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Abstract: Time from Type 1 Diabetes (T1D) Diagnosis to Clinic-Connected CGM Data is Improving

R. McDonough1,2, S. Tsai1,2, M. Barnes1, C. Vandervelde1, D. Zaharieva3, A. Addala3, S. Patton4, M. Clements1,2

1Children’s Mercy - Kansas City, Kansas City, United States, 2University of Missouri - Kansas City, School of Medicine, Kansas City, United States, 3Stanford University, Palo Alto, United States, 4Nemours Children’s Health, Jacksonville, United States

Introduction: Achieving target glycemic outcomes among youth in the US remains an ongoing challenge, despite the increasing uptake of advanced diabetes technologies. These devices, specifically CGM, are the standard of care for BG monitoring in youth with T1D. Connecting these data directly to clinics through cloud-based portals creates the opportunity for remote monitoring and earlier intervention in response to abnormal glucose patterns.

Objectives: This study aimed to identify if the time from T1D diagnosis to cloud-connected CGM data shortened over time

Methods: All youth, less than 18 years old, newly diagnosed with T1D at a Midwestern USA Pediatric Diabetes Center between 1/2/2017 and 6/29/2023 were included. We measured the number of elapsed days between the T1D Dx date and the first date of recorded CGM data shared with clinic through Dexcom Clarity and/or Glooko. Observation periods were defined as pre-COVID (1/2/17 to 3/16/20), COVID (3/17/20 to 8/31/22), and post-COVID (9/1/22 to 6/29/23)

Results: For all age groups, the time to first streamed CGM data was shortened over the observation period. CGM adoption rates remained stable at ~84% throughout. Average time from T1D Dx to first CGM data among all study participants was 359 days pre-COVID, 79 days during COVID, and 16 days post-COVID. This trend occurred in all age groups (306 to 50 to 8 days in 0-6 year-olds; 561 to 165 to 19 days in 6-12 year-olds; and 711 to 173 to 27 days in 13-18 year olds, respectively)

Conclusions: Time from diagnosis to CGM-streaming data shortened during the observation period. Readily available glucose data may allow for earlier and more frequent/effective remote patient monitoring interventions.

Link: https://www.react-profile.org/upload/KIT/system/uploads/ISPAD2023_Abstracts.pdf