Table 2.  Multivariate linear regression analysis to identify variables independently associated with estimated glomerular filtration rate.

	Model 1*		Model 2†
	β	P	β	P
Age	−0.325	<0.001	−0.343	<0.001
AER	−0.194	0.007	−0.225	0.002
AASI	−0.152	0.025	–	–

*r² = 0.216; †r² = 0.198. The independent variables evaluated were age, sex, body mass index, HbA1c, serum lipid levels (total cholesterol, high‐density lipoprotein–cholesterol, triglycerides), systolic blood pressure, nocturnal/daytime systolic blood pressure ratio, the use of renin–angiotensin system inhibitors, and either ambulatory arterial stiffness index (AASI; Model 1) or brachial–ankle pulse wave velocity (baPWV; Model 2).