Predictive model of nocturnal hypoglycemia based on the data from mobile application for glucose monitoring

Objective: to develop a prognostic algorithm of nocturnal hypoglycemia (NH) based on the glucose monitoring mobile application data. Material and methods. The retrospective analysis of 524 continuous glucose monitoring(CGM) profiles of patients with type 1 diabetes mellitus was performed. CGM was performed using the Medtronic iPro2system for 6-7 days, overnight periods of CGM were analyzed to identify systematic NH. There were 239 patientsincluded in the study, among them 65 (27.1 %) were identified as having systematic NH. Models of 7-point glycemicprofiles were built and their data were uploaded to the DiaLog GM mobile application to calculate standardized glucose monitoring parameters. The prognostic model of NH was developed based on the logistic regression method.Results. According to the results of regression analysis the most significant predictors of NH included in the prognosticmodel were: glycated hemoglobin (p=0.001), using of insulin pump therapy (p=0.001), time below target range level1 (p