Improved Glycemic Control in Insulin-Treated Individuals With Poorly Controlled Type 2 Diabetes Through Combined Structured Education With Real-Time Continuous Glucose Monitoring.
Jee Hee Yoo, Ji Eun Jun, Soo Heon Kwak, Jae Hyeon Kim
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引用次数: 0
Abstract
Background: We evaluated the efficacy of structured individualized education combined with real-time continuous glucose monitoring (rt-CGM, Dexcom G6) in improving glycemic outcomes in insulin-treated adults with poorly controlled type 2 diabetes (T2D).
Methods: This multicenter, 16-week, single-arm study included 66 adults with T2D (multiple daily insulin [MDI]: 33; basal insulin: 33) with a ≥7.8%. Each cohort comprised 15 participants aged ≥60 years. The participants attended four educational sessions. The primary outcome was a change in glycated hemoglobin (HbA1c) levels between baseline and week 16.
Results: Sixty-four individuals were included in this study, with a mean age of 58.3 ± 12.4 years. The mean HbA1c levels decreased from 9.0% at baseline to 7.1% at 16 weeks in the MDI group (difference: -1.8%, 95% confidence interval [CI] = -2.3 to -1.3) and from 8.8% to 7.0% in the basal insulin group (difference: -1.8%, 95% CI = -2.1 to -1.4). In the total population, the mean time in range 70 to 180 mg/dL increased by 25.2% (6 hours 4 minutes, 95% CI = 20.6 to 29.8), whereas the time in tight range 70 to 140 mg/dL increased by 17.3% (4 hours 10 minutes, 95% CI = 14.0 to 20.7). Both groups maintained a target of <1% of the time below the range of <54 mg/dL. Improvements in HbA1c and CGM metrics were comparable between individuals aged ≥60 years and those aged <60 years (all P-values for interaction >.1).
Conclusions: In adults with poorly controlled insulin-treated T2D, rt-CGM use with structured education significantly improved the HbA1c and CGM metrics, primarily by reducing hyperglycemia, regardless of age.
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.