Continuous Glucose Monitoring Metrics as a Predictor of Acute Complications in Youth with Type 1 Diabetes
Authors' conclusion
CGM data could serve as additional predictors for acute complications, particularly severe hypoglycemia.
Study context
- Population
- Youth with T1D aged 8–17 enrolled in a 24-month study
- Participants
- 120 participants
- Exposure
- CGM-derived metrics and incidence of acute complications
- Outcome
- Incidence rates of severe hypoglycemia and DKA/severe hyperglycemia
- Follow-up
- 285 person-years of follow-up
Main finding
As reported in the abstract
Severe hypoglycemia
Rate ratio
2.09
P = 0.003
TIR <45% vs TIR ≥45%
Rate ratio
2.03
P = 0.006
CV ≥41% vs CV <41%
- Severe hypoglycemia events
- 75
Observational data: associations, not effects.
Further findings
- Diabetic ketoacidosis (DKA)/severe hyperglycemia events
- 15
- No CGM metrics significantly associated with DKA/severe hyperglycemia
Original publication
Continuous Glucose Monitoring Metrics as a Predictor of Acute Complications in Youth with Type 1 Diabetes. Diabetes Technol Ther. Published 23 June 2025. doi:10.
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