Published online Mar 15, 2025. doi: 10.4239/wjd.v16.i3.99277
Revised: November 9, 2024
Accepted: December 23, 2024
Published online: March 15, 2025
Processing time: 186 Days and 20.2 Hours
Continuous glucose monitoring (CGM) metrics, such as time in range (TIR) and glycemic risk index (GRI), have been linked to various diabetes-related complications, including diabetic foot (DF).
To investigate the association between CGM-derived indicators and the risk of DF in individuals with type 2 diabetes mellitus (T2DM).
A total of 591 individuals with T2DM (297 with DF and 294 without DF) were enrolled. Relevant clinical data, complications, comorbidities, hematological parameters, and 72-hour CGM data were collected. Logistic regression analysis was employed to examine the relationship between these measurements and the risk of DF.
Individuals with DF exhibited higher mean blood glucose (MBG) levels and increased proportions of time above range (TAR), TAR level 1, and TAR level 2, but lower TIR (all P < 0.001). Patients with DF had significantly lower rates of achieving target ranges for TIR, TAR, and TAR level 2 than those without DF (all P < 0.05). Logistic regression analysis revealed that GRI, MBG, and TAR level 1 were positively associated with DF risk, while TIR was inversely correlated (all P < 0.05). Achieving TIR and TAR was inversely correlated with white blood cell count and glycated hemoglobin A1c levels (P < 0.05). Additionally, achieving TAR was influenced by fasting plasma glucose, body mass index, diabetes duration, and antidiabetic medication use.
CGM metrics, particularly TIR and GRI, are significantly associated with the risk of DF in T2DM, emphasizing the importance of improved glucose control.
Core Tip: The study investigated the relationship between continuous glucose monitoring (CGM) metrics, specifically time in range (TIR), and the risk of diabetic foot (DF) in individuals with type 2 diabetes mellitus. Our findings indicate that DF risk was inversely associated with TIR but positively correlated with glycemic risk index, mean blood glucose, and time above range (TAR) level 1. Achieving optimal TIR and TAR targets was negatively influenced by elevated white blood cell count and glycated hemoglobin A1c levels. These insights emphasize the importance of achieving optimal CGM targets for improved management of DF complications.
