Real-World Data from U.S. Commercial Users of the 365-Day Implantable Eversense Continuous Glucose Monitoring System, Including with the Twiist Automated Insulin Delivery System Integration
Authors' conclusion
In this large real-world dataset, the 365-day CGM system demonstrated high adherence and favorable glucometrics sustained over extended wear.
Study context
- Population
- U.S. commercial users of the 365-day implantable Eversense Continuous Glucose Monitoring (CGM) system; open-loop mean age 57 years
- Exposure
- Eversense 365 CGM with open-loop therapies; twiist + Eversense 365 automated insulin delivery (AID) system
- Open-loopn = 12,360 sensors
- Twiist + Eversense 365 AIDn = 153 sensors
- Outcome
- Glucometrics with Eversense 365 CGM in open-loop therapy
- Follow-up
- 365-day wear
Methodological detailsdeidentified data, Eversense Data Management System
- Deidentified data
- Eversense Data Management System
Main finding
As reported in the abstract
- Mean sensor glucose (SG)
- 161 mg/dL
- Glucose management indicator (GMI)
- 7.16%
- Mean % time <54 mg/dL
- 0.6%
- Mean % time <70 mg/dL
- 2.7%
- Mean % TIR 70-180 mg/dL
- 66.2%
- Mean % time >180 mg/dL
- 31.2%
- Mean % time >250 mg/dL
- 9.8%
- Median transmitter wear time
- 93%
Observational data: associations, not effects.
Further findings
CGM readings per sensor (open-loop)
- Mean CGM readings per sensor (±SD)
- 43,225 (±32,394)
Glycemic outcomes, first vs second 180-day period (open-loop) · first and second 180-day periods
- Glycemic outcomes remained stable across the first and second 180-day periods
Glucometrics with twiist + Eversense 365 AID system · >30 days following twiist pairing
- Mean SG
- 145 mg/dL
- GMI
- 6.78%
- TIR
- 76.1%
- % time <70 mg/dL
- 2.3%
- % time <54 mg/dL
- 0.5%
- Median transmitter wear time
- 99%
- 153 sensors
Original publication
Real-World Data from U.S. Commercial Users of the 365-Day Implantable Eversense Continuous Glucose Monitoring System, Including with the Twiist Automated Insulin Delivery System Integration. Diabetes Technol Ther. Published 8 September 2026. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →