Table 2. Multiple linear regression analysis of the association between eGFR and serum endostatin.

	Variable	Beta	P-value	F	Adjusted R2
Model 1	Mean carotid IMT (mm)	0.05	0.166	27.5	0.224
	Log-transformed serum endostatin (ng/mL)	−0.24	< 0.001
Model 2	Mean carotid IMT (mm)	0.04	0.340	10.1	0.237
	Log-transformed serum endostatin (ng/mL)	−0.20	< 0.001
Model 3	Mean carotid IMT (mm)	0.04	0.272	24.0	0.221
	Log-transformed serum endostatin (ng/mL)	−0.26	< 0.001

Beta coefficient and P-value were calculated by multiple linear regression.

Model 1: Adjusted for significant risk factors found in the univariate analysis (age, current smoking, HbA1c, low-density lipoprotein cholesterol, and uric acid).

Model 2: Adjusted for the known covariates sex, body mass index, systolic blood pressure, diastolic blood pressure, high-density lipoprotein cholesterol, and triglycerides in addition to the adjustments made for model 1.

Model 3: Adjusted for the covariates age, sex, HbA1c, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, and uric acid selected by stepwise method from significant parameters with serum endostatin level in Table 1.

eGFR: estimated glomerular filtration rate, IMT: intima-media thickness, HbA1c: hemoglobin A1c