Object: This study aimed to explore the relationship between Glycemic variability parameters (GV) and sudomotor function in patients with type 2 diabetes.
Methods: All subjects underwent 3d-CGM in parallel with Sudoscan to assess GV and sudomotor function respectively. Sudomotor dysfunction was defined as hands mean electrochemical skin conductance (HESC) < 60 µS.
Results: Among the enrolled 60 patients (53% male, 53±14 years old) , 50% patients were presented with sudomotor dysfunction (SDY group) while the other 50% patients were normal (normal group) . Compared with normal group, patients in SDY group showed an increased level of Standard deviation (SD) and coefficient of variation (CV) (P = 0.001) while time in range (TIR) level was decreased (P = 0.034) . In Spearman correlation analysis, HESC was negatively related with SD (r=-0.29, P= 0.03) and CV (r=-0.27, P= 0.04) , respectively. Logistic regression analysis demonstrated that SD (OR = 0.18, P = 0.018) and CV (OR = 0.82, P = 0.015) but not TIR (OR =2.41, P =0.11) were independent risk factors for the presence of sudomotor dysfunction after adjusting for confounding values.
Conclusions: SD and CV, but not other glycemic variability parameters including TIR, are risk factors of sudomotor dysfunction in Patients with type 2 diabetes.
Key words: Sudomotor Dysfunction; Glycemic Variability; Type 2 Diabetes
X.Chen: None. H.Xu: None. X.Yang: None. W.Xu: None.
Natural Science Foundation of Guangdong Province [2018A030313915]; Medical Scientific Research Foundation of Guangdong Province of China [A2018286].