Continuous Glucose Monitoring (CGM) devices have been recently approved by FDA to be used in the type 1 diabetes (T1D) treatment non-adjunctively, i.e. without confirmatory fingerstick (SMBG) measurements (Edelman, JDST, 2017). Consequently, how to tune insulin bolus relying also on glucose rate of change (ROC), has become of particular interest. Our aim is to evaluate extensively in silico empirical literature methods proposed for such a scope.
In Silico Assessment of Literature Methods to Adjust Insulin Bolus Dose according to CGM Trend
Francesca Marturano
;Giacomo Cappon
;Martina Vettoretti;Andrea Facchinetti;Giovanni Sparacino
2017
Abstract
Continuous Glucose Monitoring (CGM) devices have been recently approved by FDA to be used in the type 1 diabetes (T1D) treatment non-adjunctively, i.e. without confirmatory fingerstick (SMBG) measurements (Edelman, JDST, 2017). Consequently, how to tune insulin bolus relying also on glucose rate of change (ROC), has become of particular interest. Our aim is to evaluate extensively in silico empirical literature methods proposed for such a scope.
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