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Published on: July 5, 2022
CGM Metrics Predict Imminent Progression to Type 1 Diabetes: Autoimmunity Screening for Kids (ASK) Study
Insights
Children with stage 1 type 1 diabetes need accurate monitoring. Continuous glucose monitoring (CGM) metrics, specifically time above 140 mg/dL (TA140), can predict progression to clinical diabetes in high-risk youth.
Area of Science:
- Pediatric Endocrinology
- Diabetes Research
- Metabolic Disease Monitoring
Background:
- Children with stage 1 type 1 diabetes are at high risk of progressing to stage 3 clinical diabetes.
- Accurate monitoring is crucial for identifying children at risk of progression.
Purpose of the Study:
- To establish continuous glucose monitoring (CGM) metrics capable of predicting imminent progression to type 1 diabetes.
- To identify specific CGM parameters that indicate high risk for diabetes development in autoantibody-positive children.
Main Methods:
- The study followed 91 islet autoantibody-positive children using baseline CGM for diabetes development.
- Progression to clinical diabetes was monitored over a median of 6 months.
- CGM metrics including average glucose, glycemic variability, and time above certain glucose thresholds were analyzed.
Main Results:
- Children who progressed to diabetes had significantly higher average glucose levels and increased glycemic variability compared to non-progressors.
- Progressors spent 21% of time with glucose levels >140 mg/dL (TA140), versus 3% in non-progressors.
- A TA140 >10% predicted an 80% risk of progression to diabetes within 1 year, with a high area under the curve (≥0.89) for prediction models.
Conclusions:
- Time above 140 mg/dL (TA140) exceeding 10% is a strong predictor of progression to clinical diabetes in autoantibody-positive children within a year.
- Continuous glucose monitoring (CGM) should be integrated into the monitoring of high-risk children.
- CGM metrics may serve as potential entry criteria for type 1 diabetes prevention trials.
Objective:
Children identified with stage 1 type 1 diabetes are at high risk for progressing to stage 3 (clinical) diabetes and require accurate monitoring. Our aim was to establish continuous glucose monitoring (CGM) metrics that could predict imminent progression to diabetes.
Research Design And Methods:
In the Autoimmunity Screening for Kids study, 91 children who were persistently islet autoantibody positive (median age 11.5 years; 48% non-Hispanic White; 57% female) with a baseline CGM were followed for development of diabetes for a median of 6 (range 0.2-34) months. Of these, 16 (18%) progressed to clinical diabetes in a median of 4.5 (range 0.4-29) months.
Results:
Compared with children who did not progress to clinical diabetes (nonprogressors), those who did (progressors) had significantly higher average sensor glucose levels (119 vs. 105 mg/dL, P < 0.001) and increased glycemic variability (SD 27 vs. 16, coefficient of variation, 21 vs. 15, mean of daily differences 24 vs. 16, and mean amplitude of glycemic excursions 43 vs. 26, all P < 0.001). For progressors, 21% of the time was spent with glucose levels >140 mg/dL (TA140) and 8% of time >160 mg/dL, compared with 3% and 1%, respectively, for nonprogressors. In survival analyses, the risk of progression to diabetes in 1 year was 80% in those with TA140 >10%; in contrast, it was only 5% in the other participants. Performance of prediction by receiver operating curve analyses showed area under the curve of ≥0.89 for both individual and combined CGM metric models.
Conclusions:
TA140 >10% is associated with a high risk of progression to clinical diabetes within the next year in autoantibody-positive children. CGM should be included in the ongoing monitoring of high-risk children and could be used as potential entry criterion for prevention trials.
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