ArticleDiabetes care2024
Early Dysglycemia Is Detectable Using Continuous Glucose Monitoring in Very Young Children at Risk of Type 1 Diabetes.
Article in Diabetes care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Continuous glucose monitoring using the FreeStyle Libre Pro iQ in presymptomatic type 1 diabetes.Diabetologia · 2026Article
- Burden and Risk Factors of CGM-Detected Hypoglycemia in Older Adults With Type 2 Diabetes.Journal of the American Geriatrics Society · 2026Article
- Continuous glucose monitoring as a tool in early-stage type 1 diabetes.Diabetologia · 2026Review
- Co-designing a new clinical pathway to support families with children identified as having early-stage type 1 diabetes in Western Australia.Diabetologia · 2026Article
- Article
- Immune cell-adipose tissue crosstalk in metabolic diseases with a focus on type 1 diabetes.Diabetologia · 2025Review
- Type 1 diabetes risk factors, risk prediction and presymptomatic detection: Evidence and guidance for screening.Diabetes, obesity & metabolism · 2025Review
- The Current Landscape for Screening and Monitoring of Early-Stage Type 1 Diabetes.Journal of paediatrics and child health · 2025Review
- Repeated OGTT Versus Continuous Glucose Monitoring for Predicting Development of Stage 3 Type 1 Diabetes: A Longitudinal Analysis.Diabetes care · 2025Article
- Pre-Type 1 Diabetes in Adolescents and Teens: Screening, Nutritional Interventions, Beta-Cell Preservation, and Psychosocial Impacts.Journal of clinical medicine · 2025Review
- Parental experiences of using continuous glucose monitoring in their young children with early-stage type 1 diabetes: a qualitative interview study.Frontiers in clinical diabetes and healthcare · 2024Article
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Authors and funding
15 authors.
Funding
Abstract
objectiveContinuous glucose monitoring (CGM) can detect early dysglycemia in older children and adults with presymptomatic type 1 diabetes (T1D) and predict risk of progression to clinical onset. However, CGM data for very young children at greatest risk of disease progression are lacking. This study aimed to investigate the use of CGM data measured in children being longitudinally observed in the Australian Environmental Determinants of Islet Autoimmunity (ENDIA) study from birth to age 10 years. RESEARCH DESIGN AND
methodsBetween January 2021 and June 2023, 31 ENDIA children with persistent multiple islet autoimmunity (PM Ab+) and 24 age-matched control children underwent CGM assessment alongside standard clinical monitoring. The CGM metrics of glucose SD (SDSGL), coefficient of variation (CEV), mean sensor glucose (SGL), and percentage of time >7.8 mmol/L (>140 mg/dL) were determined and examined for between-group differences.
resultsThe mean (SD) ages of PM Ab+ and Ab- children were 4.4 (1.8) and 4.7 (1.9) years, respectively. Eighty-six percent of eligible PM Ab+ children consented to CGM wear, achieving a median (quartile 1 [Q1], Q3) sensor wear period of 12.5 (9.0, 15.0) days. PM Ab+ children had higher median (Q1, Q3) SDSGL (1.1 [0.9, 1.3] vs. 0.9 [0.8, 1.0] mmol/L; P < 0.001) and CEV (17.3% [16.0, 20.9] vs. 14.7% [12.9, 16.6]; P < 0.001). Percentage of time >7.8 mmol/L was greater in PM Ab+ children (median [Q1, Q3] 8.0% [4.4, 13.0] compared with 3.3% [1.4, 5.3] in Ab- children; P = 0.005). Mean SGL did not differ significantly between groups (P = 0.10).
conclusionsCGM is feasible and well tolerated in very young children at risk of T1D. Very young PM Ab+ children have increased SDSGL, CEV, and percentage of time >7.8 mmol/L, consistent with prior studies involving older participants.
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