A CGM-Based model for predicting hypoglycemia in type 2 diabetes patients with TIR in target

Abstract

Abstract Aim This study aims to predict risk factors for hypoglycemia in patients with type 2 diabetes mellitus (T2DM) using continuous glucose monitoring (CGM) and with time in range (TIR) > 70%. Methods Data from 111 patients with T2DM who underwent CGM with TIR > 70% were analyzed. A hypoglycemia episode was defined as CGM-detected glucose 70%. These findings suggest that CGM metrics can predict the risk of hypoglycemia in T2DM patients with a TIR > 70%, and the nomogram developed from these metrics holds strong potential for clinical application.

Keywords

• Hypoglycemia
• Type 2 diabetes
• Continuous glucose monitoring
• Time in range
• Nomogram