined use
of the control algorithm and the GoCARB.
|*Algorithms
[MESH]
|*Pancreas, Artificial
[MESH]
|Blood Glucose/analysis
[MESH]
|Cell Phone
[MESH]
|Computer Simulation
[MESH]
|Diabetes Mellitus, Type 1/diet therapy/*drug therapy
[MESH]
free
free
free
