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CGM Metrics Identify Dysglycemic States in Participants From the TrialNet Pathway to Prevention Study.
- Source :
-
Diabetes care [Diabetes Care] 2023 Mar 01; Vol. 46 (3), pp. 526-534. - Publication Year :
- 2023
-
Abstract
- Objective: Continuous glucose monitoring (CGM) parameters may identify individuals at risk for progression to overt type 1 diabetes. We aimed to determine whether CGM metrics provide additional insights into progression to clinical stage 3 type 1 diabetes.<br />Research Design and Methods: One hundred five relatives of individuals in type 1 diabetes probands (median age 16.8 years; 89% non-Hispanic White; 43.8% female) from the TrialNet Pathway to Prevention study underwent 7-day CGM assessments and oral glucose tolerance tests (OGTTs) at 6-month intervals. The baseline data are reported here. Three groups were evaluated: individuals with 1) stage 2 type 1 diabetes (n = 42) with two or more diabetes-related autoantibodies and abnormal OGTT; 2) stage 1 type 1 diabetes (n = 53) with two or more diabetes-related autoantibodies and normal OGTT; and 3) negative test for all diabetes-related autoantibodies and normal OGTT (n = 10).<br />Results: Multiple CGM metrics were associated with progression to stage 3 type 1 diabetes. Specifically, spending ≥5% time with glucose levels ≥140 mg/dL (P = 0.01), ≥8% time with glucose levels ≥140 mg/dL (P = 0.02), ≥5% time with glucose levels ≥160 mg/dL (P = 0.0001), and ≥8% time with glucose levels ≥160 mg/dL (P = 0.02) were all associated with progression to stage 3 disease. Stage 2 participants and those who progressed to stage 3 also exhibited higher mean daytime glucose values; spent more time with glucose values over 120, 140, and 160 mg/dL; and had greater variability.<br />Conclusions: CGM could aid in the identification of individuals, including those with a normal OGTT, who are likely to rapidly progress to stage 3 type 1 diabetes.<br /> (© 2023 by the American Diabetes Association.)
Details
- Language :
- English
- ISSN :
- 1935-5548
- Volume :
- 46
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- Diabetes care
- Publication Type :
- Academic Journal
- Accession number :
- 36730530
- Full Text :
- https://doi.org/10.2337/dc22-1297