Time In Range in Children with Type 1 Diabetes Using Treatment Strategies Based on Nonautomated Insulin Delivery Systems in the Real World

Abstract

Background: Glucose sensors consist of real-time continuous glucose monitoring (rtCGM) and intermittently scanned CGM (isCGM). Their clinical use has been widely increasing during the past 5 years. The aim of this study is to evaluate percentage of time in range (TIR) in a large group of children with type 1 diabetes (T1D) using glucose sensors with nonautomated insulin delivery systems, in a real-world setting. Methods: An 11-center cross-sectional study was conducted during January-May 2019. Children with T1D <18 years, all using rtCGM or isCGM for >1 year, treated with multiple daily injections (MDI) or nonautomated insulin pump (IP), were recruited consecutively. Clinical data, HbA1c measurement, and CGM downloaded data were collected by each center and included in a centralized database for the analysis. Glucose metrics of four treatment strategies were analyzed: isCGM-MDI, rtCGM-MDI, isCGM-IP, and rtCGM-IP. Results: Data from 666 children with T1D (51% male and 49% female), median age 12 years, diabetes duration 5 years, were analyzed. An rtCGM was used by 51% of the participants, and a nonautomated IP by 46%. For isCGM-MDI, rtCGM-MDI, isCGM-IP, and rtCGM-IP, the median TIR 70-180 mg/dL values were 49%, 56%, 56%, and 61% (P < 0.001), respectively; HbA1c 7.6%, 7.5%, 7.3%, and 7.3% (P < 0.001), respectively. Use of rtCGM was associated with significant lower time below target range <70 mg/dL and reduced the percentage coefficient of variation of glucose (%CV), independently by the insulin delivery system used. Conclusions: Among nonautomated insulin delivery strategies, simultaneous use of rtCGM and IP was associated with higher percentage of TIR, lower time above range >180 mg/dL and lower HbA1c. If there are no barriers, an upgrade of the treatment strategy with a higher performing technology should be offered to all children who do not achieve blood glucose metrics within the suggested range.

Keywords: Coefficient of variation; Real-world evaluation; Time above range, %; Time below range; Time in range.