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Improvement in Glucose Regulation Using a Digital Tracker and Continuous Glucose Monitoring in Healthy Adults and Those with Type?2 Diabetes

机译:使用数字跟踪器的葡萄糖调节和健康成人的连续葡萄糖监测和2型糖尿病

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IntroductionWhile continuous glucose monitoring (CGM) has been shown to decrease both hyper- and hypoglycemia in insulin-treated diabetes, its value in non-insulin-treated type?2 diabetes (T2D) and prediabetes is unclear. Studies examining the reduction in hyperglycemia with the use of CGM in non-insulin-treated T2D are limited.MethodsWe investigated the potential benefit of CGM combined with a mobile app that links each individual’s glucose tracing to meal composition, heart rate, and physical activity in a cohort of 1022 individuals, ranging from nondiabetic to non-insulin-treated T2D, spanning a wide range of demographic, geographic, and socioeconomic characteristics. The primary endpoint was the change in time in range (TIR), defined as 54–140?mg/dL for healthy and prediabetes, and 54–180?mg/dL for T2D, from the beginning to end of a 10-day period of use of the Freestyle Libre CGM. Logged food intake, physical activity, continuous glucose, and heart rate data were captured by a smartphone-based app that continuously provided feedback to participants, overlaying daily glucose patterns with activity and food intake, including macronutrient breakdown, glycemic load (GL), and glycemic index (GI).ResultsA total of 665 participants meeting eligibility and data requirements were included in the final analysis. Among self-reported nondiabetic participants, CGM identified glucose excursions in the diabetic range among 15% of healthy and 36% of those with prediabetes. In the group as a whole, TIR improved significantly ( p ?0.001). Among the 51.4% of participants who improved, TIR increased by an average of 6.4% ( p ?0.001). Of those with poor baseline TIR, defined as TIR below comparable A1c thresholds for T2D and prediabetes, 58.3% of T2D and 91.7% of healthy/prediabetes participants improved their TIR by an average of 22.7% and 23.2%, respectively. Predictors of improved response included no prior diagnosis of T2D and lower BMI.ConclusionsThese results indicate that 10-day use of CGM as a part of multimodal data collection, with synthesis and feedback to participants?provided by a mobile health app, can significantly reduce hyperglycemia in non-insulin-treated individuals, including those with early stages of glucose dysregulation.
机译:由于胰岛素治疗的糖尿病中,已显示连续葡萄糖监测(CGM)降低超胰岛素治疗的糖尿病中的超血糖和低血糖症,其在非胰岛素处理的型β2糖尿病(T2D)和Prediabetes中的价值。在非胰岛素治疗的T2D中使用CGM的研究检测高血糖血症的研究是有限的。近奇地区研究了CGM与一个移动应用程序相结合的潜在益处,这些移动应用程序将每个个人的葡萄糖追踪到膳食成分,心率和身体活动1022个个体的队列,从非胰岛素治疗的T2D到非胰岛素处理的T2D,跨越广泛的人口,地理和社会经济特征。主要端点是范围内的变化(TIR),定义为54-140毫克/ dL,用于健康和前奶油,54-180?mg / dl用于T2D,从截止到10天期自由式Libre CGM的使用。被记录的食物摄入,身体活动,连续血糖和心率数据被智能手机的应用程序捕获,该应用程序持续向参与者提供反馈,覆盖每日葡萄糖模式,含有活动和食物摄入,包括Macronutrient崩溃,血糖负载(GL)和血糖指数(GI)。Resultsa共有665名与会者会议资格和数据要求的最终分析。在自我报告的非糖尿病参与者中,CGM在糖尿病术中鉴定了糖尿病范围内的葡萄糖偏移,其中15%的健康和36%有前奶油。在整个组中,TIR显着改善(P <0.001)。在改善的51.4%的参与者中,TIR平均增加了6.4%(P <0.001)。基线TIR差的那些,定义为T2D和Prediabetes的比较A1C阈值下调,58.3%的T2D和91.7%的健康/前任参与者分别将其平均提高22.7%和23.2%。改善响应的预测因素包括未经证实的T2D和较低的BMI诊断。结论,结果表明,10天使用CGM作为多模式数据收集的一部分,与参与者的合成和反馈?由移动卫生应用程序提供,可以显着降低高血糖症在非胰岛素治疗的个体中,包括具有葡萄糖失调的早期阶段的个体。

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