Glycaemia risk index uncovers distinct glycaemic variability patterns associated with remission status in type 1 diabetes
Authors' conclusion
GRI, an integrative index, together with other traditional CGM metrics, helps to identify different glycaemic variability patterns; this might provide specifically tailored monitoring and management strategies for individuals in the various subclusters.
Study context
- Population
- Individuals with T1D
- Participants
- 140 individuals
- Exposure
- Remitters vs non-remitters
- New-onsetn = 24
- Mid-remissionn = 44
- Post-remissionn = 44
- Non-remissionn = 28
- Outcome
- GRI and CGM metrics by remission status
- Follow-up
- 14 days
Main finding
As reported in the abstract
14 days
Glycaemia risk index (GRI) correlation with IDAA1C
r=0.62
p<0.001
Observational data: associations, not effects.
Further findings
Clustering on continuous glucose monitoring (CGM) metrics
- Four subgroups: remitters with low risk of dysglycaemia; non-remitters with high risk of hypoglycaemia; non-remitters with high risk of hyperglycaemia; non-remitters with moderate risk of dysglycaemia
Original publication
Glycaemia risk index uncovers distinct glycaemic variability patterns associated with remission status in type 1 diabetes. Diabetologia. Published 27 October 2023. doi:10.
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