The Virtual Diabetes Control and Complications Trial (DCCT) #3: Relationship of HbA1c and Continuous Glucose Monitoring (CGM) Metrics with Cardiovascular Outcomes
Authors' conclusion
Virtual CGM metrics are associated with CV outcomes in people with type 1 diabetes.
Study context
- Population
- DCCT participants with T1D
- Comparison
- Association of HbA1c and virtual CGM metrics with cardiovascular (CV) outcomes
Methodological detailsmultistep machine-learning approach, virtual CGM traces, discrete Cox proportional hazard models
- Multistep machine-learning approach
- Virtual CGM traces
- Discrete Cox proportional hazard models
Primary result
As reported in the abstract
All CV events: adjusted HR per 1 SD change in glucose metrics
Adjusted HR per 1 SD change in HbA1c
1.29
Adjusted HR per 1 SD change in relevant CGM metrics
1.29-1.31
Further findings
Glycemic metrics in participants with vs without a CV outcome
- Mean HbA1c and hyperglycemia CGM metrics consistently higher, TIR (70-180 mg/dL) and time-in-tight-range (70-140 mg/dL) consistently lower, in those with a CV outcome
0.5 SD change in glucose metrics
- Similar pattern seen with a 0.5 SD change
TBR and virtual hypoglycemia metrics
- No increased CV risk as TBR increased; trend toward a slightly protective effect per 1- or 0.5-SD change
Parts of this Brief are withheld: the automatic checks could not confirm them against the abstract.
Original publication
The Virtual DCCT #3: Relationship of HbA1c and CGM Metrics with Cardiovascular Outcomes. Diabetes Technol Ther. Published 13 August 2025. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →