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Sampling duration matters: Intraindividual variation of glycaemic metrics in type 1 diabetes using automated insulin
Bo Martin Bibby1, Ermina Bach2,3, Mia Christensen4
1Section for Biostatistics, Department of Public Health, Aarhus University, Aarhus C, Denmark.
Introduction:
Understanding intraindividual variability in glycaemic metrics among users of automated insulin delivery (AID) is essential for interpreting data from continuous glucose monitoring (CGM).
Methods:
CGM data over 56 days were collected from 142 individuals with type 1 diabetes using AID systems. Glycaemic metrics were derived from four 14-day periods and two 28-day periods.
Results:
The 95% limit of agreement for the difference between two measurements of time in range (TIR) from the same individual over 14-day periods was ±13.4%. The risk that two 14-day TIR values from the same individual differed by more than 5% points was 46.5%. If TIR was based on two 28-day periods, the 95% limit of agreement decreased to ±9.0%. The risk that two 28-day TIR values from the same individual differed by more than 5% points was 27.6%.
Conclusion:
A 28-day CGM sampling period is recommended to minimise random variation and obtain more reliable glycaemic metrics.
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