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Continuous Glucose Monitoring for Prediabetes: What Are the Best Metrics?
Salwa J Zahalka1, Rodolfo J Galindo2, Viral N Shah3
1Division of Endocrinology, Metabolism and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Journal of Diabetes Science and Technology
|April 17, 2024
Summary
Continuous glucose monitoring (CGM) can aid prediabetes management, but guidelines are lacking. This review suggests CGM metrics and highlights glycemic variability, like mean amplitude of glycemic excursion (MAGE), for early dysglycemia detection.
Area of Science:
- Endocrinology
- Metabolic Health
- Diabetes Research
Background:
- Continuous glucose monitoring (CGM) has revolutionized diabetes care.
- Its potential in prediabetes identification and management is significant.
- However, consensus guidelines and high-quality evidence for CGM in prediabetes are currently absent.
Purpose of the Study:
- To review the current literature on CGM use in prediabetes.
- To suggest potential CGM metrics for prediabetes.
- To explore the role of glycemic variability (GV) in prediabetes development.
Main Methods:
- Systematic search of PubMed for English-language articles on CGM in nonpregnant adults with prediabetes.
- Inclusion criteria: articles published by November 1, 2023.
- Exclusion criteria: studies involving type 1 diabetes or individuals at risk for type 1 diabetes.
Main Results:
- Limited data currently exists on CGM use in prediabetes.
- Potential CGM metrics for prediabetes are proposed.
- Glycemic variability (GV) is identified as a key factor in the transition to prediabetes.
Conclusions:
- Emerging GV indices, such as mean amplitude of glycemic excursion (MAGE), show promise in identifying early dysglycemia.
- MAGE may become a crucial CGM metric for prediabetes in the future.
- Further research is needed to establish definitive CGM guidelines for prediabetes.
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