Minding the Gaps in Continuous Glucose Monitoring: A Method to Repair Gaps to Achieve More Accurate Glucometrics

Abstract

Estimation of glycemic variability requires frequent measures of glucose and is greatly aided by continuous glucose monitoring (CGM); however, under real-world conditions, missing data or “gaps” of ≥ 10 minutes can occur in CGM data, affecting the reliability of certain estimates. Thus, we determined the magnitude of the gap problem as observed in a cohort of patients with type 2 diabetes and demonstrated an approach to fill the gaps. The approach takes the difference between readings before and after a gap and distributes the difference equally across the number of missing readings, as determined by the sensor's setting for reading frequency. The approach is easy to implement, conservative, and improves estimation of variability measures that reference time, namely, mean of daily differences and continuous overlapping net glycemic action.

Targeting glucose control in preterm infants: pilot studies of continuous glucose monitoring

“…The sensors were well tolerated in these preterm infants despite the babies’ low birth weight, limited subcutaneous tissue and potential risk of infection. The lack of data collection in two of the control babies is in keeping with problems in other study populations 25 26. The size and position of the transmitter was not felt to interfere with care and staff reported the intervention lead to improved care.…”

Characterization of Artifact Influence on the Classification of Glucose Time Series Using Sample Entropy Statistics

“…Although more than one missing sample can be found consecutively (missing epochs), that case is easily detected and usually addressed splitting the record at that point (the longer the gap, the less reliable the calculations become [ 11 ]), and therefore, only the most frequent case of a single missing sample was analyzed.…”

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Sensing interstitial glucose to nudge active lifestyles (SIGNAL): feasibility of combining novel self-monitoring technologies for persuasive behaviour change

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