Continuous glucose monitoring defined time-in-range is associated with sudomotor dysfunction in type 2 diabetes

Table 3 Binary logistic regression analysis with presence or absence of sudomotor dysfunction as dependent variable

		OR	95%CI	P value
Model 1
TIR	-0.021	0.979	0.971-0.987	< 0.001
Age	0.023	1.024	1.003-1.045	0.027
Smoking	0.632	1.881	1.115-3.174	0.018
Model 2
TIR	-0.024	0.976	0.967-0.986	< 0.001
Age	0.024	1.024	1.003-1.045	0.027
Smoking	0.632	1.881	1.113-3.177	0.018
Model 3
TIR	-0.025	0.975	0.957-0.994	0.010
Age	0.031	1.031	1.008-1.055	0.008
Smoking	0.717	2.047	1.146-3.659	0.016
M value	0.093	1.097	1.040-1.158	0.001

Model 1 was adjusted for age, diabetes duration, sex, body mass index, systolic blood pressure, diastolic blood pressure, smoking, triglyceride, and total cholesterol. Model 2 was adjusted for variables as in model 1 and for HbA1c. Model 3 was adjusted for variables as in model 2 and for glycemic variability values like standard deviation, mean amplitude of glucose excursions, means of daily differences, average daily risk range, and M value. TIR: Time in range; CI: Confidence interval.