Frequency of flash glucose monitoring and glucose metrics: real-world observational data from Saudi Arabia.

ABSTRACT:

Background

This real-world data study analyzed glucose metrics from FreeStyle Libre^® flash glucose monitoring in relation to scanning frequency, time in range (TIR) and estimated A1c (eA1c) in Saudi Arabia.

Methods

Anonymized reader data were analyzed according to scanning frequency quartiles, eA1c categories (<7%,≥7%‒≤9% or>9%) and TIR categories (<50%,≥50%‒≤70% or>70%). Sensors, grouped by reader, were required to have≥120 h of operation. Differences in scanning frequency, eA1c, TIR, time in hypoglycemia and hyperglycemia, and glucose variability (standard deviation [SD] and coefficient of variation [CV]) were analyzed between groups.

Results

6097 readers, 35,747 sensors, and 40 million automatic glucose measurements were analyzed. Patients in the highest

SUBMITTER: Al-Harbi MY 

PROVIDER: S-EPMC9063302 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature