Dataset Information

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 scanning frequency quartile (Q4, mean 32.0 scans/day) had lower eA1c (8.47%), greater TIR (46.4%) and lower glucose variation (SD 75.0 mg/dL, CV 38.2%) compared to the lowest quartile (Q1, mean 5.2 scans/day; eA1c 9.77%, TIR 32.8%, SD 94.9 mg/dL, CV 41.3%). Lower eA1c and higher TIR were associated with greater scanning frequency, lower glucose variability and less time in hyperglycemia.

Conclusions

Higher scanning frequency in flash glucose users from Saudi Arabia is associated with lower eA1c, higher TIR, lower glucose variability and less time in hypoglycemia or hyperglycemia.

SUBMITTER: Al-Harbi MY

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

REPOSITORIES: biostudies-literature

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Publications

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

Al-Harbi Mohammad Y MY Albunyan Abdulhameed A Alnahari Ahmed A Kao Kalvin K Brandner Laura L El Jammal Manal M Dunn Timothy C TC

Diabetology & metabolic syndrome 20220503 1

<h4>Background</h4>This real-world data study analyzed glucose metrics from FreeStyle Libre<sup>®</sup> flash glucose monitoring in relation to scanning frequency, time in range (TIR) and estimated A1c (eA1c) in Saudi Arabia.<h4>Methods</h4>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 frequ ...[more]

PMID: 35501880

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Dataset Information

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

Background

Methods

Results

Conclusions

Publications

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

Similar Datasets

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