Evaluation of the mean absolute glucose change as a measure of glycemic variability using continuous glucose monitoring data
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Published on: February 24, 2023
Klaus-Dieter Kohnert1, Peter Heinke, Gert Fritzsche
1Gerhardt Katsch Institute of Diabetes, Karlsburg, 17495, Germany. kohnert@diabetes-karlsburg.de
Background:
The mean absolute glucose (MAG) change, originally developed to assess associations between glycemic variability (GV) and intensive care unit mortality, has not yet been validated. We used continuous glucose monitoring (CGM) datasets from patients with diabetes to assess the validity of MAG and to quantify associations with established measures of GV.
Subjects And Methods:
Validation was based on retrospective analysis of 72-h CGM data collected during clinical studies involving 815 outpatients (48 with type 1 diabetes and 767 with type 2 diabetes). Measures of GV included SD around the sensor glucose, interquartile range, mean amplitude of glycemic excursions, and the continuous overlapping net glycemic action indices at 1, 3, and 6 h. MAG was calculated using 5-min, 60-min, and seven-point glucose profile sampling intervals; correlations among the variability measures and effects of sampling frequency were assessed.
Results:
Strong linear correlations between MAG change and classical markers of GV were documented (r=0.587-0.809, P<0.001 for all), whereas correlations with both glycosylated hemoglobin and mean sensor glucose were found to be weak (r=0.246 and r=0.378, respectively). The magnitude of MAG change decreased in a nonlinear fashion (P<0.001), as intervals between glucose measurements increased. MAG change, as calculated from 5-min sensor glucose readings, did reflect relatively small differences in glucose fluctuations associated with glycemic treatment modality.
Conclusions:
MAG change represents a valid GV index if closely spaced sensor glucose measurements are used, but does not provide any advantage over variability indices already used for assessing diabetes control.
Insights
Mean Absolute Glucose (MAG) change is a valid glycemic variability (GV) index with frequent glucose monitoring. However, it offers no advantages over existing GV measures for diabetes management.
Area of Science:
- Endocrinology
- Metabolic Diseases
- Biomedical Engineering
Background:
- Glycemic variability (GV) is crucial in diabetes management.
- Mean Absolute Glucose (MAG) change is a proposed GV metric needing validation.
- Continuous Glucose Monitoring (CGM) data enables GV assessment.
Purpose of the Study:
- Validate the Mean Absolute Glucose (MAG) change metric.
- Assess MAG change's correlation with established GV measures.
- Evaluate MAG change's utility in diabetes control.
Main Methods:
- Retrospective analysis of 72-h CGM data from 815 outpatients with type 1 and type 2 diabetes.
- Compared MAG change with SD, IQR, MAGE, and CONGA indices.
- Assessed MAG change using 5-min, 60-min, and seven-point sampling intervals.
Main Results:
- Strong linear correlations (r=0.587-0.809) found between MAG change and classical GV markers.
- Weak correlations observed between MAG change and HbA1c (r=0.246) or mean glucose (r=0.378).
- MAG change magnitude decreased non-linearly with increased sampling intervals.
Conclusions:
- MAG change is a valid GV index when using frequent CGM data (e.g., 5-min intervals).
- MAG change does not offer superior insights compared to existing GV indices.
- The utility of MAG change is limited by the frequency of glucose measurements.
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