Assess the Impact of Insulclock on Glycemic Variability and Treatment Compliance in Uncontrolled DM1 Patients
Insulclock® is a small electronic device developed to facilitate the optimal administration of insulin. This device works as an add-on module of commercially available insulin pens and monitors the date, time and dose of injections, the type of insulin injected, the duration of injections and insulin temperature. The Insulclock 360 app allows automatic data logging, report generation and reminder setting, among other functions. In this study, we pretend to show the clinical impact of Insulclock system, both device and mobile application, on glycemic indices, treatment compliance, and quality of life in patients with persistent poorly controlled T1DM. Material and methods: Randomized open-label multicenter controlled trial to evaluate glycemic control, the number of missed and delayed insulin doses, and quality of life after seven weeks of Insulclock 360 use in participants with uncontrolled DM1. We will also compare these results between patients with or without receiving system reminders and alerts. This study aims to assess the effect of Insulclock on glycemic control, treatment adherence, and quality of life. As a secondary objective, we will compare the study outcomes between participants in the Active and Masked Insulclock groups (i.e., with or without receiving alerts and reminders and accessing the app). To assess glycemic control, we will measure HbA1C and glycemic indices. Glycemic variability indices will be monitored with the FreeStyle Libre™ and included glucose coefficient of variation (CV), standard deviation (SD), time in range (TIR), time above range (TAR), and time below range (TBR). Mean glucose levels will be obtained from 48-h time intervals with the FreeStyle Libre. A late meal bolus (mistimed) will be considered when Insulclock detects the injection at least 30 minutes after the CGM rise. To identify meal glucose excursions, we will use the Glucose Rate Increase Detector (GRID) algorithm, which estimates the rate of change (ROC) of glucose from CGM data. Participants will complete the ITSQ and the DTSQ, which are validated questionnaires to assess the diabetes treatment satisfaction.
Start: March 2021