Mohammad Y. Al-Harbi, Saudi Arabia
Ministry of Health Ministry of HealthPresenter of 1 Presentation
FREQUENCY OF FLASH GLUCOSE MONITORING IN RELATION TO GLUCOSE METRICS: REAL-WORLD DATA FROM SAUDI ARABIA
Abstract
Background and Aims
The FreeStyle Libre® flash glucose monitoring system is a sensor-based glucose monitor. The aim of this real-world data study was to analyze glucose metrics from FreeStyle Libre® in relation to scanning frequency in Saudi Arabia.
Methods
Anonymized data from FreeStyle Libre® glucose readers from Saudi Arabia was analyzed for the period October 2015 to June 2020. Sensors, grouped per reader, were required to have ≥120 hours of operation. Readers were rank-ordered by scanning frequency into quartiles. Differences in estimated A1c (eA1c), time in range (TIR), time in hypo- and hyperglycemia, and glucose variation metrics were analyzed in relation to scanning frequency.
Results
A total of 6097 readers, 35,747 sensors and 40 million automatic glucose measurements were analyzed. Patients in the lowest scanning frequency quartile (Q1, mean 5.2 scans/day) had a mean eA1C of 9.77% versus 8.47% (p<0.0001) for the highest scanning frequency quartile (Q4, mean 32.0 scans/day). Mean TIR was 32.8% for Q1 versus 46.4% (p<0.0001) for Q4. Median time below 54 and 70 mg/dL were 1.08% and 3.31% for Q1 versus 0.41% (p<0.05) and 2.31% (p<0.05) for Q4. Mean time above 180 mg/dL was 62.0% for Q1 versus 49.6% (p<0.0001) for Q4. Mean glucose standard deviation and coefficient of variation were 94.9 mg/dL and 41.3% for Q1 versus 75.0 mg/dL (p<0.0001) and 38.2% (p<0.0001) for Q4.
Conclusions
Analysis of real-world data demonstrates that higher scanning frequency in FreeStyle Libre® users is associated with lower eA1c, greater TIR, less time in hypo- and hyperglycemia and lower glucose variation.