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Diabetes Ther. 2021 Jul;12(7):1871-1886. doi: 10.1007/s13300-021-01081-3. Epub 2021 May 28.

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

Diabetes therapy : research, treatment and education of diabetes and related disorders

Ashkan Dehghani Zahedani, Solmaz Shariat Torbaghan, Salar Rahili, Kirill Karlin, Darrin Scilley, Riya Thakkar, Maziyar Saberi, Noosheen Hashemi, Dalia Perelman, Nima Aghaeepour, Tracey McLaughlin, Michael P Snyder

Affiliations

  1. January AI, 1259 El Camino Real #231, Menlo Park, CA, 94025, USA.
  2. January AI, 1259 El Camino Real #231, Menlo Park, CA, 94025, USA. [email protected].

PMID: 34047962 PMCID: PMC8266934 DOI: 10.1007/s13300-021-01081-3

Abstract

INTRODUCTION: While 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.

METHODS: We 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).

RESULTS: A 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.

CONCLUSIONS: These 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.

Keywords: Continuous glucose monitor; Diabetes; Digital health; Prediabetes; Time in range

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