Association of Continuous Glucose Monitoring–Derived Glycemia Risk Index With Cardiovascular Autonomic Neuropathy in Patients With Type 1 Diabetes Mellitus: A Cross-sectional Study
Authors' conclusion
The GRI is significantly associated with CAN in patients with type 1 diabetes and may be a better CGM metric than TIR for predicting CAN.
Study context
- Population
- Patients with T1D who underwent autonomic function tests; Cardiovascular autonomic neuropathy (CAN) defined as ≥2 abnormal parasympathetic tests by age-specific reference
- Participants
- 165 patients
- Exposure
- Glycemia risk index (GRI) vs conventional continuous glucose monitoring (CGM) metrics for association with CAN
- Outcome
- Association between GRI and CAN
Methodological detailsretrospective analysis of 3-month CGM data
- Retrospective analysis of 3-month CGM data
Main finding
As reported in the abstract
Association of GRI with CAN
OR of CAN per 1-SD increase in GRI, multivariate logistic regression adjusted for covariates incl. HbA1c
9.05
95% CI 2.21–36.96P = .002
Observational data: associations, not effects.
Further findings
Prevalence of CAN
- Overall prevalence of CAN
- 17.1%
Other CGM metrics and CAN
- Time in range (TIR) and coefficient of variation (CV) also significantly associated with CAN in the multivariate model
AUC for prediction of CAN
- AUC of GRI
- 0.85 (95% CI 0.76-0.94)
- AUC of TIR (95% CI 0.71-0.89); GRI superior, P for comparison = .046
- 0.80
- AUC of CV (95% CI 0.57-0.84); GRI superior, P for comparison = .049
- 0.71
Original publication
Association of Continuous Glucose Monitoring–Derived Glycemia Risk Index With Cardiovascular Autonomic Neuropathy in Patients With Type 1 Diabetes Mellitus: A Cross-sectional Study. J Diabetes Sci Technol. Published 14 October 2024. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →