Table 3.

Multivariate regression analysis. eGFR = estimated glomerular filtration rate; CC-IMT = common carotid intima-media thickness; TPA = total plaque area; N° segments = number of segments involved by atherosclerosis as identified by ultrasound; BMI = body mass index; FRS = 10-years Framingham risk score; HTN = hypertension.

Total brain volume
Variable	β	CI (95%)	p
(Intercept)	1745.6	1556.3; 1934.8	<0.0001
Age	−3.2	−5.3; −0.9	0.003
eGFR	−0.04	−0.7; 0.6	0.90
CC-IMT	−63.8	−154.4; 26.8	0.16
TPA	2.2	−35.3; 3.9	0.90
N° of segments	−5.4	−15.8; 4.9	0.29
Plaque density	−0.03	−0.06; −0.003	0.03
Plaque composition	−24.7	−53,9; 4.5	0.09
GM volume
Variable	β	CI (95%)	p
(Intercept)	895.6	794.1; 997.1	<0.0001
Age	−0.8	−2.1; 0.5	0.22
BMI	−1.2	−3.4; 1.0	0.28
FRS	−0.7	−2.1; 0.6	0.28
HTN	0.1	−20.9; 21.3	0.98
CC-IMT	−25.0	−75.9; 25.9	0.32
TPA	−9.5	−30.1; 11.2	0.36
Plaque density	−0.01	−0.03; 0.01	0.28
Plaque composition	−26.9	−46.4; −74	0.007
WM volume
Variable	β	CI (95%)	p
(Intercept)	755.6	627.1; 884.0	<0.0001
Age	−1.7	−2.9; −0.5	0.008
eGFR	0.3	−0.04; 0.7	0.08
N° segments	−6.1	−11.6; −0.7	0.03