Real-World Hypoglycemia Avoidance With a Predictive Low Glucose Alert Does Not Depend on Frequent Screen Views

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.

[1]  T. Hng,et al.  Appearance of Do‐It‐Yourself closed‐loop systems to manage type 1 diabetes , 2018, Internal medicine journal.

[2]  N. Oliver,et al.  Switching from Flash Glucose Monitoring to Continuous Glucose Monitoring on Hypoglycemia in Adults with Type 1 Diabetes at High Hypoglycemia Risk: The Extension Phase of the I HART CGM Study , 2018, Diabetes technology & therapeutics.

[3]  I. Hirsch,et al.  Clinical Implications of Real-time and Intermittently Scanned Continuous Glucose Monitoring , 2018, Diabetes Care.

[4]  P. Choudhary,et al.  Investigating the Association Between Diabetes Distress and Self-Management Behaviors , 2018, Journal of diabetes science and technology.

[5]  Gregory P. Forlenza,et al.  Predictive Low-Glucose Suspend Reduces Hypoglycemia in Adults, Adolescents, and Children With Type 1 Diabetes in an At-Home Randomized Crossover Study: Results of the PROLOG Trial , 2018, Diabetes Care.

[6]  G. Aleppo,et al.  INTEGRATED INSULIN PUMP AND CONTINUOUS GLUCOSE MONITORING TECHNOLOGY IN DIABETES CARE TODAY: A PERSPECTIVE OF REAL-LIFE EXPERIENCE WITH THE MINIMED™ 670G HYBRID CLOSED-LOOP SYSTEM. , 2018, Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists.

[7]  C. Farrington Psychosocial impacts of hybrid closed‐loop systems in the management of diabetes: a review , 2018, Diabetic medicine : a journal of the British Diabetic Association.

[8]  R. Ajjan,et al.  Real-world flash glucose monitoring patterns and associations between self-monitoring frequency and glycaemic measures: A European analysis of over 60 million glucose tests. , 2018, Diabetes research and clinical practice.

[9]  N. Oliver,et al.  A randomized controlled pilot study of continuous glucose monitoring and flash glucose monitoring in people with Type 1 diabetes and impaired awareness of hypoglycaemia , 2017, Diabetic medicine : a journal of the British Diabetic Association.

[10]  Danielle Hessler,et al.  The Impact of Continuous Glucose Monitoring on Markers of Quality of Life in Adults With Type 1 Diabetes: Further Findings From the DIAMOND Randomized Clinical Trial , 2017, Diabetes Care.

[11]  R. Hovorka,et al.  Closing the Loop in Adults, Children and Adolescents With Suboptimally Controlled Type 1 Diabetes Under Free Living Conditions: A Psychosocial Substudy , 2017, Journal of diabetes science and technology.

[12]  L. Strycker,et al.  Understanding the sources of diabetes distress in adults with type 1 diabetes. , 2015, Journal of diabetes and its complications.

[13]  Ronald D. Coffen The 600-Step Program for Type 1 Diabetes Self-Management in Youth: The Magnitude of the Self-Management Task , 2009, Postgraduate medicine.

[14]  R. Glasgow,et al.  Predicting diabetes distress in patients with Type 2 diabetes: a longitudinal study , 2009, Diabetic medicine : a journal of the British Diabetic Association.

[15]  Howard C. Zisser,et al.  Reduction in hemoglobin A1C with real-time continuous glucose monitoring: results from a 12-week observational study. , 2007, Diabetes technology & therapeutics.

[16]  H. Dambha-Miller,et al.  Medication taking in Type 2 diabetes in the Middle East and North Africa: a systematic review and qualitative synthesis , 2017 .