Predicting Glycated Hemoglobin Through Continuous Glucose Monitoring in Real-Life Conditions: Improved Estimation Methods
Authors' conclusion
Improved HbA1c estimation methods result in better HbA1c prediction quality with respect to those based on MIG alone, thus providing quick, but still relatively accurate feedback to diabetologists. They alleviate the discordances reported in literature and, with further improvements, may become a viable complement/alternative to HbA1c assays.
Study context
- Population
- Adults with T1D using G6 (Dexcom) continuous glucose monitoring (CGM) sensors for 120 days, REALISM-T1D study; laboratory HbA1c assays as gold standard
- Participants
- 27 adults
- Comparison
- Improved HbA1c estimation methods vs conventional mean interstitial glucose (MIG)-based methods
- Outcome
- HbA1c estimation quality vs laboratory assay (bias-compensated mean squared error (MSE); BA variance of differences)
Methodological detailsreal-life conditions
- Real-life conditions
Main finding
As reported in the abstract
- Decrease in bland-Altman (BA) plot-related variance of differences vs gold standard with improved methods
- Improved methods vs MIG-based methods: P = 0.0179
Original publication
Predicting Glycated Hemoglobin Through Continuous Glucose Monitoring in Real-Life Conditions: Improved Estimation Methods. J Diabetes Sci Technol. Published 14 March 2022. doi:10.
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