Use of the Glycemia Risk Index at Hybrid Closed-Loop Initiation to Predict Combined International Glucose Targets at 12 Months: Results From the CIRDIA Study Group.
Sylvie Picard, Joëlle Dupont, Fabienne Amiot-Chapoutot, Blandine Courbebaisse, Estelle Personeni, Emmanuelle Lecornet-Sokol, François Mougel, Clara Bouché, Françoise Giroud, Sandrine Lablanche, Sophie Borot
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引用次数: 0
Abstract
Background: Hybrid closed-loop (HCL) therapy helps reaching efficacy and safety glucose targets (ESGT+) in persons with type 1 diabetes (PwT1D). We analyzed here the glycemia risk index (GRI) in PwT1D at HCL initiation (M0) and at 12 months (M12) and determined whether M0GRI value and/or M0GRI zone (A-B-C-D-E) could identify people reaching M12ESGT+.
Methods: This was a retrospective study. Consecutive PwT1D who started HCL in a CIRDIA center were included after written consent. Glucose parameters were manually extracted from platforms at M0 and M12. ESGT+ meant reaching time in range (TIR) > 70% and glucose management indicator < 7% and time below range (TBR)<70 < 4% and TBR<54< 1%. Glycemia risk index was calculated and receiver-operating characteristic (ROC) analyses were performed to study the relation between M0GRI and M12ESGT+/M12ESGT-.
Results: M12 data were available for 128 PwT1D. M0GRI predicted M12ESGT mostly for low and high M0GRI values. An M0GRI < 41 had a 90% specificity, a 36% sensitivity, and a 74% positive predictive value for M12ESGT+. Sensitivity increased to 80% but specificity dropped to 56% for M0GRI < 61 and M0GRI ≥ 61 had a 78% negative predictive value. All PwT1D with M0GRI 0 to 20 (zone A) reached M12ESGT+. Then, the percentage of M12ESGT+ people dropped about 25% per M0GRI zone (A-B-C-D) and to 11% for zone E.
Conclusions: M0GRI was significantly associated with M12ESGT status but mostly when in zones A-B or D-E. Hybrid closed-loop training should focus on PwT1D with M0GRI ≥ 41 (90% of M12ESGT- persons), but reaching M12ESGT+ is possible with M0GRI in zones C-D-E (64% of M12ESGT+ persons) and even D-E (20% of M12ESGT+ persons).
期刊介绍:
The Journal of Diabetes Science and Technology (JDST) is a bi-monthly, peer-reviewed scientific journal published by the Diabetes Technology Society. JDST covers scientific and clinical aspects of diabetes technology including glucose monitoring, insulin and metabolic peptide delivery, the artificial pancreas, digital health, precision medicine, social media, cybersecurity, software for modeling, physiologic monitoring, technology for managing obesity, and diagnostic tests of glycation. The journal also covers the development and use of mobile applications and wireless communication, as well as bioengineered tools such as MEMS, new biomaterials, and nanotechnology to develop new sensors. Articles in JDST cover both basic research and clinical applications of technologies being developed to help people with diabetes.