Associations between continuous glucose monitoring-derived metrics and HbA1c in patients with type 2 diabetes mellitus

Aims: The aim of this study was to define the relationship between time in range (TIR) and hemoglobin A1c (HbA1c) levels in patients with type 2 diabetes mellitus (T2DM). Methods: The glycemic profile of 999 Japanese patients was analyzed with FreeStyle Libre Pro Continuous Glucose Monitoring (FLP-CGM) while they continued their prescribed glucose-lowering medications. FLP-CGM data recorded over 8 consecutive days were analyzed. Results: The regression model for HbA1c on TIR was HbA1c = 9.4966-0.0309 x TIR. The predicted HbA1c level for TIR of 70% was 7.33% and is higher than reports subjecting mostly T1DM. The TIR corresponding to HbA1c 7.0% was 80.64%. The patients with low TIR tended to have long duration of diabetes, used high dose of daily insulin, high body mass index, high HbA1c, liver dysfunction and high triglyceride. Relatively higher percentages of patients of this group used sulfonylureas, glucagon like peptide-1 receptor agonists and insulin. Conclusions: Our data showed predicted HbA1c corresponding to TIR is largely depends on study population, thus is not uniform. Our results provide new insights on the management of T2DM. However, caution should be exercised in extending the HbA1C-TIR relationship using FLP-CGM to any other sensors since there could be a risk of hypoglycemia in doing so.

Automated summary

This study aimed to investigate the relationship between TIR and HbA1c levels in patients with T2DM. The analysis of glycemic profile in Japanese patients revealed a predictive relationship between TIR and HbA1c. Patients with lower TIR tended to have additional diabetes-related complications and medication use. These findings provide valuable insights for the management of T2DM, but caution should be exercised when using different sensors.