Accepted for/Published in: JMIR Diabetes
Date Submitted: Nov 1, 2022
Date Accepted: Jan 5, 2023
Date Submitted to PubMed: Jan 5, 2023
Glycemic Outcomes and Feature Set Engagement Among Real-Time Continuous Glucose Monitoring Users with Type 1 or Non-Insulin Treated Type 2 Diabetes: A Retrospective Analysis of Real-World Data
ABSTRACT
Background:
The benefits of real-time continuous glucose monitoring (RT-CGM) are well-established for patients with type 1 diabetes (T1D) and patients with insulin-treated type 2 diabetes (T2D). However, the usage and effectiveness of RT-CGM in the context of non-insulin treated (NIT) T2D has not been well studied.
Objective:
We aimed to assess glycemic metrics and rates of RT-CGM feature utilization in T1D and NIT T2D users.
Methods:
We retrospectively analyzed data from 33,685 US-based users of a RT-CGM system (Dexcom G6) who self-identified as having either T1D (n=26,706) or T2D and not using insulin (n=6,979). Data included glucose concentrations, alarm settings, feature usage, and event logs.
Results:
The T1D cohort had lower proportions of glucose values in the 70-180 mg/dl range than the T2D cohort (52.1% vs. 70.8%, respectively), with more values indicating hypoglycemia or hyperglycemia, and higher glycemic variability. Discretionary alarms were enabled by large majorities of both cohorts. The data sharing feature was used by 38.6% of those with T1D and 10.5% of those with T2D, and the mean number of followers was higher in the T1D cohort. Large proportions of patients with T1D or T2D enabled their glucose alerts and customized their glucose alerts. Retrospective analysis features were used by majorities of both cohorts (T1D: 59.1%, T2D: 53.8%).
Conclusions:
Similar to patients with T1D, patients with NIT T2D use RT-CGM system features suggesting beneficial, routine engagement with their data by patients and others involved in their care. Motivated patients with diabetes could benefit from RT-CGM coverage.
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