Skip to main content
. 2018 Jun 26;9:498. doi: 10.3389/fneur.2018.00498

Table 2.

Associations between kidney injury measurements and MRI markers of CSVD.

log-WMHV Lacunes BPF
β ± SE p OR (95% CI) p β ± SE p
Log-ACR
Model 1 0.16 ± 0.05 0.001 1.43(1.19,1.70) 0.000 −0.02 ± 0.07 0.785
Model 2 0.11 ± 0.05 0.034 1.27 (1.05, 1.54) 0.014 −0.03 ± 0.07 0.705
Model 3 0.06 ± 0.05 0.279 1.28 (1.04, 1.58) 0.018 −0.09 ± 0.08 0.597
Model 4 0.13 ± 0.05 0.017 1.35 (1.10, 1.66) 0.004 −0.05 ± 0.08 0.551
eGFR
Model 1 −0.03 ± 0.06 0.578 0.77(0.62,0.96) 0.017 0.24 ± 0.09 0.009
Model 2 −0.03 ± 0.06 0.595 0.77(0.61, 0.96) 0.023 0.27 ± 0.09 0.003
Model 3 −0.02 ± 0.06 0.809 0.78 (0.62, 0.99) 0.040 0.26 ± 0.10 0.007
Model 4 −0.06 ± 0.07 0.404 0.74 (0.58, 0.94) 0.014 0.33 ± 0.10 0.001

Model 1: adjustment for age and sex.

Model 2: as in Model 1, with additional adjustment for vascular risk factors (hypertension, diabetes, hyperlipidemia, current smoking, and BMI).

Model 3 and Model 4: as in Model 2, with additional adjustment for baPWV and carotid plaque separately. Analyses involving white matter hyperintensity volume were additionally adjusted for intracranial volume.

ACR, albumin-to-creatinine ratio in urine; eGFR, estimated glomerular filtration rate; WMHV, white matter hyperintensity volume; BPF, brain parenchymal fraction.