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For each patient, we calculated the standard deviation (SD), mean absolute glucose (MAG), mean amplitude of glycemic excursions (MAGE), and lability index (LI).
The difference in glucose variability, described as mean absolute glucose change (MAG), between study arms will be calculated [ 24].
APACHE: Acute Physiology and Chronic Health Evaluation; CI: confidence interval; DM: diabetes mellitus; MAG: mean absolute glucose; OR: odds ratio.
GV was calculated as mean amplitude of glycemic excursions (MAGE), mean absolute glucose (MAG) change, and SD.
Several other methods such as mean absolute glucose change have been proposed but have not gained widespread use.
We calculated the standard deviation (SD) and the mean absolute glucose (MAG) change [ 6] per patient as markers of glycemic variability.
Similar(37)
When compared with actual plasma glucose values, CGMs have an inaccuracy up to 21% (expressed as mean absolute difference, |CGM glucose − plasma glucose|/plasma glucose).
Sensor accuracy, evaluated as the mean absolute relative difference between sensor glucose and paired plasma glucose divided by plasma glucose, was 13.3% (14.7% in early vs. 11.9% in late pregnancy; P = 0.15).
The Clarke error grid, Bland Altman plot, mean absolute relative difference and glucose prediction error analysis were used to express point accuracy and the rate error grid to express trend accuracy.
Sensor accuracy was calculated as the mean absolute relative deviation of the sensor glucose level from the reference venous glucose level for all paired points.
Mean absolute relative difference (MARD) should be <14%% (M ARD = │ blood glucose − sensor glucose)│/blood glucose × 100.
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