Real-World Continuous Glucose Monitoring Data from a Population with Type 1 Diabetes in South Korea: Nationwide Single-System Analysis
Authors' conclusion
In this South Korean population, higher CGM utilization was associated with a favorably higher mean TIR, which was close to the internationally recommended target. Using its remote data-sharing feature showed beneficial impact on TIR.
Study context
- Population
- Dexcom G6 users with T1D in South Korea, January 2019–January 2023, with ≥90 days of glucose data and continuous glucose monitoring (CGM) use ≥70% of days; mean age 41.5 years, 57% female
- Participants
- 2,288 users
- Exposure
- Higher vs low CGM utilization; data sharing vs no data sharing
- Outcome
- Glycemic metrics, whole cohort
Methodological detailsreal-world, nationwide, single-system analysis
- Real-world
- Nationwide
- Single-system analysis
Main finding
As reported in the abstract
- Mean time in range (TIR)
- 62.4% ± 18.5%
- Mean time below range (TBR) <70 mg/dL
- 2.6% ± 2.8%
- Mean time above range (TAR) >180 mg/dL
- 35.0% ± 19.3%
- Mean glucose
- 168.1 ± 35.8 mg/dL
- Mean GMI
- 7.2% ± 0.9%
- Mean CV
- 36.7% ± 6.0%
Observational data: associations, not effects.
Further findings
TIR by CGM utilization
P < 0.001 for all
TBR <70 mg/dL by CGM utilization
P < 0.001 for all
TAR >180 mg/dL by CGM utilization
P < 0.001 for all
| Outcome | P value |
|---|---|
| TIR by data sharingData shared vs Not shared | P = 0.001 |
- TIR by data sharing: Data shared 63.3%
- TIR by data sharing: Not shared 60.8%
Original publication
Real-World Continuous Glucose Monitoring Data from a Population with Type 1 Diabetes in South Korea: Nationwide Single-System Analysis. Diabetes Technol Ther. Published 26 April 2024. doi:10.
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