Previous analysis of real-world flash glucose monitoring data showed a strong correlation between higher scan frequency and improved glucose control. Robust adoption since then has resulted in a ten-fold increase in data available to confirm these findings. Deidentified data between September 2014 to September 2018, comprising of 592,328 readers and 5,842,193 sensors worldwide, were analyzed. Scan rate per reader was determined and each reader was sorted into twenty equally-sized rank-ordered groups, categorized by scan frequency. Glucose parameters were calculated for each group, including estimated HbA1c, time above, below and within range identified as 70 -180 mg/dL. Users performed an average of 12 scans per day (median:10, interquartile range: 7-14) with a total of 1.71 billion hours of readings and 896 million scans. The estimated HbA1c decreased from 8.2% to 6.7% (66.2 to 50.0 mmol/mol) as scan rate increased from lowest to highest scan groups (3.5 and 38.5 scans/day, respectively; p < 0.001). The time below 54 mg/dL decreased by 26% (p < 0.001), from 31.6 to 23.4 min/day. Time above 240 mg/dL decreased from 5.9 to 2.2 h/day (63%, p < 0.001). Time in range increased from 11.7 h/day to 16.8 h/day (43%, p < 0.001). Overall, 63.0% of readers had time in range >12 hours/day, while comparing those below and above 10 scans per day were 52.1% and 73.1%, respectively. The expanded real-world analysis confirms prior observations that higher rates of scanning to self-monitor glucose strongly correlate with improved glucose measures, including decreased mean glucose and time in hyper- and hypoglycaemia as well as increased time in range.
J. Lang: Employee; Self; Abbott. S. Jangam: Employee; Self; Abbott Laboratories. Employee; Spouse/Partner; Abbott Laboratories. T. Dunn: Employee; Self; Abbott Laboratories. G. Hayter: Employee; Self; Abbott.
