Exploring the Relationship Between Newly Defined Continuous Glucose Monitoring (CGM) Metrics and the Standard CGM Metrics in 30,000 People with Type 1 Diabetes
Authors' conclusion
For rebound and extended metrics, the most important metric was the number of events/week. RHyper and RHypo had a stronger correlation with CV and hypoglycemia metrics (TBR) than the correlation between CV and TBR. Thus, rebound events have the potential to detect hypoglycemia events caused by glycemic variability.
Study context
- Population
- CGM users with ≥90 days of CGM data, randomly selected from Dexcom Clarity database
- Participants
- 30,000 users
- Outcome
- Correlations between new CGM metrics (RHyper, RHypo, EHyper, EHypo) and standard metrics
Main finding
As reported in the abstract
Coefficient of variation (CV) correlation with rebound hyperglycemia (RHyper) (70-180 mg/dL) events/week
r = 0.67
CV correlation with rebound hypoglycemia (RHypo) (180 to 70 mg/dL) events/week
r = 0.64
Time in range correlation with extended hyperglycemia (EHyper) events/week (strongest among new metrics)
r = −0.88
Correlation between RHyper and RHypo events
r = 0.92
Observational data: associations, not effects.
Further findings
Standard CGM metrics
- Mean time in 70-180 mg/dL
- 61.8 ± 20.7%
- Mean glucose
- 173 ± 37.1 mg/dL
- CV
- 32.1 ± 7.2%
Original publication
Composed by AI from the published abstract and checked against it. How Briefs are made →