BACKGROUND: Frequent real-time continuous glucose monitoring (rtCGM) data viewing has been associated with reduced mean glucose and frequent scanning of an intermittently scanned continuous glucose monitoring (isCGM) system has been associated with reduced hypoglycemia for patients with diabetes. However, requiring patients to frequently interact with their glucose monitoring devices to detect actual or impending hypoglycemia is burdensome. We hypothesized that a predictive low glucose alert, which forecasts glucose ≤55 mg/dL within 20 minutes and is included in a new rtCGM system, could mitigate hypoglycemia without requiring frequent device interaction. METHODS: We analyzed estimated glucose values (EGVs) from an anonymized convenience sample of 15,000 patients who used Dexcom G6 (Dexcom, Inc, San Diego, CA, USA) and its mobile app for at least 30 days with or without the "Urgent Low Soon" alert (ULS) enabled. Screen view frequency was determined as the frequency with which the trend screen was accessed on the app. Multiple screen views within any 5-minute interval were counted as one. Hypoglycemia exposure for patients in the top and bottom quartiles of screen view frequency (>8.25 and <3.30 per day, respectively) was calculated as the percentage of EGVs below various thresholds. RESULTS: Over 93% of users enabled the ULS alert; its use was associated with significantly reduced hypoglycemia <55 and <70 mg/dL, independent of screen view frequency. CONCLUSION: Use of the G6 ULS alert may disencumber rtCGM users by promoting significant reductions in hypoglycemia without requiring frequent device interactions.
BACKGROUND: Frequent real-time continuous glucose monitoring (rtCGM) data viewing has been associated with reduced mean glucose and frequent scanning of an intermittently scanned continuous glucose monitoring (isCGM) system has been associated with reduced hypoglycemia for patients with diabetes. However, requiring patients to frequently interact with their glucose monitoring devices to detect actual or impending hypoglycemia is burdensome. We hypothesized that a predictive low glucose alert, which forecasts glucose ≤55 mg/dL within 20 minutes and is included in a new rtCGM system, could mitigate hypoglycemia without requiring frequent device interaction. METHODS: We analyzed estimated glucose values (EGVs) from an anonymized convenience sample of 15,000 patients who used Dexcom G6 (Dexcom, Inc, San Diego, CA, USA) and its mobile app for at least 30 days with or without the "Urgent Low Soon" alert (ULS) enabled. Screen view frequency was determined as the frequency with which the trend screen was accessed on the app. Multiple screen views within any 5-minute interval were counted as one. Hypoglycemia exposure for patients in the top and bottom quartiles of screen view frequency (>8.25 and <3.30 per day, respectively) was calculated as the percentage of EGVs below various thresholds. RESULTS: Over 93% of users enabled the ULS alert; its use was associated with significantly reduced hypoglycemia <55 and <70 mg/dL, independent of screen view frequency. CONCLUSION: Use of the G6 ULS alert may disencumber rtCGM users by promoting significant reductions in hypoglycemia without requiring frequent device interactions.
Authors: Lawrence Fisher; William H Polonsky; Danielle M Hessler; Umesh Masharani; Ian Blumer; Anne L Peters; Lisa A Strycker; Vicky Bowyer Journal: J Diabetes Complications Date: 2015-02-07 Impact factor: 2.852
Authors: Gregory P Forlenza; Zoey Li; Bruce A Buckingham; Jordan E Pinsker; Eda Cengiz; R Paul Wadwa; Laya Ekhlaspour; Mei Mei Church; Stuart A Weinzimer; Emily Jost; Tatiana Marcal; Camille Andre; Lori Carria; Vance Swanson; John W Lum; Craig Kollman; William Woodall; Roy W Beck Journal: Diabetes Care Date: 2018-08-08 Impact factor: 19.112
Authors: Artur Myśliwiec; Maria Skalska; Arkadiusz Michalak; Jędrzej Chrzanowski; Małgorzata Szmigiero-Kawko; Agnieszka Lejk; Joanna Jastrzębska; Łukasz Radzimiński; Guillermo F López-Sánchez; Andrzej Gawrecki; Zbigniew Jastrzębski Journal: Int J Environ Res Public Health Date: 2021-01-15 Impact factor: 3.390