Table 2.

Associations between white matter integrity and blood pressure variability in univariate and multivariable models

	Univariate		Adjusteda
Variable	Est. (95% CI)	p Value	Est. (95% CI)	p Value
Systolic BP CoV	0.49 (0.32, 0.67)	<0.001**	0.22 (0.06, 0.39)	0.010*
Systolic BP mean	0.25 (0.06, 0.45)	0.010*	0.02 (−0.13, 0.18)	0.790
Age, y	0.46 (0.29, 0.64)	<0.001**	0.18 (−0.02, 0.39)	0.087
Sex, male	−0.01 (−0.21, 0.19)	0.934	−0.01 (−0.16, 0.14)	0.925
Diabetes	0.14 (−0.04, 0.32)	0.141	0.13 (−0.02, 0.28)	0.102
Total CAA score	0.40 (0.22, 0.58)	<0.001**	0.29 (0.14, 0.44)	<0.001**
BPF	−0.49 (−0.66, −0.32)	<0.001**	−0.21 (−0.42, 0.00)	0.053

The primary outcome measure was white matter integrity estimated using peak with of skeletonized mean diffusivity (PSMD). The predictive variables in simple regression models included systolic BP CoV, systolic BP mean, age, sex, diabetes, total CAA severity score, and BPF. All listed covariates were included in the adjusted multivariable model. Abbreviations: BP CoV, blood pressure coefficient of variation; BPF, brain parenchymal fraction; CAA, cerebral amyloid angiopathy; Est., standardized estimate.

^aThe variability explained by the multivariable regression model measured by adjusted R² = 39.1%.

^*p<0.05

^**p<0.01