Table 5.

Multivariate linear regression analysis for WM volume

Model 1(WM)	Non-standardized coefficients		β-coefficient	t	P-value
	β	typical error
Constant	0.324	0.034		9.429	<0.001
Age (years)	−0.001	0.00	−0.370	−2.797	0.007
DM	−0.014	0.006	−0.250	−2.292	0.026
IDHa	−0.001	0.001	−0.221	−2.020	0.048
RRF	0.009	0.007	0.150	1.225	0.222
SBP pre-dialysis	0.00	0.00	−0.074	−0.693	0.491
History of CVD	0.00	0.006	0.009	0.076	0.940
Dialysis vintage	0.00	0.00	−0.018	−0.157	0.876
BMI	0.00	0.001	0.066	0.555	0.581
C-reactive protein	0.002	0.002	0.112	1.017	0.313
Serum albumin	0.004	0.007	0.078	0.682	0.498
Model 2(WM)	Non-standardized coefficients		β-coefficient	t	P-value
	β	typical error
Constant	0.333	0.011		30.467	<0.001
Age (years)	−0.001	0.000	−0.376	−3.690	<0.001
DM	−0.015	0.006	−0.260	−2.715	0.009
IDHa	−0.001	0.001	−0.198	−2.034	0.046
RRF	0.012	0.005	0.208	2.140	0.036

Model 1: multivariable linear regression analysis for white matter volume. Adjusted R²: 0.376. Model 2: multivariable linear regression analysis for white matter volume. Adjusted R²: 0.424. ^aIDH, intradialytic hypotension; Fall20 definition. RRF: residual renal function, defined as diuresis >500 ml/day, SBP: systolic blood pressure, CVD: cardiovascular disease, BMI: body mass index, WM: white matter volume. p: statistical significance.