The advanced hybrid closed loop improves glycemia risk index, continuous glucose monitoring index, and time in range in children with type 1 diabetes: real-world data from a single center study

Abstract

Introduction: The Glycemia Risk Index (GRI) and Continuous Glucose Monitoring Index (COGI) are newly defined composite metric parameters derived from continuous glucose monitoring (CGM) data. GRI is divided into five separate risk zones (from lowest to highest: A-E). In this study, the effect of the advanced hybrid closed loop (AHCL) system on GRI and COGI in children with type 1 diabetes was evaluated. Materials and Methods: Forty-five children who had started using the AHCL and whose baseline and sixth-month CGM data were available were analyzed in terms of achievement of CGM consensus goals and changes in GRI scores and zones. The paired t-test was used for the analyses. Results: The mean age and duration of diabetes of the participants were 10.95 +/- 3.41 and 3.85 +/- 2.67 years, respectively. The mean GRI score significantly decreased from 35.66 +/- 17.46 at baseline to 22.83 +/- 9.08 at 6 months (P < 0.001). Although the proportion of those in the A zone was 20% at baseline, it increased to 42% at 6 months. AHCL also improved COGI from 72.59 +/- 12.44 to 82.90 +/- 7.72 (P < 0.001). Time in range (TIR) increased significantly from 70.54% to 80.51% (P < 0.001) at 6 months. Conclusion: AHCL provides not only an improvement in TIR but also a significant improvement in both GRI and COGI at 6 months. The incorporation of GRI and COGI alongside TIR may enhance the assessment of the glycemic profile by providing a more comprehensive and in-depth analysis.