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Published on: July 5, 2022
Longitudinal Continuous Glucose Monitoring Study in Young Children With Presymptomatic Type 1 Diabetes Followed in
Aveni Haynes1,2, Grant J Smith1, Alexandra Tully1
1Children's Diabetes Centre, The Kids Research Institute Australia, Nedlands, Western Australia, Australia.
Insights
Continuous glucose monitoring (CGM) data in children with presymptomatic type 1 diabetes shows high variability. Further research is needed to interpret these important glucose metrics.
Area of Science:
- Pediatrics
- Endocrinology
- Diabetes Research
Background:
- Type 1 diabetes (T1D) is an autoimmune disease affecting children.
- Presymptomatic T1D can be identified through islet autoantibodies.
- Early monitoring of glucose trends is crucial for understanding disease progression.
Purpose of the Study:
- To analyze longitudinal continuous glucose monitoring (CGM) data in young children with presymptomatic type 1 diabetes.
- To characterize glucose variability and trends before clinical diagnosis.
- To assess the utility of CGM in early-stage T1D research.
Main Methods:
- Utilized blinded CGM assessments every 3-6 months in children from the Australian ENDIA study with multiple islet autoantibodies.
- Analyzed CGM-derived metrics including SD sensor glucose, coefficient of variation, mean sensor glucose, and time above 7.8 mmol/L (140 mg/dL).
- Data collected between 2021 and 2024, correlating metrics with time from islet autoantibody detection.
Main Results:
- Analyzed 178 CGM assessments from 36 children (median age 4.5 years at first assessment).
- Observed significant within-person variability in serial CGM metrics, such as percent CGM time >7.8 mmol/L (ICC 0.30).
- Data highlights challenges in interpreting CGM in this pediatric cohort.
Conclusions:
- Significant within-person variability in CGM metrics was found in young children with presymptomatic T1D.
- Further research is required to establish reliable interpretation guidelines for CGM data in this population.
- CGM shows potential for monitoring but requires context for clinical application in early T1D.
Objective:
To characterize longitudinal continuous glucose monitoring (CGM) data in young children with presymptomatic type 1 diabetes.
Research Design And Methods:
Between 2021 and 2024, children in the Australian ENDIA study with persistent multiple islet autoimmunity underwent blinded CGM assessments every 3-6 months. CGM-derived metrics (SD sensor glucose, coefficient of variation, mean sensor glucose, and percent CGM time >7.8 mmol/L [140 mg/dL]) were determined for each child by time from islet autoantibody detection.
Results:
A total of 178 CGM assessments were analyzed for 36 children (median [Q1, Q3] age at first assessment 4.5 [3.5, 6.0] years) who underwent a median of 5.5 (2.0, 7.0) assessments of 11 (9, 15) days duration each. High within-person variability was observed in serial CGM metrics, including percent CGM time >7.8 mmol/L (140 mg/dL) (intraclass correlation coefficient 0.30).
Conclusions:
Further research is needed to inform interpretation of CGM-derived metrics in young children with presymptomatic type 1 diabetes.
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